Susceptibility Mapping of Unhealthy Trees in Jiuzhaigou Valley Biosphere Reserve
Jiuzhaigou Valley is recognized as both a world natural heritage site and a biosphere reserve. Conducting research on vegetation health within its scope can provide a demonstration role for sustainable development research. In this study, we proposed a technology integration approach that combined r...
Saved in:
| Published in | Remote sensing (Basel, Switzerland) Vol. 15; no. 23; p. 5516 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.12.2023
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Jiuzhaigou Valley is recognized as both a world natural heritage site and a biosphere reserve. Conducting research on vegetation health within its scope can provide a demonstration role for sustainable development research. In this study, we proposed a technology integration approach that combined remote sensing intelligent identification and quantitative retrieval, and achieved vegetation health monitoring and susceptibility mapping of unhealthy trees. Leveraging WorldView-2 high-resolution satellite images, unhealthy trees were elaborately identified through the object-oriented classification method employing spectral and texture features, with F1 Score exceeding 75%. By applying fuzzy operations on indices related to leaf pigment and canopy architecture, we ultimately generated susceptibility maps of unhealthy trees on Sentinel-2 satellite images, with Area Under the Curve (AUC) exceeding 0.85. Our findings underscore that the vegetation health in Jiuzhaigou Valley is predominantly influenced by human activities and geological hazards. The forests of Jiuzhaigou Valley exhibit a certain degree of resilience to geological disasters, while human activities have been continuously exerting adverse effects on forest health in recent years, necessitating heightened attention. The methodology proposed in this study for mapping unhealthy trees susceptibility presents a cost-effective solution that can be readily applied for vegetation health monitoring and early warning in analogous biosphere reserves. |
|---|---|
| AbstractList | Jiuzhaigou Valley is recognized as both a world natural heritage site and a biosphere reserve. Conducting research on vegetation health within its scope can provide a demonstration role for sustainable development research. In this study, we proposed a technology integration approach that combined remote sensing intelligent identification and quantitative retrieval, and achieved vegetation health monitoring and susceptibility mapping of unhealthy trees. Leveraging WorldView-2 high-resolution satellite images, unhealthy trees were elaborately identified through the object-oriented classification method employing spectral and texture features, with F1 Score exceeding 75%. By applying fuzzy operations on indices related to leaf pigment and canopy architecture, we ultimately generated susceptibility maps of unhealthy trees on Sentinel-2 satellite images, with Area Under the Curve (AUC) exceeding 0.85. Our findings underscore that the vegetation health in Jiuzhaigou Valley is predominantly influenced by human activities and geological hazards. The forests of Jiuzhaigou Valley exhibit a certain degree of resilience to geological disasters, while human activities have been continuously exerting adverse effects on forest health in recent years, necessitating heightened attention. The methodology proposed in this study for mapping unhealthy trees susceptibility presents a cost-effective solution that can be readily applied for vegetation health monitoring and early warning in analogous biosphere reserves. |
| Audience | Academic |
| Author | Zhu, Meng Shi, Pilong Zhou, Wei Gao, Sheng Chen, Fulong Wang, Qin |
