Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests
Vegetation optical depth (VOD) is seasonally sensitive to plant water content and aboveground biomass. This index has a strong penetrability within the vegetation canopy and is less impacted by atmosphere aerosol contamination effects, clouds and sun illumination than optical vegetation indices. VOD...
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| Published in | Remote sensing of environment Vol. 285; p. 113409 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.02.2023
Elsevier |
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| Abstract | Vegetation optical depth (VOD) is seasonally sensitive to plant water content and aboveground biomass. This index has a strong penetrability within the vegetation canopy and is less impacted by atmosphere aerosol contamination effects, clouds and sun illumination than optical vegetation indices. VOD is thus increasingly applied in ecological applications, e.g., carbon stock, phenology and vegetation monitoring. However, VOD retrieval over dense forests is subject to uncertainties caused by the thick canopy and complex multiple scattering effects. Thus, a comprehensive evaluation of VOD products over dense forests is needed for effective and accurate applications. This study evaluated the seasonal variations of eight recently developed/reprocessed VOD products at different frequencies (e.g., Ku-, X-, C- and L-band) over Amazon intact forests, supported by the ORCHIDEE-CAN-NHA model-simulated vegetation water content. Furthermore, we also explored the potential causes of VOD retrieval issues, in terms of retrieval algorithm uncertainties.
We first confirmed that soil water availability dominated seasonal dynamics of vegetation water content over Amazon intact forests. This was verified by model-simulated vegetation water content and by C-band radar backscatter observations. Generally, evening or midday vegetation water content shows higher correlations with soil moisture than morning or midnight vegetation water content. In terms of ability of morning or midnight VOD products to follow the seasonality of soil moisture, active microwave ASCAT-IB C-VOD (median seasonal correlation with soil moisture (R) ∼ 0.50) outperforms the passive microwave VOD products, followed by passive microwave AMSR2 X-VOD (R ∼ 0.26) and VODCA X-VOD (R ∼ 0.16). However, SMOS-IC L-VOD (R ∼ −0.15) and AMSR2 C1-VOD (R ∼ −0.20) show obviously negative seasonal correlations with soil moisture across most pixels. This implausible behavior is likely to be caused by the inappropriate setting of time-invariant scattering effects in the passive microwave VOD retrieval algorithms, which could lead to an overestimation of the VOD amplitude during dry seasons. Thus, we recommend that the seasonal scattering effects be considered in the passive microwave VOD retrieval algorithms. These findings can contribute to the improvement of VOD retrieval algorithms and help with the development of their ecological applications over Amazon dense forests.
•A comprehensive evaluation of VOD products over Amazon is conducted•Soil water availability dominates seasonal variations in vegetation water content•ASCAT-IB VOD shows a high ability to capture the seasonality of plant water content•Seasonal scattering effects should be considered to retrieve VOD in Amazon |
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| AbstractList | Vegetation optical depth (VOD) is seasonally sensitive to plant water content and aboveground biomass. This index has a strong penetrability within the vegetation canopy and is less impacted by atmosphere aerosol contamination effects, clouds and sun illumination than optical vegetation indices. VOD is thus increasingly applied in ecological applications, e.g., carbon stock, phenology and vegetation monitoring. However, VOD retrieval over dense forests is subject to uncertainties caused by the thick canopy and complex multiple scattering effects. Thus, a comprehensive evaluation of VOD products over dense forests is needed for effective and accurate applications. This study evaluated the seasonal variations of eight recently developed/reprocessed VOD products at different frequencies (e.g., Ku-, X-, C- and L-band) over Amazon intact forests, supported by the ORCHIDEE-CAN-NHA model-simulated vegetation water content. Furthermore, we also explored the potential causes of VOD retrieval issues, in terms of retrieval algorithm uncertainties.
We first confirmed that soil water availability dominated seasonal dynamics of vegetation water content over Amazon intact forests. This was verified by model-simulated vegetation water content and by C-band radar backscatter observations. Generally, evening or midday vegetation water content shows higher correlations with soil moisture than morning or midnight vegetation water content. In terms of ability of morning or midnight VOD products to follow the seasonality of soil moisture, active microwave ASCAT-IB C-VOD (median seasonal correlation with soil moisture (R) ∼ 0.50) outperforms the passive microwave VOD products, followed by passive microwave AMSR2 X-VOD (R ∼ 0.26) and VODCA X-VOD (R ∼ 0.16). However, SMOS-IC L-VOD (R ∼ −0.15) and AMSR2 C1-VOD (R ∼ −0.20) show obviously negative seasonal correlations with soil moisture across most pixels. This implausible behavior is likely to be caused by the inappropriate setting of time-invariant scattering effects in the passive microwave VOD retrieval algorithms, which could lead to an overestimation of the VOD amplitude during dry seasons. Thus, we recommend that the seasonal scattering effects be considered in the passive microwave VOD retrieval algorithms. These findings can contribute to the improvement of VOD retrieval algorithms and help with the development of their ecological applications over Amazon dense forests.
•A comprehensive evaluation of VOD products over Amazon is conducted•Soil water availability dominates seasonal variations in vegetation water content•ASCAT-IB VOD shows a high ability to capture the seasonality of plant water content•Seasonal scattering effects should be considered to retrieve VOD in Amazon Vegetation optical depth (VOD) is seasonally sensitive to plant water content and aboveground biomass. This index has a strong penetrability within the vegetation canopy and is less impacted by atmosphere aerosol contamination effects, clouds and sun illumination than optical vegetation indices. VOD is thus increasingly applied in ecological applications, e.g., carbon stock, phenology and vegetation monitoring. However, VOD retrieval over dense forests is subject to uncertainties caused by the thick canopy and complex multiple scattering effects. Thus, a comprehensive evaluation of VOD products over dense forests is needed for effective and accurate applications. This study evaluated the seasonal variations of eight recently developed/reprocessed VOD products at different frequencies (e.g., Ku-, X-, C- and L-band) over Amazon intact forests, supported by the ORCHIDEE-CAN-NHA model-simulated vegetation water content. Furthermore, we also explored the potential causes of VOD retrieval issues, in terms of retrieval algorithm uncertainties.We first confirmed that soil water availability dominated seasonal dynamics of vegetation water content over Amazon intact forests. This was verified by model-simulated vegetation water content and by C-band radar backscatter observations. Generally, evening or midday vegetation water content shows higher correlations with soil moisture than morning or midnight vegetation water content. In terms of ability of morning or midnight VOD products to follow the seasonality of soil moisture, active microwave ASCAT-IB C-VOD (median seasonal correlation with soil moisture (R) ∼ 0.50) outperforms the passive microwave VOD products, followed by passive microwave AMSR2 X-VOD (R ∼ 0.26) and VODCA X-VOD (R ∼ 0.16). However, SMOS-IC L-VOD (R ∼ −0.15) and AMSR2 C1-VOD (R ∼ −0.20) show obviously negative seasonal correlations with soil moisture across most pixels. This implausible behavior is likely to be caused by the inappropriate setting of time-invariant scattering effects in the passive microwave VOD retrieval algorithms, which could lead to an overestimation of the VOD amplitude during dry seasons. Thus, we recommend that the seasonal scattering effects be considered in the passive microwave VOD retrieval algorithms. These findings can contribute to the improvement of VOD retrieval algorithms and help with the development of their ecological applications over Amazon dense forests. |
| ArticleNumber | 113409 |
| Author | Tao, Shengli Yao, Yitong Green, Julia K. Li, Wei Tian, Feng Frappart, Frédéric Albergel, Clément Wang, Huan Li, Shuangcheng Wang, Mengjia Wigneron, Jean-Pierre Ciais, Philippe Fan, Lei Li, Xiaojun Liu, Xiangzhuo |
| Author_xml | – sequence: 1 givenname: Huan surname: Wang fullname: Wang, Huan organization: College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China – sequence: 2 givenname: Jean-Pierre surname: Wigneron fullname: Wigneron, Jean-Pierre email: jean-pierre.wigneron@inrae.fr organization: INRAE, UMR1391 ISPA, Université de Bordeaux, F-33140 Villenave d'Ornon, France – sequence: 3 givenname: Philippe surname: Ciais fullname: Ciais, Philippe organization: Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France – sequence: 4 givenname: Yitong surname: Yao fullname: Yao, Yitong organization: Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France – sequence: 5 givenname: Lei surname: Fan fullname: Fan, Lei organization: Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China – sequence: 6 givenname: Xiangzhuo surname: Liu fullname: Liu, Xiangzhuo organization: INRAE, UMR1391 ISPA, Université de Bordeaux, F-33140 Villenave d'Ornon, France – sequence: 7 givenname: Xiaojun surname: Li fullname: Li, Xiaojun organization: INRAE, UMR1391 ISPA, Université de Bordeaux, F-33140 Villenave d'Ornon, France – sequence: 8 givenname: Julia K. surname: Green fullname: Green, Julia K. organization: Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France – sequence: 9 givenname: Feng surname: Tian fullname: Tian, Feng organization: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China – sequence: 10 givenname: Shengli surname: Tao fullname: Tao, Shengli organization: College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China – sequence: 11 givenname: Wei surname: Li fullname: Li, Wei organization: Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China – sequence: 12 givenname: Frédéric surname: Frappart fullname: Frappart, Frédéric organization: INRAE, UMR1391 ISPA, Université de Bordeaux, F-33140 Villenave d'Ornon, France – sequence: 13 givenname: Clément surname: Albergel fullname: Albergel, Clément organization: European Space Agency Climate Office, ECSAT, Harwell Campus, OX11 0FD, Didcot, Oxfordshire, UK – sequence: 14 givenname: Mengjia surname: Wang fullname: Wang, Mengjia organization: School of Geoscience and Technology, Zhengzhou University, 450001, China – sequence: 15 givenname: Shuangcheng surname: Li fullname: Li, Shuangcheng organization: College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China |