| Author_xml | – sequence: 1 givenname: Sheng surname: Gao fullname: Gao, Sheng – sequence: 2 givenname: Fulong orcidid: 0000-0003-1144-0004 surname: Chen fullname: Chen, Fulong – sequence: 3 givenname: Qin surname: Wang fullname: Wang, Qin – sequence: 4 givenname: Pilong surname: Shi fullname: Shi, Pilong – sequence: 5 givenname: Wei orcidid: 0000-0003-0947-3843 surname: Zhou fullname: Zhou, Wei – sequence: 6 givenname: Meng surname: Zhu fullname: Zhu, Meng |
| BookMark | eNpNUdtKJDEQDaKgq774BQHfhHFztTuPKusNF8Xba6hOV2YytJ3epFsYv36jI-5WPVRxqDp1ivODbPaxR0IOODuW0rCfKXMtpNb8ZIPsCFaJmRJGbP7Xb5P9nJeshJTcMLVD7h-n7HAYQxO6MK7obxiG0M9p9PS5XyB042JFnxJipqGnN2F6X0CYx4m-QNfhip6FmIcFJqQPmDG94R7Z8tBl3P-qu-T54tfT-dXs9u7y-vz0duakNuPM8YqBaFXFNDrBW9cqoxTUvijz3vPyBQeDVQOSn5iWedToHUALFfraG7lLrte8bYSlHVJ4hbSyEYL9BGKaW0hjcB1a74yQjTKsEUoxX4NDo5lqwJhKoNSF63DNNaT4Z8I82mWcUl_kW1Gbosso_nHxeD01h0Iaeh_HBK5ki6_BFSt8KPhpVenaCM5EWThaL7gUc07ov2VyZj8cs_8ck38BJ2GJ_A |
| Cites_doi | 10.3390/f12081134 10.1007/s11356-017-0768-6 10.1039/c1cs15008a 10.1016/j.jclepro.2022.134497 10.1016/0034-4257(90)90100-Z 10.3390/rs13224682 10.1016/S0273-1177(97)01133-2 10.1016/j.rse.2013.01.002 10.3390/rs14020388 10.1016/j.foreco.2015.07.032 10.1016/S0034-4257(96)00072-7 10.1016/j.eng.2020.07.001 10.1109/TSMC.1973.4309314 10.1017/S0376892900015113 10.1046/j.1469-8137.1999.00424.x 10.1080/13658816.2010.496729 10.1038/s41586-020-2849-9 10.1016/j.rse.2011.02.018 10.3390/rs14133075 10.1007/s11119-015-9424-7 10.3390/agronomy9100663 10.1016/j.rse.2011.09.002 10.1016/j.ecolind.2015.11.023 10.1504/IJESD.2008.018358 10.1007/s11625-018-0603-0 10.3389/fenvs.2023.1171660 10.1007/BF00131175 10.1007/s11676-022-01525-x 10.1016/j.foreco.2023.120983 10.1111/gcb.13636 10.1109/MGRS.2021.3087445 10.31223/X50072 10.1016/j.agrformet.2022.109294 10.1016/j.apsoil.2014.03.007 10.3897/zookeys.1114.79709 10.1016/j.rse.2013.02.006 10.1111/biom.13365 10.1016/j.jphotobiol.2021.112278 10.1562/0031-8655(2001)074<0038:OPANEO>2.0.CO;2 10.1080/17538947.2023.2257636 10.1016/S0019-9958(65)90241-X 10.3390/agriculture11030251 10.1126/science.1185383 10.1109/IMCOM48794.2020.9001817 10.1088/1748-9326/abdcf2 10.3763/cpol.2007.0475 10.3389/feart.2021.633117 10.1109/IGARSS.2012.6350842 10.1080/01431161.2015.1007253 10.1016/j.eng.2021.12.018 10.1016/j.foreco.2005.09.021 10.1016/j.isprsjprs.2017.07.007 10.3832/ifor0592-004 10.1016/j.rse.2019.111238 10.3390/f14010154 10.3390/w12030771 10.1080/01431161.2022.2032455 10.1016/0025-5564(75)90047-4 10.1016/j.rse.2020.112240 10.3390/rs70709020 10.1016/j.rse.2010.05.018 10.3390/rs11101197 10.1016/j.rse.2017.04.005 10.1088/1748-9326/11/10/104010 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2023 MDPI AG 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: COPYRIGHT 2023 MDPI AG – notice: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD 8FE 8FG ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F28 FR3 H8D H8G HCIFZ JG9 JQ2 KR7 L6V L7M L~C L~D M7S P5Z P62 P64 PCBAR PIMPY PQEST PQQKQ PQUKI PTHSS DOA |
| DOI | 10.3390/rs15235516 |
| DatabaseName | CrossRef Aluminium Industry Abstracts Biotechnology Research Abstracts Ceramic Abstracts Chemoreception Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Ecology Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central Technology Collection ProQuest Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Korea ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library SciTech Premium Collection Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Earth, Atmospheric & Aquatic Science Database Publicly Available Content Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition Engineering Collection DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database Materials Research Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection Materials Business File Environmental Sciences and Pollution Management Engineered Materials Abstracts Natural Science Collection Chemoreception Abstracts Engineering Collection ANTE: Abstracts in New Technology & Engineering Advanced Technologies & Aerospace Collection Engineering Database Aluminium Industry Abstracts ProQuest One Academic Eastern Edition Electronics & Communications Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Ceramic Abstracts Ecology Abstracts Biotechnology and BioEngineering Abstracts ProQuest One Academic UKI Edition Solid State and Superconductivity Abstracts Engineering Research Database ProQuest One Academic Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) ProQuest One Community College Earth, Atmospheric & Aquatic Science Collection ProQuest Central Aerospace Database Copper Technical Reference Library ProQuest Engineering Collection Biotechnology Research Abstracts ProQuest Central Korea Advanced Technologies Database with Aerospace Civil Engineering Abstracts ProQuest SciTech Collection METADEX Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database Materials Science & Engineering Collection Corrosion Abstracts |
| DatabaseTitleList | CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography Geology |
| EISSN | 2072-4292 |
| ExternalDocumentID | oai_doaj_org_article_fc923b490b2440f8ace9504ba9972e35 A775892102 10_3390_rs15235516 |
| GeographicLocations | China Taiwan |
| GeographicLocations_xml | – name: China – name: Taiwan |
| GroupedDBID | 29P 2WC 2XV 5VS 8FE 8FG 8FH AADQD AAHBH AAYXX ABDBF ABJCF ADBBV AENEX AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS ARAPS BCNDV BENPR BGLVJ BHPHI BKSAR CCPQU CITATION E3Z ESX FRP GROUPED_DOAJ HCIFZ I-F IAO ITC KQ8 L6V LK5 M7R M7S MODMG M~E OK1 P62 PCBAR PIMPY PROAC PTHSS RIG TR2 TUS 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD ABUWG AZQEC C1K DWQXO F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 PQEST PQQKQ PQUKI |
| ID | FETCH-LOGICAL-c359t-c170a2d4705ec21dcd4944a8f033fff15511a9e7ba3169d0fe5efcaada7ef8f93 |
| IEDL.DBID | 8FG |
| ISSN | 2072-4292 |
| IngestDate | Tue Oct 22 15:15:31 EDT 2024 Mon Nov 04 15:21:27 EST 2024 Fri Feb 02 04:37:13 EST 2024 Thu Sep 26 18:19:59 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 23 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c359t-c170a2d4705ec21dcd4944a8f033fff15511a9e7ba3169d0fe5efcaada7ef8f93 |
| ORCID | 0000-0003-1144-0004 0000-0003-0947-3843 |
| OpenAccessLink | https://www.proquest.com/docview/2899449419?pq-origsite=%requestingapplication% |
| PQID | 2899449419 |
| PQPubID | 2032338 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_fc923b490b2440f8ace9504ba9972e35 proquest_journals_2899449419 gale_infotracacademiconefile_A775892102 crossref_primary_10_3390_rs15235516 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-12-01 |
| PublicationDateYYYYMMDD | 2023-12-01 |
| PublicationDate_xml | – month: 12 year: 2023 text: 2023-12-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Remote sensing (Basel, Switzerland) |
| PublicationYear | 2023 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Wang (ref_6) 2011; 40 He (ref_28) 2019; 231 ref_57 Gamon (ref_43) 1999; 143 Wang (ref_33) 2015; 36 Chen (ref_36) 2017; 195 ref_51 Zhang (ref_38) 2022; 1114 Dash (ref_59) 2017; 131 Ishimura (ref_67) 2011; 4 Shukla (ref_2) 2008; 8 ref_61 Watt (ref_64) 2023; 330 Vaughn (ref_66) 2023; 538 Gitelson (ref_19) 1996; 58 Shortliffe (ref_53) 1975; 23 Vincini (ref_62) 2015; 17 ref_25 Ri (ref_34) 2023; 11 Luckett (ref_56) 2021; 77 ref_65 ref_20 ref_63 Langer (ref_4) 2021; 16 Wulder (ref_14) 2006; 221 Chen (ref_50) 2011; 25 Jakob (ref_1) 2016; 11 Krab (ref_5) 2014; 79 ref_29 ref_27 Eitel (ref_18) 2011; 115 Ishwaran (ref_10) 2008; 7 Cao (ref_39) 2016; 62 Zadeh (ref_55) 1965; 8 Hu (ref_26) 2022; 43 Dennison (ref_60) 2010; 114 Batisse (ref_9) 2009; 12 Croft (ref_15) 2013; 133 Gitelson (ref_45) 2001; 74 Reed (ref_11) 2018; 14 Wang (ref_23) 2015; 7 ref_35 Yang (ref_7) 2022; 377 ref_30 Hao (ref_58) 2023; 16 Meddens (ref_68) 2011; 115 Dallahi (ref_17) 2022; 34 Gupta (ref_21) 2021; 24 Bossard (ref_41) 2015; 356 ref_37 Wang (ref_12) 2020; 586 Meddens (ref_32) 2013; 132 Gitelson (ref_44) 1998; 22 ref_46 Jump (ref_16) 2017; 23 Eugenio (ref_22) 2022; 10 Haralick (ref_52) 1973; SMC-3 ref_42 Godfray (ref_3) 2010; 327 ref_40 Wei (ref_8) 2022; 14 Syifa (ref_24) 2020; 6 Huo (ref_31) 2021; 255 ref_49 Iverson (ref_13) 1989; 3 Narenkumar (ref_48) 2018; 25 Guo (ref_54) 2021; 9 Jacquemoud (ref_47) 1990; 34 |