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| Cites_doi | 10.1016/j.agrformet.2006.05.003 10.1029/JC087iC13p11229 10.1038/ngeo2382 10.1016/j.rse.2015.11.009 10.1016/j.rse.2021.112605 10.1016/j.rse.2019.111307 10.1016/j.agrformet.2013.04.031 10.1111/gcb.15872 10.1146/annurev.pp.40.060189.000315 10.1016/j.rse.2019.111215 10.1038/s41559-018-0630-3 10.1016/j.rse.2019.111451 10.1038/nature14213 10.1016/0034-4257(91)90057-D 10.1002/joc.6549 10.1175/JAMC-D-13-0270.1 10.1016/j.rse.2016.04.006 10.1029/2018EF000890 10.1111/nph.15271 10.1029/2020RG000728 10.1038/s41561-019-0312-z 10.1016/j.jhydrol.2018.11.027 10.1111/gcb.16017 10.1016/j.rse.2017.01.024 10.1016/j.rse.2021.112726 10.1073/pnas.0705414105 10.1002/2015GB005270 10.1038/s41558-021-01026-5 10.1080/13658810802443457 10.1016/j.rse.2020.112238 10.3390/rs11232769 10.1029/2020GB006893 10.1126/sciadv.abb7232 10.1111/gcb.13389 10.3389/feart.2018.00228 10.5109/4586 10.1016/0022-1694(70)90255-6 10.1038/nature16457 10.1109/TGRS.2002.807577 10.1126/science.aad5068 10.5194/bg-15-5779-2018 10.1126/science.1164033 10.1038/s41477-018-0304-9 10.1109/TGRS.2016.2519842 10.1109/JSTARS.2017.2703629 10.1109/TGRS.2011.2178158 10.1038/nature18326 10.1109/JSTARS.2021.3124857 10.1126/science.1244693 10.1109/LGRS.2005.843983 10.1038/nature14283 10.3390/rs9050457 10.3390/rs13030339 10.1126/sciadv.aay4603 10.1007/s00442-005-0108-2 10.1109/TGRS.2014.2386142 10.1109/TGRS.2007.898254 10.1016/j.rse.2021.112556 10.1002/2017GL073747 10.1016/j.rse.2010.12.015 10.1109/JSTARS.2016.2639043 10.3390/rs10121868 10.3390/rs12182915 10.1016/j.rse.2019.111502 10.1073/pnas.1712381114 10.1111/nph.17254 10.1038/s41467-022-28490-7 10.1016/j.rse.2019.03.026 10.1002/2017JG004145 10.1109/JSTARS.2016.2618838 10.1029/2021GL095267 10.1016/j.rse.2015.10.021 10.1016/j.rse.2011.10.024 10.1029/2021JG006677 10.1016/j.jhydrol.2007.01.030 10.1111/j.1467-8306.1970.tb00743.x 10.1016/j.rse.2014.04.006 10.5589/m02-035 10.1109/TGRS.2003.817976 10.1038/s41558-022-01287-8 10.1109/TGRS.2009.2016652 10.1016/j.ecolind.2016.02.052 10.1038/s41559-018-0530-6 10.1109/36.225537 10.1002/2016GL072388 10.1016/j.rse.2021.112587 10.1016/S0034-4257(00)00103-6 10.1016/j.rse.2016.11.022 10.1016/j.rse.2016.01.008 10.1111/nph.14009 10.1016/j.rse.2019.111473 10.1016/j.rse.2020.112208 10.1093/jxb/48.1.1 10.5194/hess-26-2997-2022 10.1109/TGE.1978.294586 10.1073/pnas.1305499111 10.5194/essd-12-177-2020 10.1029/2007JF000769 10.1109/TGRS.2012.2194156 10.1016/j.rse.2015.02.002 10.1046/j.1365-3040.2003.01039.x 10.1016/j.rse.2016.02.056 10.1111/nph.15808 10.1073/pnas.0908741107 10.1029/2008JB005602 10.1127/0941-2948/2013/0399 10.1016/j.rse.2022.113272 10.1016/0034-4257(94)00081-W 10.1126/science.abb3021 10.1016/j.rse.2022.112921 10.1016/j.rse.2019.111384 10.1038/s41477-019-0478-9 10.1016/j.rse.2012.10.021 10.1109/TGRS.2010.2091139 10.1029/2011GL047436 10.1073/pnas.1908157116 10.1016/j.rse.2018.10.022 10.5194/essd-9-791-2017 |
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| Keywords | SMOS-IC ASCAT-IB Seasonality ORCHIDEE-CAN-NHA land surface model VODCA Amazon forest Vegetation optical depth Vegetation water content AMSR2 seasonality |
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| References | Frappart, Wigneron, Li, Liu, Al-Yaari, Fan, Wang, Moisy, Le Masson, Lafkih, Valle, Ygorra, Baghdadi (bb0140) 2020; 12 Barlow, Lennox, Ferreira, Berenguer, Lees, Mac Nally, Thomson, Ferraz, Louzada, Oliveira, Parry, Solar, Vieira, Aragao, Begotti, Braga, Cardoso, de Oliveira, Souza, Moura, Nunes, Siqueira, Pardini, Silveira, Vaz-de-Mello, Veiga, Venturieri, Gardner (bb0010) 2016; 535 Powell, Koven, Johnson, Faybishenko, Fisher, Knox, McDowell, Condit, Hubbell, Wright, Chambers, Kueppers (bb0405) 2018; 219 Zhang, Joiner, Alemohammad, Zhou, Gentine (bb0625) 2018; 15 Meesters, De Jeu, Owe (bb0330) 2005; 2 Santos, Silva, Galvao, Treuhaft, Mura, Madsen, Goncalves, Keller (bb0455) 2014 Wang, Fan, Frappart, Ciais, Sun, Liu, Li, Liu, Moisy, Wigneron (bb0560) 2021; 263 Xu, Konings, Longo, Feldman, Xu, Saatchi, Wu, Wu, Moorcroft (bb0610) 2021; 231 Feldman, Chaparro, Entekhabi (bb0115) 2021; 14 Ulaby, Batlivala, Dobson (bb0515) 1978; 16 Doughty, Kohler, Frankenberg, Magney, Xiao, Qin, Wu, Moore (bb0080) 2019; 116 Tyree, Sperry (bb0510) 1989; 40 Yao, Joetzjer, Ciais, Viovy, Aleina, Chave, Sack, Bartlett, Meir, Fisher, Luyssaert (bb0620) 2022 Lee, Kim (bb0245) 2019; 568 Nagasuga (bb0365) 2004; 49 Hornbuckle, England, Anderson, Viner (bb0170) 2006; 138 Konings, Yu, Xu, Yang, Schimel, Saatchi (bb0225) 2017; 44 Brando, Balch, Nepstad, Morton, Putz, Coe, Silverio, Macedo, Davidson, Nobrega, Alencar, Soares (bb0030) 2014; 111 Jones, Jones, Kimball, McDonald (bb0185) 2011; 115 van Emmerik, Steele-Dunne, Judge, van de Giesen (bb0525) 2015; 53 Ma, Zeng, Zhang, Fu, Zheng, Wigneron, Chen, Niyogi (bb0310) 2021; 264 Xu, Medvigy, Powers, Becknell, Guan (bb0615) 2016; 212 Brando, Goetz, Baccini, Nepstad, Beck, Christman (bb0035) 2010; 107 Meinzer, James, Goldstein, Woodruff (bb0335) 2003; 26 Danielson, Gesch (bib2022120714153) 2011 Wigneron, Calvet, Kerr, Chanzy, Lopes (bb0570) 1993; 31 Lenton, Held, Kriegler, Hall, Lucht, Rahmstorf, Schellnhuber (bb0250) 2008; 105 Saleska, Wu, Guan, Araujo, Huete, Nobre, Restrepo-Coupe (bb0445) 2016; 531 Oliveira, Dawson, Burgess, Nepstad (bb0380) 2005; 145 Konings, Saatchi, Frankenberg, Keller, Leshyk, Anderegg, Humphrey, Matheny, Trugman, Sack, Agee, Barnes, Binks, Cawse-Nicholson, Christoffersen, Entekhabi, Gentine, Holtzman, Katul, Liu, Longo, Martinez-Vilalta, McDowell, Meir, Mencuccini, Mrad, Novick, Oliveira, Siqueira, Steele-Dunne, Thompson, Wang, Wehr, Wood, Xu, Zuidema (bb0220) 2021; 27 Talone, Camps, Monerris, Vall-llossera, Ferrazzoli, Piles (bb0480) 2007; 45 Fernandez-Moran, Al-Yaari, Mialon, Mahmoodi, Al Bitar, De Lannoy, Rodriguez-Fernandez, Lopez-Baeza, Kerr, Wigneron (bb0125) 2017; 9 Mladenova, Lakshmi (bb0340) 2009; 47 Brienen, Phillips, Feldpausch, Gloor, Baker, Lloyd, Lopez-Gonzalez, Monteagudo-Mendoza, Malhi, Lewis, Martinez, Alexiades, Davila, Alvarez-Loayza, Andrade, Aragao, Araujo-Murakami, Arets, Arroyo, Aymard, Banki, Baraloto, Barroso, Bonal, Boot, Camargo, Castilho, Chama, Chao, Chave, Comiskey, Valverde, da Costa, de Oliveira, Di Fiore, Erwin, Fauset, Forsthofer, Galbraith, Grahame, Groot, Herault, Higuchi, Coronado, Keeling, Killeen, Laurance, Laurance, Licona, Magnussen, Marimon, Marimon, Mendoza, Neill, Nogueira, Nunez, Camacho, Parada, Pardo-Molina, Peacock, Pena-Claros, Pickavance, Pitman, Poorter, Prieto, Quesada, Ramirez, Ramirez-Angulo, Restrepo, Roopsind, Rudas, Salomao, Schwarz, Silva, Silva-Espejo, Silveira, Stropp, Talbot, ter Steege, Teran-Aguilar, Terborgh, Thomas-Caesar, Toledo, Torello-Raventos, Umetsu, Van der Heijden, Van der Hout, Vieira, Vieira, Vilanova, Vos, Zagt (bb0050) 2015; 519 Broxton, Zeng, Sulla-Menashe, Troch (bb0055) 2014; 53 Moesinger, Dorigo, de Jeu, van der Schalie, Scanlon, Teubner, Forkel (bb0350) 2020; 12 Steele-Dunne, Friesen, van de Giesen (bb0470) 2012; 50 Wigneron, Fan, Ciais, Bastos, Brandt, Chave, Saatchi, Baccini, Fensholt (bb0580) 2020; 6 Konings, Holtzman, Rao, Xu, Saatchi (bb0205) 2021; 48 Figa-Saldana, Wilson, Attema, Gelsthorpe, Drinkwater, Stoffelen (bb0135) 2002; 28 Imaoka, Maeda, Kachi, Kasahara, Ito, Nakagawa (bb0175) 2012 Guan, Pan, Li, Wolf, Wu, Medvigy, Caylor, Sheffield, Wood, Malhi, Liang, Kimball, Saleska, Berry, Joiner, Lyapustin (bb0160) 2015; 8 Tian, Brandt, Liu, Verger, Tagesson, Diouf, Rasmussen, Mbow, Wang, Fensholt (bb0490) 2016; 177 Li, Wu, Ma (bb0255) 2020; 40 Wagner, Hahn, Kidd, Melzer, Bartalis, Hasenauer, Figa-Saldana, de Rosnay, Jann, Schneider, Komma, Kubu, Brugger, Aubrecht, Zuger, Gangkofner, Kienberger, Brocca, Wang, Bloschl, Eitzinger, Steinnocher, Zeil, Rubel (bb0545) 2013; 22 Parrens, Wigneron, Richaume, Mialon, Al Bitar, Fernandez-Moran, Al-Yaari, Kerr (bb0390) 2016; 181 Hansen, Potapov, Moore, Hancher, Turubanova, Tyukavina, Thau, Stehman, Goetz, Loveland, Kommareddy, Egorov, Chini, Justice, Townshend (bb0165) 2013; 342 Li, Wigneron, Frappart, Fan, Ciais, Fensholt, Entekhabi, Brandt, Konings, Liu, Wang, Al-Yaari, Moisy (bb0270) 2021; 253 Richter (bb0430) 1997; 48 Rowlandson, Hornbuckle, Bramer, Patton, Logsdon (bb0440) 2012; 50 Wang, Zhang, Fu (bb0555) 2016; 67 Kurum (bb0230) 2013; 129 Baur, Jagdhuber, Feldman, Chaparro, Piles, Entekhabi (bb0020) 2021; 267 Marengo, Tomasella, Alves, Soares, Rodriguez (bb0320) 2011; 38 Doughty, Metcalfe, Girardin, Farfan Amezquita, Galiano Cabrera, Huaraca Huasco, Silva-Espejo, Araujo-Murakami, da Costa, Rocha, Feldpausch, Mendoza, da Costa, Meir, Phillips, Malhi (bb0075) 2015; 519 Phillips, Aragao, Lewis, Fisher, Lloyd, Lopez-Gonzalez, Malhi, Monteagudo, Peacock, Quesada, van der Heijden, Almeida, Amaral, Arroyo, Aymard, Baker, Banki, Blanc, Bonal, Brando, Chave, Alves de Oliveira, Cardozo, Czimczik, Feldpausch, Freitas, Gloor, Higuchi, Jimenez, Lloyd, Meir, Mendoza, Morel, Neill, Nepstad, Patino, Cristina Penuela, Prieto, Ramirez, Schwarz, Silva, Silveira, Thomas, ter Steege, Stropp, Vasquez, Zelazowski, Alvarez Davila, Andelman, Andrade, Chao, Erwin, Di Fiore, Honorio, Keeling, Killeen, Laurance, Pena Cruz, Pitman, Nunez Vargas, Ramirez-Angulo, Rudas, Salamao, Silva, Terborgh, Torres-Lezama (bb0400) 2009; 323 van Emmerik, Steele-Dunne, Paget, Oliveira, Bittencourt, Barros, van de Giesen (bb0520) 2017; 44 Kurum, Lang, O'Neill, Joseph, Jackson, Cosh (bb0235) 2011; 49 Qin, Xiao, Wigneron, Ciais, Brandt, Fan, Li, Crowell, Wu, Doughty, Zhang, Liu, Sitch, Moore (bb0415) 2021; 11 Monerris, Benedicto, Vall-Ilossera, Camps, Santanach, Piles, Prehn (bb0360) 2008; 113 Schroeder, McDonald, Azarderakhsh, Zimmermann (bb0460) 2016; 177 Owe, de Jeu, Holmes (bb0385) 2008; 113 Li, Wigneron, Fan, Frappart, Yueh, Colliander, Ebtehaj, Gao, Fernandez-Moran, Liu, Wang, Ma, Moisy, Ciais (bb0265) 2022; 271 Nash, Sutcliffe (bb0370) 1970; 10 Wigneron, Parde, Waldteufel, Chanzy, Kerr, Schmidl, Skou (bb0565) 2004; 42 