| References_xml | – ident: ref_37 doi: 10.3390/f12081134 – volume: 25 start-page: 5412 year: 2018 ident: ref_48 article-title: Bioengineered silver nanoparticles as potent anti-corrosive inhibitor for mild steel in cooling towers publication-title: Environ. Sci. Pollut. Res. Int. doi: 10.1007/s11356-017-0768-6 contributor: fullname: Narenkumar – ident: ref_49 – volume: 40 start-page: 3703 year: 2011 ident: ref_6 article-title: Recent advances in catalytic hydrogenation of carbon dioxide publication-title: Chem. Soc. Rev. doi: 10.1039/c1cs15008a contributor: fullname: Wang – ident: ref_51 – volume: 377 start-page: 134497 year: 2022 ident: ref_7 article-title: An integrated evaluation on China’s provincial carbon peak and carbon neutrality publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2022.134497 contributor: fullname: Yang – volume: 34 start-page: 75 year: 1990 ident: ref_47 article-title: PROSPECT: A model of leaf optical properties spectra publication-title: Remote Sens. Environ. doi: 10.1016/0034-4257(90)90100-Z contributor: fullname: Jacquemoud – ident: ref_65 doi: 10.3390/rs13224682 – volume: 22 start-page: 689 year: 1998 ident: ref_44 article-title: Remote sensing of chlorophyll concentration in higher plant leaves publication-title: Adv. Space Res. doi: 10.1016/S0273-1177(97)01133-2 contributor: fullname: Gitelson – volume: 132 start-page: 49 year: 2013 ident: ref_32 article-title: Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2013.01.002 contributor: fullname: Meddens – ident: ref_35 doi: 10.3390/rs14020388 – volume: 356 start-page: 84 year: 2015 ident: ref_41 article-title: New patterns of establishment and growth of Picea, Abies and Betula tree species in subalpine forest gaps of Jiuzhaigou National Nature Reserve, Sichuan, southwestern China in a changing environment publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2015.07.032 contributor: fullname: Bossard – volume: 58 start-page: 289 year: 1996 ident: ref_19 article-title: Use of a green channel in remote sensing of global vegetation from EOS-MODIS publication-title: Remote Sens. Environ. doi: 10.1016/S0034-4257(96)00072-7 contributor: fullname: Gitelson – volume: 6 start-page: 919 year: 2020 ident: ref_24 article-title: Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques publication-title: Engineering doi: 10.1016/j.eng.2020.07.001 contributor: fullname: Syifa – volume: SMC-3 start-page: 610 year: 1973 ident: ref_52 article-title: Textural features for image classification publication-title: IEEE Trans. Syst. Man Cybern. doi: 10.1109/TSMC.1973.4309314 contributor: fullname: Haralick – volume: 12 start-page: 17 year: 2009 ident: ref_9 article-title: Action Plan for Biosphere Reserves publication-title: Environ. Conserv. doi: 10.1017/S0376892900015113 contributor: fullname: Batisse – volume: 143 start-page: 105 year: 1999 ident: ref_43 article-title: Assessing leaf pigment content and activity with a reflectometer publication-title: N. Phytol. doi: 10.1046/j.1469-8137.1999.00424.x contributor: fullname: Gamon – volume: 25 start-page: 877 year: 2011 ident: ref_50 article-title: A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery publication-title: Int. J. Geogr. Inf. Sci. doi: 10.1080/13658816.2010.496729 contributor: fullname: Chen – volume: 586 start-page: 720 year: 2020 ident: ref_12 article-title: Large Chinese land carbon sink estimated from