Jackson, Schmugge (bb0180) 1991; 36 Kurum, O'Neill, Lang, Joseph, Cosh, Jackson (bb0240) 2012; 118 Marengo, Souza, Thonicke, Burton, Halladay, Betts, Alves, Soares (bb0315) 2018; 6 Nunes, Camargo, Vincent, Calders, Oliveira, Huete, Mendes de Moura, Nelson, Smith, Stark, Maeda (bb0375) 2022; 13 Li, Al-Yaari, Schwank, Fan, Frappart, Swenson, Wigneron (bb0260) 2020; 236 Konings, Gentine (bb0200) 2017; 23 Boulton, Lenton, Boers (bb0025) 2022; 12 Petchiappan, Steele-Dunne, Vreugdenhil, Hahn, Wagner, Oliveira (bb0395) 2022; 26 Baur, Jagdhuber, Feldman, Akbar, Entekhabi (bb0015) 2019; 233 Santi, Paloscia, Pampaloni, Pettinato, Nomaki, Seki, Sekiya, Maeda (bb0450) 2017; 10 Wu, Johnston (bb0605) 2007; 337 Al-Yaari, Wigneron, Ducharne, Kerr, de Rosnay, de Jeu, Govind, Al Bitar, Albergel, Munoz-Sabater, Richaume, Mialon (bb0005) 2014; 149 Brandt, Yue, Wigneron, Tong, Tian, Jepsen, Xiao, Verger, Mialon, Al-Yaari, Wang, Fensholt (bb0045) 2018; 6 Restrepo-Coupe, da Rocha, Hutyra, da Araujo, Borma, Christoffersen, Cabral, de Camargo, Cardoso, da Costa, Fitzjarrald, Goulden, Kruijt, Maia, Malhi, Manzi, Miller, Nobre, von Randow, Sa, Sakai, Tota, Wofsy, Zanchi, Saleska (bb0425) 2013; 182 Green, Berry, Ciais, Zhang, Gentine (bb0155) 2020; 6 Chen, Ciais, Maignan, Zhang, Bastos, Liu, Bacour, Fan, Gentine, Goll, Green, Kim, Li, Liu, Peng, Tang, Viovy, Wigneron, Wu, Yuan, Zhang (bb0060) 2021; 35 Wu, Albert, Lopes, Restrepo-Coupe, Hayek, Wiedemann, Guan, Stark, Christoffersen, Prohaska, Tavares, Marostica, Kobayashi, Ferreira, Campos, da Silva, Brando, Dye, Huxman, Huete, Nelson, Saleska (bb0600) 2016; 351 Fan, Miguez-Macho, Jobbagy, Jackson, Otero-Casal (bb0100) 2017; 114 Wigneron, Jackson, O'Neill, De Lannoy, de Rosnay, Walker, Ferrazzoli, Mironov, Bircher, Grant, Kurum, Schwank, Munoz-Sabater, Das, Royer, Al-Yaari, Al Bitar, Fernandez-Moran, Lawrence, Mialon, Parrens, Richaume, Delwart, Kerr (bb0585) 2017; 192 Lievens, Martens, Verhoest, Hahn, Reichle, Miralles (bb0285) 2017; 189 Feldman, Akbar, Entekhabi (bb0110) 2018; 219 Ferrazzoli, Guerriero, Wigneron (bb0130) 2002; 40 Vreugdenhil, Dorigo, Wagner, de Jeu, Hahn, van Marle (bb0535) 2016; 54 Wigneron, Li, Frappart, Fan, Al-Yaari, De Lannoy, Liu, Wang, Le Masson, Moisy (bb0590) 2021; 254 Tong, Tian, Brandt, Liu, Zhang, Fensholt (bb0500) 2019; 232 Fan, Wigneron, Ciais, Chave, Brandt, Fensholt, Saatchi, Bastos, Al-Yaari, Hufkens, Qin, Xiao, Chen, Myneni, Fernandez-Moran, Mialon, Rodriguez-Fernandez, Kerr, Tian, Penuelas (bb0095) 2019; 5 Prigent, Jimenez, Dinh, Frappart, Gentine, Wigneron, Munchak (bb0410) 2022; 127 Ciemer, Boers, Hirota, Kurths, Muller-Hansen, Oliveira, Winkelmann (bb0065) 2019; 12 Liu, Yang, Gong, Su, Huang, Chen (bb0295) 2021; 13 Brandt, Wigneron, Chave, Tagesson, Penuelas, Ciais, Rasmussen, Tian, Mbow, Al-Yaari, Rodriguez-Fernandez, Schurgers, Zhang, Chang, Kerr, Verger, Tucker, Mialon, Rasmussen, Fan, Fensholt (bb0040) 2018; 2 Tian, Wigneron, Ciais, Chave, Ogee, Penuelas, Raebild, Domec, Tong, Brandt, Mialon, Rodriguez-Fernandez, Tagesson, Al-Yaari, Kerr, Chen, Myneni, Zhang, Ardo, Fensholt (bb0495) 2018; 2 Liu, Wigneron, Fan, Frappart, Ciais, Baghdadi, Zribi, Jagdhuber, Li, Wang, Bai, Moisy (bb0300) 2021; 264 Grant, Wigneron, De Jeu, Lawrence, Mialon, Richaume, Al Bitar, Drusch, van Marle, Kerr (bb0150) 2016; 172 Zhang, Chen (10.1016/j.rse.2022.113409_bb0060) 2021; 35 Li (10.1016/j.rse.2022.113409_bb0260) 2020; 236 Kurum (10.1016/j.rse.2022.113409_bb0230) 2013; 129 Kurum (10.1016/j.rse.2022.113409_bb0240) 2012; 118 Fan (10.1016/j.rse.2022.113409_bb0100) 2017; 114 Qin (10.1016/j.rse.2022.113409_bb0415) 2021; 11 Green (10.1016/j.rse.2022.113409_bb0155) 2020; 6 Rao (10.1016/j.rse.2022.113409_bb0420) 2019; 227 Schwank (10.1016/j.rse.2022.113409_bb0465) 2018; 10 Guan (10.1016/j.rse.2022.113409_bb0160) 2015; 8 Phillips (10.1016/j.rse.2022.113409_bb0400) 2009; 323 Tian (10.1016/j.rse.2022.113409_bb0495) 2018; 2 Nash (10.1016/j.rse.2022.113409_bb0370) 1970; 10 Xu (10.1016/j.rse.2022.113409_bb0610) 2021; 231 Brando (10.1016/j.rse.2022.113409_bb0035) 2010; 107 Hansen (10.1016/j.rse.2022.113409_bb0165) 2013; 342 Fan (10.1016/j.rse.2022.113409_bb0095) 2019; 5 Ferrazzoli (10.1016/j.rse.2022.113409_bb0130) 2002; 40 Li (10.1016/j.rse.2022.113409_bb0255) 2020; 40 Mladenova (10.1016/j.rse.2022.113409_bb0340) 2009; 47 Santos (10.1016/j.rse.2022.113409_bb0455) 2014 Wang (10.1016/j.rse.2022.113409_bb0550) 2010; 24 Wigneron (10.1016/j.rse.2022.113409_bb0565) 2004; 42 Tian (10.1016/j.rse.2022.113409_bb0490) 2016; 177 Marengo (10.1016/j.rse.2022.113409_bb0315) 2018; 6 Moesinger (10.1016/j.rse.2022.113409_bb0350) 2020; 12 Petchiappan (10.1016/j.rse.2022.113409_bb0395) 2022; 26 Liu (10.1016/j.rse.2022.113409_bb0295) 2021; 13 Tong (10.1016/j.rse.2022.113409_bb0500) 2019; 232 Danielson (10.1016/j.rse.2022.113409_bib2022120714153) 2011 Owe (10.1016/j.rse.2022.113409_bb0385) 2008; 113 Li (10.1016/j.rse.2022.113409_bb0275) 2022; 282 Momen (10.1016/j.rse.2022.113409_bb0355) 2017; 122 Markham (10.1016/j.rse.2022.113409_bb0325) 1970; 60 Broxton (10.1016/j.rse.2022.113409_bb0055) 2014; 53 Fernandez-Moran (10.1016/j.rse.2022.113409_bb0125) 2017; 9 Wigneron (10.1016/j.rse.2022.113409_bb0595) 2000; 73 Vreugdenhil (10.1016/j.rse.2022.113409_bb0540) 2017; 10 Wigneron (10.1016/j.rse.2022.113409_bb0590) 2021; 254 Prigent (10.1016/j.rse.2022.113409_bb0410) 2022; 127 El Hajj (10.1016/j.rse.2022.113409_bb0090) 2019; 11 Figa-Saldana (10.1016/j.rse.2022.113409_bb0135) 2002; 28 Saleska (10.1016/j.rse.2022.113409_bb0445) 2016; 531 van Emmerik (10.1016/j.rse.2022.113409_bb0520) 2017; 44 Al-Yaari (10.1016/j.rse.2022.113409_bb0005) 2014; 149 Doughty (10.1016/j.rse.2022.113409_bb0080) 2019; 116 Wigneron (10.1016/j.rse.2022.113409_bb0585) 2017; 192 Wigneron (10.1016/j.rse.2022.113409_bb0575) 1995; 51 Doughty (10.1016/j.rse.2022.113409_bb0075) 2015; 519 Karthikeyan (10.1016/j.rse.2022.113409_bb0190) 2019; 234 Rowlandson (10.1016/j.rse.2022.113409_bb0440) 2012; 50 Feldman (10.1016/j.rse.2022.113409_bb0110) 2018; 219 Li (10.1016/j.rse.2022.113409_bb0270) 2021; 253 Vreugdenhil (10.1016/j.rse.2022.113409_bb0535) 2016; 54 Feldman (10.1016/j.rse.2022.113409_bb0120) 2018; 4 Konings (10.1016/j.rse.2022.113409_bb0200) 2017; 23 Oliveira (10.1016/j.rse.2022.113409_bb0380) 2005; 145 Fassoni-Andrade (10.1016/j.rse.2022.113409_bb0105) 2021; 59 Ciemer (10.1016/j.rse.2022.113409_bb0065) 2019; 12 Santi (10.1016/j.rse.2022.113409_bb0450) 2017; 10 Zhang (10.1016/j.rse.2022.113409_bb0630) 2019; 234 Monerris (10.1016/j.rse.2022.113409_bb0360) 2008; 113 Baur (10.1016/j.rse.2022.113409_bb0020) 2021; 267 Kim (10.1016/j.rse.2022.113409_bb0195) 2015; 161 Liu (10.1016/j.rse.2022.113409_bb0300) 2021; 264 Du (10.1016/j.rse.2022.113409_bb0085) 2017; 9 Xu (10.1016/j.rse.2022.113409_bb0615) 2016; 212 Baur (10.1016/j.rse.2022.113409_bb0015) 2019; 233 Schroeder (10.1016/j.rse.2022.113409_bb0460) 2016; 177 Brando (10.1016/j.rse.2022.113409_bb0030) 2014; 111 Wu (10.1016/j.rse.2022.113409_bb0600) 2016; 351 Jackson (10.1016/j.rse.2022.113409_bb0180) 1991; 36 Konings (10.1016/j.rse.2022.113409_bb0215) 2019; 223 Trondoli Matricardi (10.1016/j.rse.2022.113409_bb0505) 2020; 369 Ma (10.1016/j.rse.2022.113409_bb0305) 2019; 231 Konings (10.1016/j.rse.2022.113409_bb0220) 2021; 27 Barlow (10.1016/j.rse.2022.113409_bb0010) 2016; 535 Grant (10.1016/j.rse.2022.113409_bb0150) 2016; 172 van Emmerik (10.1016/j.rse.2022.113409_bb0525) 2015; 53 Girardin (10.1016/j.rse.2022.113409_bb0145) 2016; 30 Lievens (10.1016/j.rse.2022.113409_bb0285) 2017; 189 Li (10.1016/j.rse.2022.113409_bb0265) 2022; 271 Steele-Dunne (10.1016/j.rse.2022.113409_bb0470) 2012; 50 Brienen (10.1016/j.rse.2022.113409_bb0050) 2015; 519 Wang (10.1016/j.rse.2022.113409_bb0555) 2016; 67 Liu (10.1016/j.rse.2022.113409_bb0290) 2021; 28 Meinzer (10.1016/j.rse.2022.113409_bb0335) 2003; 26 Nunes (10.1016/j.rse.2022.113409_bb0375) 2022; 13 Steele-Dunne (10.1016/j.rse.2022.113409_bb0475) 2017; 10 Lenton (10.1016/j.rse.2022.113409_bb0250) 2008; 105 Lee (10.1016/j.rse.2022.113409_bb0245) 2019; 568 Powell (10.1016/j.rse.2022.113409_bb0405) 2018; 219 Marengo (10.1016/j.rse.2022.113409_bb0320) 2011; 38 Boulton (10.1016/j.rse.2022.113409_bb0025) 2022; 12 Mo (10.1016/j.rse.2022.113409_bb0345) 1982; 87 Talone (10.1016/j.rse.2022.113409_bb0480) 2007; 45 Frappart (10.1016/j.rse.2022.113409_bb0140) 2020; 12 Konings (10.1016/j.rse.2022.113409_bb0210) 2016; 172 Konings (10.1016/j.rse.2022.113409_bb0225) 2017; 44 Ulaby (10.1016/j.rse.2022.113409_bb0515) 1978; 16 Richter (10.1016/j.rse.2022.113409_bb0430) 1997; 48 Kurum (10.1016/j.rse.2022.113409_bb0235) 2011; 49 Meesters (10.1016/j.rse.2022.113409_bb0330) 2005; 2 Wu (10.1016/j.rse.2022.113409_bb0605) 2007; 337 Yao (10.1016/j.rse.2022.113409_bb0620) 2022 Zhang (10.1016/j.rse.2022.113409_bb0625) 2018; 15 Imaoka (10.1016/j.rse.2022.113409_bb0175) 2012 Wigneron (10.1016/j.rse.2022.113409_bb0580) 2020; 6 Nagasuga (10.1016/j.rse.2022.113409_bb0365) 2004; 49 Wang (10.1016/j.rse.2022.113409_bb0560) 2021; 263 Tyree (10.1016/j.rse.2022.113409_bb0510) 1989; 40 Brandt (10.1016/j.rse.2022.113409_bb0040) 2018; 2 Jones (10.1016/j.rse.2022.113409_bb0185) 2011; 115 Konings (10.1016/j.rse.2022.113409_bb0205) 2021; 48 Restrepo-Coupe (10.1016/j.rse.2022.113409_bb0425) 2013; 182 Wagner (10.1016/j.rse.2022.113409_bb0545) 2013; 22 Hornbuckle (10.1016/j.rse.2022.113409_bb0170) 2006; 138 Ma (10.1016/j.rse.2022.113409_bb0310) 2021; 264 Feldman (10.1016/j.rse.2022.113409_bb0115) 2021; 14 Parrens (10.1016/j.rse.2022.113409_bb0390) 2016; 181 Wigneron (10.1016/j.rse.2022.113409_bb0570) 1993; 31 Brandt (10.1016/j.rse.2022.113409_bb0045) 2018; 6 |
| References_xml | – volume: 105 start-page: 1786 year: 2008 end-page: 1793 ident: bb0250 article-title: Tipping elements in the Earth’s climate system. publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 9 start-page: 457 year: 2017 ident: bb0125 article-title: SMOS-IC: an alternative SMOS soil moisture and vegetation optical depth product publication-title: Remote Sens. – volume: 118 start-page: 1 year: 2012 end-page: 9 ident: bb0240 article-title: Effective tree scattering and opacity at L-band publication-title: Remote Sens. Environ. – volume: 531 start-page: E4 year: 2016 end-page: E5 ident: bb0445 article-title: Dry-season greening of Amazon forests publication-title: Nature – volume: 267 year: 2021 ident: bb0020 article-title: Time-variations of zeroth-order vegetation absorption and scattering at L-band publication-title: Remote Sens. Environ. – volume: 27 start-page: 6005 year: 2021 end-page: 6024 ident: bb0220 article-title: Detecting forest response to droughts with global observations of vegetation water content publication-title: Glob. Chang. Biol. – volume: 111 start-page: 6347 year: 2014 end-page: 6352 ident: bb0030 article-title: Abrupt increases in Amazonian tree mortality due to drought-fire interactions publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 6 start-page: eaay4603 year: 2020 ident: bb0580 article-title: Tropical forests did not recover from the strong 2015–2016 El Nino event publication-title: Sci.Adv. – volume: 113 start-page: F01002 year: 2008 ident: bb0385 article-title: Multisensor historical climatology of satellite-derived global land surface moisture publication-title: J. Geophys. Res. Earth Surf. – volume: 50 start-page: 2618 year: 2012 end-page: 2629 ident: bb0470 article-title: Using diurnal variation in backscatter to detect vegetation water stress publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 2 start-page: 827 year: 2018 end-page: 835 ident: bb0040 article-title: Satellite passive microwaves reveal recent climate-induced carbon losses in african drylands publication-title: Nat. Ecol. Evol. – volume: 177 start-page: 153 year: 2016 end-page: 159 ident: bb0460 article-title: ASCAT MetOp-A diurnal backscatter observations of recent vegetation drought patterns over the contiguous US: an assessment of spatial extent and relationship with precipitation and crop yield publication-title: Remote Sens. Environ. – volume: 11 start-page: 2769 year: 2019 ident: bb0090 article-title: First vegetation optical depth mapping from Sentinel-1 C-band SAR data over crop fields publication-title: Remote Sens. – volume: 12 start-page: 271 year: 2022 end-page: 278 ident: bb0025 article-title: Pronounced loss of Amazon rainforest resilience since the early 2000s publication-title: Nat. Clim. Chang. – volume: 161 start-page: 43 year: 2015 end-page: 62 ident: bb0195 article-title: A global comparison of alternate AMSR2 soil moisture products: why do they differ? publication-title: Remote Sens. Environ. – volume: 138 start-page: 180 year: 2006 end-page: 191 ident: bb0170 article-title: The effect of free water in a maize canopy on microwave emission at 1.4 GHz publication-title: Agric. For. Meteorol. – volume: 115 start-page: 1102 year: 2011 end-page: 1114 ident: bb0185 article-title: Satellite passive microwave remote sensing for monitoring global land surface phenology publication-title: Remote Sens. Environ. – volume: 6 start-page: 228 year: 2018 ident: bb0315 article-title: Changes in climate and land use over the Amazon region: current and future variability and trends publication-title: Front. Earth Sci. – volume: 253 year: 2021 ident: bb0270 article-title: Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products publication-title: Remote Sens. Environ. – volume: 28 start-page: 1583 year: 2021 end-page: 1595 ident: bb0290 article-title: Tropical tall forests are more sensitive and vulnerable to drought than short forests publication-title: Glob. Chang. Biol. – volume: 45 start-page: 1996 year: 2007 end-page: 2003 ident: bb0480 article-title: Surface topography and mixed-pixel effects on the simulated L- publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 23 start-page: 891 year: 2017 end-page: 905 ident: bb0200 article-title: Global variations in ecosystem-scale isohydricity publication-title: Glob. Chang. Biol. – volume: 2 start-page: 1428 year: 2018 end-page: 1435 ident: bb0495 article-title: Coupling of ecosystem-scale plant water storage and leaf phenology observed by satellite publication-title: Nat. Ecol. Evol. – volume: 342 start-page: 850 year: 2013 end-page: 853 ident: bb0165 article-title: High-resolution global maps of 21st-century forest cover change publication-title: Science – volume: 13 start-page: 917 year: 2022 ident: bb0375 article-title: Forest fragmentation impacts the seasonality of Amazonian evergreen canopies publication-title: Nat. Commun. – volume: 48 start-page: 306 year: 1997 ident: bb0430 article-title: Water relations of plants in the field: some comments on the measurement of selected parameters publication-title: J. Exp. Bot. – volume: 8 start-page: 284 year: 2015 end-page: 289 ident: bb0160 article-title: Photosynthetic seasonality of global tropical forests constrained by hydroclimate publication-title: Nat. Geosci. – volume: 47 start-page: 2722 year: 2009 end-page: 2732 ident: bb0340 article-title: Terrain: slope influence on QuikSCAT backscatter publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 145 start-page: 354 year: 2005 end-page: 363 ident: bb0380 article-title: Hydraulic redistribution in three Amazonian trees publication-title: Oecologia – volume: 129 start-page: 66 year: 2013 end-page: 74 ident: bb0230 article-title: Quantifying scattering albedo in microwave emission of vegetated terrain publication-title: Remote Sens. Environ. – volume: 40 start-page: 5744 year: 2020 end-page: 5766 ident: bb0255 article-title: A comprehensive evaluation of soil moisture and soil temperature from third-generation atmospheric and land reanalysis data sets publication-title: Int. J. Climatol. – volume: 60 start-page: 593 year: 1970 end-page: 597 ident: bb0325 article-title: Seasonality of precipitation in the United States publication-title: Ann. Assoc. Am. Geogr. – volume: 53 start-page: 3855 year: 2015 end-page: 3869 ident: bb0525 article-title: Impact of diurnal variation in vegetation water content on radar backscatter from maize during water stress publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 40 start-page: 19 year: 1989 end-page: 38 ident: bb0510 article-title: Vulnerability of xylem to cavitation and embolism publication-title: Annu. Rev. Plant Physiol. Plant Mol. Biol. – volume: 219 start-page: 932 year: 2018 end-page: 946 ident: bb0405 article-title: Variation in hydroclimate sustains tropical forest biomass and promotes functional diversity publication-title: New Phytol. – volume: 254 year: 2021 ident: bb0590 article-title: SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives publication-title: Remote Sens. Environ. – volume: 73 start-page: 270 year: 2000 end-page: 282 ident: bb0595 article-title: Two-dimensional microwave interferometer retrieval capabilities over land surfaces (SMOS Mission) publication-title: Remote Sens. Environ. – volume: 113 start-page: B12202 year: 2008 ident: bb0360 article-title: Assessment of the topography impact on microwave radiometry at L-band publication-title: J. Geophys. Res.Solid Earth – volume: 14 start-page: 11311 year: 2021 end-page: 11323 ident: bb0115 article-title: Error propagation in microwave soil moisture and vegetation optical depth retrievals publication-title: IEEE J. Select.Top. Appl. Earth Observ. Remote Sens. – volume: 6 year: 2020 ident: bb0155 article-title: Amazon rainforest photosynthesis increases in response to atmospheric dryness publication-title: Sci. Adv. – year: 2014 ident: bb0455 article-title: Determining aboveground biomass of the forest successional chronosequence in a test- site of Brazilian Amazon through X- and L- band data analysis publication-title: 2nd International Conference on Remote Sensing and Geoinformation of the Environment (RSCy). Paphos, CYPRUS – volume: 31 start-page: 716 year: 1993 end-page: 726 ident: bb0570 article-title: Microwave emission of vegetation: sensitivity to leaf characteristics publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 53 start-page: 1593 year: 2014 end-page: 1605 ident: bb0055 article-title: A global land cover climatology using MODIS data publication-title: J. Appl. Meteorol. Climatol. – volume: 10 start-page: 3861 year: 2017 end-page: 3873 ident: bb0450 article-title: Vegetation water content retrieval by means of multifrequency microwave acquisitions from AMSR2 publication-title: Ieee J. Select. Top. Appl. Earth Observ. Remote Sens. – volume: 172 start-page: 178 year: 2016 end-page: 189 ident: bb0210 article-title: Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations publication-title: Remote Sens. Environ. – volume: 369 start-page: 1378 year: 2020 end-page: 1382 ident: bb0505 article-title: Long-term forest degradation surpasses deforestation in the Brazilian Amazon publication-title: Science – volume: 42 start-page: 416 year: 2004 end-page: 425 ident: bb0565 article-title: Characterizing the dependence of vegetation model parameters on crop structure, incidence angle, and polarization at L-band publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 38 start-page: L12703 year: 2011 ident: bb0320 article-title: The drought of 2010 in the context of historical droughts in the Amazon region publication-title: Geophys. Res. Lett. – volume: 24 start-page: 107 year: 2010 end-page: 127 ident: bb0550 article-title: Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China publication-title: Int. J. Geogr. Inf. Sci. – volume: 59 year: 2021 ident: bb0105 article-title: Amazon hydrology from space: scientific advances and future challenges publication-title: Rev. Geophys. – volume: 13 start-page: 339 year: 2021 ident: bb0295 article-title: The novel microwave temperature vegetation drought index (MTVDI) captures canopy seasonality across Amazonian tropical evergreen forests publication-title: Remote Sens. – volume: 114 start-page: 10572 year: 2017 end-page: 10577 ident: bb0100 article-title: Hydrologic regulation of plant rooting depth publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 11 start-page: 442 year: 2021 end-page: 448 ident: bb0415 article-title: Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon publication-title: Nat. Clim. Chang. – volume: 192 start-page: 238 year: 2017 end-page: 262 ident: bb0585 article-title: Modelling the passive microwave signature from land surfaces: a review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms publication-title: Remote Sens. Environ. – volume: 264 year: 2021 ident: bb0310 article-title: Evaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations publication-title: Remote Sens. Environ. – volume: 26 start-page: 1147 year: 2003 end-page: 1155 ident: bb0335 article-title: Whole-tree water transport scales with sapwood capacitance in tropical forest canopy trees publication-title: Plant Cell Environ. – volume: 12 start-page: 174 year: 2019 end-page: 179 ident: bb0065 article-title: Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall publication-title: Nat. Geosci. – volume: 568 start-page: 676 year: 2019 end-page: 685 ident: bb0245 article-title: Seasonal and spatial characterization of soil moisture and soil water tension in a steep hillslope publication-title: J. Hydrol. – volume: 271 year: 2022 ident: bb0265 