atmospheric carbon dioxide data publication-title: Nature doi: 10.1038/s41586-020-2849-9 contributor: fullname: Wang – volume: 115 start-page: 1632 year: 2011 ident: ref_68 article-title: Evaluating the potential of multispectral imagery to map multiple stages of tree mortality publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.02.018 contributor: fullname: Meddens – ident: ref_25 doi: 10.3390/rs14133075 – volume: 17 start-page: 313 year: 2015 ident: ref_62 article-title: Sensitivity of leaf chlorophyll empirical estimators obtained at Sentinel-2 spectral resolution for different canopy structures publication-title: Precis. Agric. doi: 10.1007/s11119-015-9424-7 contributor: fullname: Vincini – ident: ref_46 doi: 10.3390/agronomy9100663 – volume: 115 start-page: 3640 year: 2011 ident: ref_18 article-title: Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.09.002 contributor: fullname: Eitel – volume: 62 start-page: 182 year: 2016 ident: ref_39 article-title: Lake macroinvertebrate assemblages and relationship with natural environment and tourism stress in Jiuzhaigou Natural Reserve, China publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2015.11.023 contributor: fullname: Cao – volume: 7 start-page: 118 year: 2008 ident: ref_10 article-title: Concept and practice: The case of UNESCO biosphere reserves publication-title: Int. J. Environ. Sustain. Dev. doi: 10.1504/IJESD.2008.018358 contributor: fullname: Ishwaran – volume: 14 start-page: 809 year: 2018 ident: ref_11 article-title: The contributions of UNESCO Man and Biosphere Programme and biosphere reserves to the practice of sustainability science publication-title: Sustain. Sci. doi: 10.1007/s11625-018-0603-0 contributor: fullname: Reed – volume: 11 start-page: 1171660 year: 2023 ident: ref_34 article-title: Health assessment of natural larch forest in arxan guided by forestry remote sensing integrated with canopy feature analysis publication-title: Front. Environ. Sci. doi: 10.3389/fenvs.2023.1171660 contributor: fullname: Ri – volume: 3 start-page: 131 year: 1989 ident: ref_13 article-title: Applications of satellite remote sensing to forested ecosystems publication-title: Landsc. Ecol. doi: 10.1007/BF00131175 contributor: fullname: Iverson – volume: 34 start-page: 793 year: 2022 ident: ref_17 article-title: Assessment of forest dieback on the Moroccan Central Plateau using spectral vegetation indices publication-title: J. For. Res. doi: 10.1007/s11676-022-01525-x contributor: fullname: Dallahi – volume: 538 start-page: 120983 year: 2023 ident: ref_66 article-title: Multi-scale remote sensing-based landscape epidemiology of the spread of rapid ‘Ōhiʻa Death in Hawaiʻi publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2023.120983 contributor: fullname: Vaughn – volume: 23 start-page: 3742 year: 2017 ident: ref_16 article-title: Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.13636 contributor: fullname: Jump – volume: 10 start-page: 320 year: 2022 ident: ref_22 article-title: Remotely Piloted Aircraft Systems to Identify Pests and Diseases in Forest Species: The global state of the art and future challenges publication-title: IEEE Geosci. Remote Sens. Mag. doi: 10.1109/MGRS.2021.3087445 contributor: fullname: Eugenio – ident: ref_30 doi: 10.31223/X50072 – volume: 330 start-page: 109294 year: 2023 ident: ref_64 article-title: Prediction of the severity of Dothistroma needle blight in radiata pine using plant based traits and narrow band indices derived from UAV hyperspectral imagery publication-title: Agric. For. Meteorol. doi: 10.1016/j.agrformet.2022.109294 contributor: fullname: Watt – volume: 79 start-page: 70 year: 2014 ident: ref_5 article-title: Northern peatland Collembola communities unaffected by three summers of simulated extreme precipitation publication-title: Appl. Soil Ecol. doi: 10.1016/j.apsoil.2014.03.007 