article-title: A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): algorithm, assessment and inter-comparison publication-title: Remote Sens. Environ. – volume: 231 year: 2019 ident: bb0305 article-title: Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: a comprehensive assessment using global ground-based observations publication-title: Remote Sens. Environ. – volume: 10 start-page: 2249 year: 2017 end-page: 2273 ident: bb0475 article-title: Radar remote sensing of agricultural canopies: a review publication-title: Ieee J. Select.Top. Appl.Earth Observ.Remote Sens. – volume: 116 start-page: 22393 year: 2019 end-page: 22398 ident: bb0080 article-title: TROPOMI reveals dry-season increase of solar-induced chlorophyll fluorescence in the Amazon forest publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 263 year: 2021 ident: bb0560 article-title: An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales publication-title: Remote Sens. Environ. – volume: 48 year: 2021 ident: bb0205 article-title: Interannual variations of vegetation optical depth are due to both water stress and biomass changes publication-title: Geophys. Res. Lett. – volume: 49 start-page: 3167 year: 2011 end-page: 3179 ident: bb0235 article-title: A first-order radiative transfer model for microwave radiometry of forest canopies at L-band publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 264 year: 2021 ident: bb0300 article-title: ASCAT IB: a radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite publication-title: Remote Sens. Environ. – volume: 15 start-page: 5779 year: 2018 end-page: 5800 ident: bb0625 article-title: A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks publication-title: Biogeosciences – volume: 44 start-page: 2290 year: 2017 end-page: 2299 ident: bb0225 article-title: Active microwave observations of diurnal and seasonal variations of canopy water content across the humid African tropical forests publication-title: Geophys. Res. Lett. – volume: 10 start-page: 282 year: 1970 end-page: 290 ident: bb0370 article-title: River flow forecasting through conceptual models part I — a discussion of principles publication-title: J. Hydrol. – volume: 40 start-page: 2700 year: 2002 end-page: 2708 ident: bb0130 article-title: Simulating L-band emission of forests in view of future satellite applications publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 323 start-page: 1344 year: 2009 end-page: 1347 ident: bb0400 article-title: Drought sensitivity of the Amazon rainforest publication-title: Science – volume: 149 start-page: 181 year: 2014 end-page: 195 ident: bb0005 article-title: Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to land data assimilation system estimates publication-title: Remote Sens. Environ. – volume: 182 start-page: 128 year: 2013 end-page: 144 ident: bb0425 article-title: What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network publication-title: Agric. For. Meteorol. – volume: 12 start-page: 2915 year: 2020 ident: bb0140 article-title: Global monitoring of the vegetation dynamics from the vegetation optical depth (VOD): a review publication-title: Remote Sens. – volume: 36 start-page: 203 year: 1991 end-page: 212 ident: bb0180 article-title: Vegetation effects on the microwave emission of soils publication-title: Remote Sens. Environ. – volume: 30 start-page: 700 year: 2016 end-page: 715 ident: bb0145 article-title: Seasonal trends of Amazonian rainforest phenology, net primary productivity, and carbon allocation publication-title: Glob. Biogeochem. Cycles – volume: 10 start-page: 2240 year: 2017 end-page: 2248 ident: bb0540 article-title: Assessing vegetation dynamics over Mainland Australia with Metop ASCAT publication-title: IEEE J. Select.Top.Appl.Earth Observ.Remote Sens. – volume: 26 start-page: 2997 year: 2022 end-page: 3019 ident: bb0395 article-title: The influence of vegetation water dynamics on the ASCAT backscatter-incidence angle relationship in the Amazon publication-title: Hydrol. Earth Syst. Sci. – volume: 51 start-page: 331 year: 1995 end-page: 341 ident: bb0575 article-title: A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields publication-title: Remote Sens. Environ. – volume: 234 year: 2019 ident: bb0630 article-title: Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events? publication-title: Remote Sens. Environ. – volume: 177 start-page: 265 year: 2016 end-page: 276 ident: bb0490 article-title: Remote sensing of vegetation dynamics in drylands: evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel publication-title: Remote Sens. Environ. – volume: 212 start-page: 80 year: 2016 end-page: 95 ident: bb0615 article-title: Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests publication-title: New Phytol. – year: 2022 ident: bb0620 article-title: Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA, r7236) and evaluation at the Caxiuanã drought experiment – volume: 6 start-page: 1017 year: 2018 end-page: 1028 ident: bb0045 article-title: Satellite-observed major greening and biomass increase in South China karst during recent decade publication-title: Earths Future – volume: 127 year: 2022 ident: bb0410 article-title: Diurnal and seasonal variations of passive and active microwave satellite observations over tropical forests publication-title: J. Geophys. Res. Biogeosci. – volume: 233 year: 2019 ident: bb0015 article-title: Estimation of relative canopy absorption and scattering at L-, C- and X-bands publication-title: Remote Sens. Environ. – volume: 231 start-page: 122 year: 2021 end-page: 136 ident: bb0610 article-title: Leaf surface water, not plant water stress, drives diurnal variation in tropical forest canopy water content publication-title: New Phytol. – volume: 234 year: 2019 ident: bb0190 article-title: Simultaneous retrieval of global scale vegetation optical depth, surface roughness, and soil moisture using X-band AMSR-E observations publication-title: Remote Sens. Environ. – volume: 351 start-page: 972 year: 2016 end-page: 976 ident: bb0600 article-title: Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests publication-title: Science – volume: 9 start-page: 791 year: 2017 end-page: 808 ident: bb0085 article-title: A global satellite environmental data record derived from AMSR-E and AMSR2 microwave earth observations publication-title: Earth Syst. Sci. Data – volume: 282 year: 2022 ident: bb0275 article-title: The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations publication-title: Remote Sens. Environ. – volume: 337 start-page: 187 year: 2007 end-page: 199 ident: bb0605 article-title: Hydrologic response to climatic variability in a Great Lakes Watershed: a case study with the SWAT model publication-title: J. Hydrol. – volume: 67 start-page: 250 year: 2016 end-page: 256 ident: bb0555 article-title: A measure of spatial stratified heterogeneity publication-title: Ecol. Indic. – volume: 87 start-page: 1229 year: 1982 end-page: 1237 ident: bb0345 article-title: A model for microwave emission from vegetation-covered fields publication-title: J. Geophys. Res. Oceans – volume: 5 start-page: 944 year: 2019 end-page: 951 ident: bb0095 article-title: Satellite-observed pantropical carbon dynamics publication-title: Nat. Plants – volume: 519 start-page: 78 year: 2015 end-page: U140 ident: bb0075 article-title: Drought impact on forest carbon dynamics and fluxes in Amazonia publication-title: Nature – volume: 10 start-page: 1868 year: 2018 ident: bb0465 article-title: “Tau-Omega”- and Two-Stream emission models used for passive L-Band retrievals: application to close-range measurements over a forest publication-title: Remote Sens. – volume: 35 start-page: 1 year: 2021 end-page: 15 ident: bb0060 article-title: Vapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across amazonian evergreen broadleaved forest publication-title: Glob. Biogeochem. Cycles – volume: 227 start-page: 125 year: 2019 end-page: 136 ident: bb0420 article-title: Satellite-based vegetation optical depth as an indicator of drought-driven tree mortality publication-title: Remote Sens. Environ. – volume: 4 start-page: 1026 year: 2018 end-page: 1033 ident: bb0120 article-title: Moisture pulse-reserve in the soil-plant continuum observed across biomes publication-title: Nat. Plants – volume: 54 start-page: 3513 year: 2016 end-page: 3531 ident: bb0535 article-title: Analyzing the vegetation parameterization in the TU-Wien ASCAT soil moisture retrieval publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 44 start-page: 6841 year: 2017 end-page: 6849 ident: bb0520 article-title: Water stress detection in the Amazon using radar publication-title: Geophys. Res. Lett. – volume: 22 start-page: 5 year: 2013 end-page: 33 ident: bb0545 article-title: The ASCAT soil moisture product: a review of its specifications, validation results, and publication-title: Meteorol. Z. – volume: 236 year: 2020 ident: bb0260 article-title: Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on tau-omega and two-stream microwave emission models publication-title: Remote Sens. Environ. – volume: 232 year: 2019 ident: bb0500 article-title: Trends of land surface phenology derived from passive microwave and optical remote sensing systems and associated drivers across the dry tropics 1992–2012 publication-title: Remote Sens. Environ. – volume: 189 start-page: 194 year: 2017 end-page: 210 ident: bb0285 article-title: Assimilation of global radar backscatter and radiometer brightness temperature observations to improve soil moisture and land evaporation estimates publication-title: Remote Sens. Environ. – volume: 16 start-page: 286 year: 1978 end-page: 295 ident: bb0515 article-title: Microwave backscatter dependence on surface roughness, soil moisture, and soil texture: Part I-Bare soil publication-title: IEEE Trans. Geosci. Electron. – volume: 107 start-page: 14685 year: 2010 end-page: 14690 ident: bb0035 article-title: Seasonal and interannual variability of climate and vegetation indices across the Amazon publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 519 start-page: 344 year: 2015 end-page: 348 ident: bb0050 article-title: Long-term decline of the Amazon carbon sink publication-title: Nature – year: 2012 ident: bb0175 article-title: Status of AMSR2 instrument on GCOM-W1 publication-title: Conference on Earth Observing Missions and Sensors - Development, Implementation, and Characterization II. Kyoto, JAPAN – volume: 172 start-page: 87 year: 2016 end-page: 100 ident: bb0150 article-title: Comparison of SMOS and AMSR-E vegetation optical depth to four MODIS-based vegetation indices publication-title: Remote Sens. Environ. – volume: 122 start-page: 3031 year: 2017 end-page: 3046 ident: bb0355 article-title: Interacting effects of leaf water potential and biomass on vegetation optical depth publication-title: J. Geophys. Res.Biogeosci. – volume: 2 start-page: 121 year: 2005 end-page: 123 ident: bb0330 article-title: Analytical derivation of the vegetation optical depth from the microwave polarization difference index publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 181 start-page: 122 year: 2016 end-page: 136 ident: bb0390 article-title: Global-scale surface roughness effects at L-band as estimated from SMOS observations publication-title: Remote Sens. Environ. – volume: 219 start-page: 324 year: 2018 end-page: 338 ident: bb0110 article-title: Characterization of higher-order scattering from vegetation with SMAP measurements publication-title: Remote Sens. Environ. – volume: 223 start-page: 1166 year: 2019 end-page: 1172 ident: bb0215 article-title: Macro to micro: microwave remote sensing of plant water content for physiology and ecology publication-title: New Phytol – volume: 49 start-page: 263 year: 2004 end-page: 271 ident: bb0365 article-title: Dynamic of water transport in napiergrass (Pennisetum purpureum Schumach) plant - relationship between water transport regulation and water storage capacity in the diurnal water balance publication-title: J. Faculty Agric. Kyushu Univ. – volume: 50 start-page: 1544 year: 2012 end-page: 1555 ident: bb0440 article-title: Comparisons of evening and morning SMOS passes over the midwest United States publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 535 start-page: 144 year: 2016 end-page: 147 ident: bb0010 article-title: Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation publication-title: Nature – volume: 12 start-page: 177 year: 2020 end-page: 196 ident: bb0350 article-title: The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA) publication-title: Earth Syst. Sci. Data – volume: 28 start-page: 404 year: 2002 end-page: 412 ident: bb0135 article-title: The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: a follow on for european wind scatterometers publication-title: Can. J. Remote. Sens. – year: 2011 ident: bib2022120714153 publication-title: Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) – volume: 138 start-page: 180 year: 2006 ident: 10.1016/j.rse.2022.113409_bb0170 article-title: The effect of free water in a maize canopy on microwave emission at 1.4 GHz publication-title: Agric. For. Meteorol. doi: 10.1016/j.agrformet.2006.05.003 – volume: 87 start-page: 1229 year: 1982 ident: 10.1016/j.rse.2022.113409_bb0345 article-title: A model for microwave emission from vegetation-covered fields publication-title: J. Geophys. Res. Oceans doi: 10.1029/JC087iC13p11229 – volume: 8 start-page: 284 year: 2015 ident: 10.1016/j.rse.2022.113409_bb0160 article-title: Photosynthetic seasonality of global tropical forests constrained by hydroclimate publication-title: Nat. Geosci. doi: 10.1038/ngeo2382 – volume: 172 start-page: 178 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0210 article-title: Vegetation optical depth and scattering albedo retrieval using time series of dual-polarized L-band radiometer observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.11.009 – volume: 264 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0310 article-title: Evaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2021.112605 – volume: 232 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0500 article-title: Trends of land surface phenology derived from passive microwave and optical remote sensing systems and associated drivers across the dry tropics 1992–2012 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111307 – volume: 182 start-page: 128 year: 2013 ident: 10.1016/j.rse.2022.113409_bb0425 article-title: What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network publication-title: Agric. For. Meteorol. doi: 10.1016/j.agrformet.2013.04.031 – volume: 27 start-page: 6005 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0220 article-title: Detecting forest response to droughts with global observations of vegetation water content publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.15872 – volume: 40 start-page: 19 year: 1989 ident: 10.1016/j.rse.2022.113409_bb0510 article-title: Vulnerability of xylem to cavitation and embolism publication-title: Annu. Rev. Plant Physiol. Plant Mol. Biol. doi: 10.1146/annurev.pp.40.060189.000315 – year: 2014 ident: 10.1016/j.rse.2022.113409_bb0455 article-title: Determining aboveground biomass of the forest successional chronosequence in a test- site of Brazilian Amazon through X- and L- band data analysis – volume: 231 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0305 article-title: Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: a comprehensive assessment using global ground-based observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111215 – volume: 2 start-page: 1428 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0495 article-title: Coupling of ecosystem-scale plant water storage and leaf phenology observed by satellite publication-title: Nat. Ecol. Evol. doi: 10.1038/s41559-018-0630-3 – volume: 234 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0630 article-title: Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events? publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111451 – volume: 519 start-page: 78 year: 2015 ident: 10.1016/j.rse.2022.113409_bb0075 article-title: Drought impact on forest carbon dynamics and fluxes in Amazonia publication-title: Nature doi: 10.1038/nature14213 – volume: 36 start-page: 203 year: 1991 ident: 10.1016/j.rse.2022.113409_bb0180 article-title: Vegetation effects on the microwave emission of soils publication-title: Remote Sens. Environ. doi: 10.1016/0034-4257(91)90057-D – volume: 40 start-page: 5744 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0255 article-title: A comprehensive evaluation of soil moisture and soil temperature from third-generation atmospheric and land reanalysis data sets publication-title: Int. J. Climatol. doi: 10.1002/joc.6549 – volume: 53 start-page: 1593 year: 2014 ident: 10.1016/j.rse.2022.113409_bb0055 article-title: A global land cover climatology using MODIS data publication-title: J. Appl. Meteorol. Climatol. doi: 10.1175/JAMC-D-13-0270.1 – volume: 181 start-page: 122 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0390 article-title: Global-scale surface roughness effects at L-band as estimated from SMOS observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.04.006 – volume: 6 start-page: 1017 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0045 article-title: Satellite-observed major greening and biomass increase in South China karst during recent decade publication-title: Earths Future doi: 10.1029/2018EF000890 – volume: 219 start-page: 932 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0405 article-title: Variation in hydroclimate sustains tropical forest biomass and promotes functional diversity publication-title: New Phytol. doi: 10.1111/nph.15271 – volume: 59 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0105 article-title: Amazon hydrology from space: scientific advances and future challenges publication-title: Rev. Geophys. doi: 10.1029/2020RG000728 – volume: 12 start-page: 174 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0065 article-title: Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall publication-title: Nat. Geosci. doi: 10.1038/s41561-019-0312-z – volume: 568 start-page: 676 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0245 article-title: Seasonal and spatial characterization of soil moisture and soil water tension in a steep hillslope publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2018.11.027 – volume: 28 start-page: 1583 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0290 article-title: Tropical tall forests are more sensitive and vulnerable to drought than short forests publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.16017 – volume: 192 start-page: 238 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0585 article-title: Modelling the passive microwave signature from land surfaces: a review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2017.01.024 – volume: 267 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0020 article-title: Time-variations of zeroth-order vegetation absorption and scattering at L-band publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2021.112726 – volume: 105 start-page: 1786 year: 2008 ident: 10.1016/j.rse.2022.113409_bb0250 article-title: Tipping elements in the Earth’s climate system. publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.0705414105 – volume: 30 start-page: 700 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0145 article-title: Seasonal trends of Amazonian rainforest phenology, net primary productivity, and carbon allocation publication-title: Glob. Biogeochem. Cycles doi: 10.1002/2015GB005270 – volume: 11 start-page: 442 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0415 article-title: Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon publication-title: Nat. Clim. Chang. doi: 10.1038/s41558-021-01026-5 – volume: 24 start-page: 107 year: 2010 ident: 10.1016/j.rse.2022.113409_bb0550 article-title: Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China publication-title: Int. J. Geogr. Inf. Sci. doi: 10.1080/13658810802443457 – volume: 254 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0590 article-title: SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2020.112238 – volume: 11 start-page: 2769 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0090 article-title: First vegetation optical depth mapping from Sentinel-1 C-band SAR data over crop fields publication-title: Remote Sens. doi: 10.3390/rs11232769 – volume: 35 start-page: 1 issue: 6 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0060 article-title: Vapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across amazonian evergreen broadleaved forest publication-title: Glob. Biogeochem. Cycles doi: 10.1029/2020GB006893 – volume: 6 issue: 47 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0155 article-title: Amazon rainforest photosynthesis increases in response to atmospheric dryness publication-title: Sci. Adv. doi: 10.1126/sciadv.abb7232 – volume: 23 start-page: 891 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0200 article-title: Global variations in ecosystem-scale isohydricity publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.13389 – volume: 6 start-page: 228 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0315 article-title: Changes in climate and land use over the Amazon region: current and future variability and trends publication-title: Front. Earth Sci. doi: 10.3389/feart.2018.00228 – volume: 49 start-page: 263 year: 2004 ident: 10.1016/j.rse.2022.113409_bb0365 article-title: Dynamic of water transport in napiergrass (Pennisetum purpureum Schumach) plant - relationship between water transport regulation and water storage capacity in the diurnal water balance publication-title: J. Faculty Agric. Kyushu Univ. doi: 10.5109/4586 – volume: 10 start-page: 282 year: 1970 ident: 10.1016/j.rse.2022.113409_bb0370 article-title: River flow forecasting through conceptual models part I — a discussion of principles publication-title: J. Hydrol. doi: 10.1016/0022-1694(70)90255-6 – volume: 531 start-page: E4 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0445 article-title: Dry-season greening of Amazon forests publication-title: Nature doi: 10.1038/nature16457 – year: 2011 ident: 10.1016/j.rse.2022.113409_bib2022120714153 – volume: 40 start-page: 2700 year: 2002 ident: 10.1016/j.rse.2022.113409_bb0130 article-title: Simulating L-band emission of forests in view of future satellite applications publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2002.807577 – volume: 351 start-page: 972 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0600 article-title: Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests publication-title: Science doi: 10.1126/science.aad5068 – volume: 15 start-page: 5779 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0625 article-title: A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks publication-title: Biogeosciences doi: 10.5194/bg-15-5779-2018 – volume: 323 start-page: 1344 year: 2009 ident: 10.1016/j.rse.2022.113409_bb0400 article-title: Drought sensitivity of the Amazon rainforest publication-title: Science doi: 10.1126/science.1164033 – volume: 4 start-page: 1026 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0120 article-title: Moisture pulse-reserve in the soil-plant continuum observed across biomes publication-title: Nat. Plants doi: 10.1038/s41477-018-0304-9 – volume: 54 start-page: 3513 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0535 article-title: Analyzing the vegetation parameterization in the TU-Wien ASCAT soil moisture retrieval publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2016.2519842 – volume: 10 start-page: 3861 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0450 article-title: Vegetation water content retrieval by means of multifrequency microwave acquisitions from AMSR2 publication-title: Ieee J. Select. Top. Appl. Earth Observ. Remote Sens. doi: 10.1109/JSTARS.2017.2703629 – volume: 50 start-page: 1544 year: 2012 ident: 10.1016/j.rse.2022.113409_bb0440 article-title: Comparisons of evening and morning SMOS passes over the midwest United States publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2011.2178158 – volume: 535 start-page: 144 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0010 article-title: Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation publication-title: Nature doi: 10.1038/nature18326 – volume: 14 start-page: 11311 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0115 article-title: Error propagation in microwave soil moisture and vegetation optical depth retrievals publication-title: IEEE J. Select.Top. Appl. Earth Observ. Remote Sens. doi: 10.1109/JSTARS.2021.3124857 – volume: 342 start-page: 850 year: 2013 ident: 10.1016/j.rse.2022.113409_bb0165 article-title: High-resolution global maps of 21st-century forest cover change publication-title: Science doi: 10.1126/science.1244693 – volume: 2 start-page: 121 year: 2005 ident: 10.1016/j.rse.2022.113409_bb0330 article-title: Analytical derivation of the vegetation optical depth from the microwave polarization difference index publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2005.843983 – volume: 519 start-page: 344 year: 2015 ident: 10.1016/j.rse.2022.113409_bb0050 article-title: Long-term decline of the Amazon carbon sink publication-title: Nature doi: 10.1038/nature14283 – volume: 9 start-page: 457 issue: 5 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0125 article-title: SMOS-IC: an alternative SMOS soil moisture and vegetation optical depth product publication-title: Remote Sens. doi: 10.3390/rs9050457 – volume: 13 start-page: 339 issue: 3 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0295 article-title: The novel microwave temperature vegetation drought index (MTVDI) captures canopy seasonality across Amazonian tropical evergreen forests publication-title: Remote Sens. doi: 10.3390/rs13030339 – volume: 6 start-page: eaay4603 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0580 article-title: Tropical forests did not recover from the strong 2015–2016 El Nino event publication-title: Sci.Adv. doi: 10.1126/sciadv.aay4603 – volume: 145 start-page: 354 year: 2005 ident: 10.1016/j.rse.2022.113409_bb0380 article-title: Hydraulic redistribution in three Amazonian trees publication-title: Oecologia doi: 10.1007/s00442-005-0108-2 – volume: 53 start-page: 3855 year: 2015 ident: 10.1016/j.rse.2022.113409_bb0525 article-title: Impact of diurnal variation in vegetation water content on radar backscatter from maize during water stress publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2014.2386142 – volume: 45 start-page: 1996 year: 2007 ident: 10.1016/j.rse.2022.113409_bb0480 article-title: Surface topography and mixed-pixel effects on the simulated L- publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2007.898254 – volume: 263 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0560 article-title: An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2021.112556 – volume: 44 start-page: 6841 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0520 article-title: Water stress detection in the Amazon using radar publication-title: Geophys. Res. Lett. doi: 10.1002/2017GL073747 – volume: 115 start-page: 1102 year: 2011 ident: 10.1016/j.rse.2022.113409_bb0185 article-title: Satellite passive microwave remote sensing for monitoring global land surface phenology publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2010.12.015 – volume: 10 start-page: 2249 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0475 article-title: Radar remote sensing of agricultural canopies: a review publication-title: Ieee J. Select.Top. Appl.Earth Observ.Remote Sens. doi: 10.1109/JSTARS.2016.2639043 – volume: 10 start-page: 1868 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0465 article-title: “Tau-Omega”- and Two-Stream emission models used for passive L-Band retrievals: application to close-range measurements over a forest publication-title: Remote Sens. doi: 10.3390/rs10121868 – volume: 12 start-page: 2915 issue: 18 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0140 article-title: Global monitoring of the vegetation dynamics from the vegetation optical depth (VOD): a review publication-title: Remote Sens. doi: 10.3390/rs12182915 – volume: 236 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0260 article-title: Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on tau-omega and two-stream microwave emission models publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111502 – year: 2012 ident: 10.1016/j.rse.2022.113409_bb0175 article-title: Status of AMSR2 instrument on GCOM-W1 – year: 2022 ident: 10.1016/j.rse.2022.113409_bb0620 – volume: 114 start-page: 10572 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0100 article-title: Hydrologic regulation of plant rooting depth publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.1712381114 – volume: 231 start-page: 122 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0610 article-title: Leaf surface water, not plant water stress, drives diurnal variation in tropical forest canopy water content publication-title: New Phytol. doi: 10.1111/nph.17254 – volume: 13 start-page: 917 year: 2022 ident: 10.1016/j.rse.2022.113409_bb0375 article-title: Forest fragmentation impacts the seasonality of Amazonian evergreen canopies publication-title: Nat. Commun. doi: 10.1038/s41467-022-28490-7 – volume: 227 start-page: 125 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0420 article-title: Satellite-based vegetation optical depth as an indicator of drought-driven tree mortality publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.03.026 – volume: 122 start-page: 3031 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0355 article-title: Interacting effects of leaf water potential and biomass on vegetation optical depth publication-title: J. Geophys. Res.Biogeosci. doi: 10.1002/2017JG004145 – volume: 10 start-page: 2240 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0540 article-title: Assessing vegetation dynamics over Mainland Australia with Metop ASCAT publication-title: IEEE J. Select.Top.Appl.Earth Observ.Remote Sens. doi: 10.1109/JSTARS.2016.2618838 – volume: 48 issue: 16 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0205 article-title: Interannual variations of vegetation optical depth are due to both water stress and biomass changes publication-title: Geophys. Res. Lett. doi: 10.1029/2021GL095267 – volume: 172 start-page: 87 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0150 article-title: Comparison of SMOS and AMSR-E vegetation optical depth to four MODIS-based vegetation indices publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.10.021 – volume: 118 start-page: 1 year: 2012 ident: 10.1016/j.rse.2022.113409_bb0240 article-title: Effective tree scattering and opacity at L-band publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.10.024 – volume: 127 year: 2022 ident: 10.1016/j.rse.2022.113409_bb0410 article-title: Diurnal and seasonal variations of passive and active microwave satellite observations over tropical forests publication-title: J. Geophys. Res. Biogeosci. doi: 10.1029/2021JG006677 – volume: 337 start-page: 187 year: 2007 ident: 10.1016/j.rse.2022.113409_bb0605 article-title: Hydrologic response to climatic variability in a Great Lakes Watershed: a case study with the SWAT model publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2007.01.030 – volume: 60 start-page: 593 year: 1970 ident: 10.1016/j.rse.2022.113409_bb0325 article-title: Seasonality of precipitation in the United States publication-title: Ann. Assoc. Am. Geogr. doi: 10.1111/j.1467-8306.1970.tb00743.x – volume: 149 start-page: 181 year: 2014 ident: 10.1016/j.rse.2022.113409_bb0005 article-title: Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to land data assimilation system estimates publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.04.006 – volume: 28 start-page: 404 year: 2002 ident: 10.1016/j.rse.2022.113409_bb0135 article-title: The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: a follow on for european wind scatterometers publication-title: Can. J. Remote. Sens. doi: 10.5589/m02-035 – volume: 42 start-page: 416 year: 2004 ident: 10.1016/j.rse.2022.113409_bb0565 article-title: Characterizing the dependence of vegetation model parameters on crop structure, incidence angle, and polarization at L-band publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2003.817976 – volume: 12 start-page: 271 year: 2022 ident: 10.1016/j.rse.2022.113409_bb0025 article-title: Pronounced loss of Amazon rainforest resilience since the early 2000s publication-title: Nat. Clim. Chang. doi: 10.1038/s41558-022-01287-8 – volume: 47 start-page: 2722 year: 2009 ident: 10.1016/j.rse.2022.113409_bb0340 article-title: Terrain: slope influence on QuikSCAT backscatter publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2009.2016652 – volume: 67 start-page: 250 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0555 article-title: A measure of spatial stratified heterogeneity publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2016.02.052 – volume: 2 start-page: 827 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0040 article-title: Satellite passive microwaves reveal recent climate-induced carbon losses in african drylands publication-title: Nat. Ecol. Evol. doi: 10.1038/s41559-018-0530-6 – volume: 31 start-page: 716 year: 1993 ident: 10.1016/j.rse.2022.113409_bb0570 article-title: Microwave emission of vegetation: sensitivity to leaf characteristics publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/36.225537 – volume: 44 start-page: 2290 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0225 article-title: Active microwave observations of diurnal and seasonal variations of canopy water content across the humid African tropical forests publication-title: Geophys. Res. Lett. doi: 10.1002/2016GL072388 – volume: 264 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0300 article-title: ASCAT IB: a radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2021.112587 – volume: 73 start-page: 270 year: 2000 ident: 10.1016/j.rse.2022.113409_bb0595 article-title: Two-dimensional microwave interferometer retrieval capabilities over land surfaces (SMOS Mission) publication-title: Remote Sens. Environ. doi: 10.1016/S0034-4257(00)00103-6 – volume: 189 start-page: 194 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0285 article-title: Assimilation of global radar backscatter and radiometer brightness temperature observations to improve soil moisture and land evaporation estimates publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.11.022 – volume: 177 start-page: 153 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0460 article-title: ASCAT MetOp-A diurnal backscatter observations of recent vegetation drought patterns over the contiguous US: an assessment of spatial extent and relationship with precipitation and crop yield publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.01.008 – volume: 212 start-page: 80 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0615 article-title: Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests publication-title: New Phytol. doi: 10.1111/nph.14009 – volume: 234 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0190 article-title: Simultaneous retrieval of global scale vegetation optical depth, surface roughness, and soil moisture using X-band AMSR-E observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111473 – volume: 253 year: 2021 ident: 10.1016/j.rse.2022.113409_bb0270 article-title: Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2020.112208 – volume: 48 start-page: 306 year: 1997 ident: 10.1016/j.rse.2022.113409_bb0430 article-title: Water relations of plants in the field: some comments on the measurement of selected parameters publication-title: J. Exp. Bot. doi: 10.1093/jxb/48.1.1 – volume: 26 start-page: 2997 year: 2022 ident: 10.1016/j.rse.2022.113409_bb0395 article-title: The influence of vegetation water dynamics on the ASCAT backscatter-incidence angle relationship in the Amazon publication-title: Hydrol. Earth Syst. Sci. doi: 10.5194/hess-26-2997-2022 – volume: 16 start-page: 286 year: 1978 ident: 10.1016/j.rse.2022.113409_bb0515 article-title: Microwave backscatter dependence on surface roughness, soil moisture, and soil texture: Part I-Bare soil publication-title: IEEE Trans. Geosci. Electron. doi: 10.1109/TGE.1978.294586 – volume: 111 start-page: 6347 year: 2014 ident: 10.1016/j.rse.2022.113409_bb0030 article-title: Abrupt increases in Amazonian tree mortality due to drought-fire interactions publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.1305499111 – volume: 12 start-page: 177 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0350 article-title: The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA) publication-title: Earth Syst. Sci. Data doi: 10.5194/essd-12-177-2020 – volume: 113 start-page: F01002 year: 2008 ident: 10.1016/j.rse.2022.113409_bb0385 article-title: Multisensor historical climatology of satellite-derived global land surface moisture publication-title: J. Geophys. Res. Earth Surf. doi: 10.1029/2007JF000769 – volume: 50 start-page: 2618 year: 2012 ident: 10.1016/j.rse.2022.113409_bb0470 article-title: Using diurnal variation in backscatter to detect vegetation water stress publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2012.2194156 – volume: 161 start-page: 43 year: 2015 ident: 10.1016/j.rse.2022.113409_bb0195 article-title: A global comparison of alternate AMSR2 soil moisture products: why do they differ? publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.02.002 – volume: 26 start-page: 1147 year: 2003 ident: 10.1016/j.rse.2022.113409_bb0335 article-title: Whole-tree water transport scales with sapwood capacitance in tropical forest canopy trees publication-title: Plant Cell Environ. doi: 10.1046/j.1365-3040.2003.01039.x – volume: 177 start-page: 265 year: 2016 ident: 10.1016/j.rse.2022.113409_bb0490 article-title: Remote sensing of vegetation dynamics in drylands: evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.02.056 – volume: 223 start-page: 1166 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0215 article-title: Macro to micro: microwave remote sensing of plant water content for physiology and ecology publication-title: New Phytol doi: 10.1111/nph.15808 – volume: 107 start-page: 14685 year: 2010 ident: 10.1016/j.rse.2022.113409_bb0035 article-title: Seasonal and interannual variability of climate and vegetation indices across the Amazon publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.0908741107 – volume: 113 start-page: B12202 year: 2008 ident: 10.1016/j.rse.2022.113409_bb0360 article-title: Assessment of the topography impact on microwave radiometry at L-band publication-title: J. Geophys. Res.Solid Earth doi: 10.1029/2008JB005602 – volume: 22 start-page: 5 year: 2013 ident: 10.1016/j.rse.2022.113409_bb0545 article-title: The ASCAT soil moisture product: a review of its specifications, validation results, and publication-title: Meteorol. Z. doi: 10.1127/0941-2948/2013/0399 – volume: 282 year: 2022 ident: 10.1016/j.rse.2022.113409_bb0275 article-title: The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2022.113272 – volume: 51 start-page: 331 year: 1995 ident: 10.1016/j.rse.2022.113409_bb0575 article-title: A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields publication-title: Remote Sens. Environ. doi: 10.1016/0034-4257(94)00081-W – volume: 369 start-page: 1378 year: 2020 ident: 10.1016/j.rse.2022.113409_bb0505 article-title: Long-term forest degradation surpasses deforestation in the Brazilian Amazon publication-title: Science doi: 10.1126/science.abb3021 – volume: 271 year: 2022 ident: 10.1016/j.rse.2022.113409_bb0265 article-title: A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): algorithm, assessment and inter-comparison publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2022.112921 – volume: 233 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0015 article-title: Estimation of relative canopy absorption and scattering at L-, C- and X-bands publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111384 – volume: 5 start-page: 944 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0095 article-title: Satellite-observed pantropical carbon dynamics publication-title: Nat. Plants doi: 10.1038/s41477-019-0478-9 – volume: 129 start-page: 66 year: 2013 ident: 10.1016/j.rse.2022.113409_bb0230 article-title: Quantifying scattering albedo in microwave emission of vegetated terrain publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2012.10.021 – volume: 49 start-page: 3167 year: 2011 ident: 10.1016/j.rse.2022.113409_bb0235 article-title: A first-order radiative transfer model for microwave radiometry of forest canopies at L-band publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2010.2091139 – volume: 38 start-page: L12703 year: 2011 ident: 10.1016/j.rse.2022.113409_bb0320 article-title: The drought of 2010 in the context of historical droughts in the Amazon region publication-title: Geophys. Res. Lett. doi: 10.1029/2011GL047436 – volume: 116 start-page: 22393 year: 2019 ident: 10.1016/j.rse.2022.113409_bb0080 article-title: TROPOMI reveals dry-season increase of solar-induced chlorophyll fluorescence in the Amazon forest publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.1908157116 – volume: 219 start-page: 324 year: 2018 ident: 10.1016/j.rse.2022.113409_bb0110 article-title: Characterization of higher-order scattering from vegetation with SMAP measurements publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2018.10.022 – volume: 9 start-page: 791 year: 2017 ident: 10.1016/j.rse.2022.113409_bb0085 article-title: A global satellite environmental data record derived from AMSR-E and AMSR2 microwave earth observations publication-title: Earth Syst. Sci. Data doi: 10.5194/essd-9-791-2017 |
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| SubjectTerms | Amazon forest AMSR2 ASCAT-IB ORCHIDEE-CAN-NHA land surface model Sciences of the Universe Seasonality SMOS-IC Vegetation optical depth Vegetation water content VODCA |
| Title | Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests |
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