contributor: fullname: Krab – volume: 1114 start-page: 59 year: 2022 ident: ref_38 article-title: Exploring cryptic biodiversity in a world heritage site: A new pitviper (Squamata, Viperidae, Crotalinae) from Jiuzhaigou, Aba, Sichuan, China publication-title: Zookeys doi: 10.3897/zookeys.1114.79709 contributor: fullname: Zhang – volume: 133 start-page: 128 year: 2013 ident: ref_15 article-title: Modelling leaf chlorophyll content in broadleaf and needle leaf canopies from ground, CASI, Landsat TM 5 and MERIS reflectance data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2013.02.006 contributor: fullname: Croft – volume: 77 start-page: 1422 year: 2021 ident: ref_56 article-title: Receiver operating characteristic curves and confidence bands for support vector machines publication-title: Biometrics doi: 10.1111/biom.13365 contributor: fullname: Luckett – ident: ref_20 doi: 10.1016/j.jphotobiol.2021.112278 – volume: 74 start-page: 38 year: 2001 ident: ref_45 article-title: Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves publication-title: Photochem. Photobiol. doi: 10.1562/0031-8655(2001)074<0038:OPANEO>2.0.CO;2 contributor: fullname: Gitelson – volume: 24 start-page: 579 year: 2021 ident: ref_21 article-title: Spectral aspects for monitoring forest health in extreme season using multispectral imagery publication-title: Egypt. J. Remote Sens. Space Sci. contributor: fullname: Gupta – volume: 16 start-page: 3753 year: 2023 ident: ref_58 article-title: The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation publication-title: Int. J. Digit. Earth doi: 10.1080/17538947.2023.2257636 contributor: fullname: Hao – volume: 8 start-page: 338 year: 1965 ident: ref_55 article-title: Fuzzy sets publication-title: Inf. Control doi: 10.1016/S0019-9958(65)90241-X contributor: fullname: Zadeh – ident: ref_61 doi: 10.3390/agriculture11030251 – volume: 327 start-page: 812 year: 2010 ident: ref_3 article-title: Food security: The challenge of feeding 9 billion people publication-title: Science doi: 10.1126/science.1185383 contributor: fullname: Godfray – ident: ref_27 doi: 10.1109/IMCOM48794.2020.9001817 – volume: 16 start-page: 024049 year: 2021 ident: ref_4 article-title: Climate change reduces winter overland travel across the Pan-Arctic even under low-end global warming scenarios publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/abdcf2 contributor: fullname: Langer – volume: 8 start-page: 202 year: 2008 ident: ref_2 article-title: Sustainable development and climate change: Lessons from country studies publication-title: Clim. Policy doi: 10.3763/cpol.2007.0475 contributor: fullname: Shukla – volume: 9 start-page: 633117 year: 2021 ident: ref_54 article-title: Monitoring and Assessment for the Susceptibility of Landslide Changes After the 2017 Ms 7.0 Jiuzhaigou Earthquake Using the Remote Sensing Technology publication-title: Front. Earth Sci. doi: 10.3389/feart.2021.633117 contributor: fullname: Guo – ident: ref_42 doi: 10.1109/IGARSS.2012.6350842 – volume: 36 start-page: 1114 year: 2015 ident: ref_33 article-title: Mapping health levels of Robinia pseudoacacia forests in the Yellow River delta, China, using IKONOS and Landsat 8 OLI imagery publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2015.1007253 contributor: fullname: Wang – volume: 14 start-page: 52 year: 2022 ident: ref_8 article-title: Policy and Management of Carbon Peaking and Carbon Neutrality: A Literature Review publication-title: Engineering doi: 10.1016/j.eng.2021.12.018 contributor: fullname: Wei – volume: 221 start-page: 27 year: 2006 ident: ref_14 article-title: Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2005.09.021 contributor: fullname: Wulder – volume: 131 start-page: 1 year: 2017 ident: ref_59 article-title: Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2017.07.007 contributor: fullname: Dash – volume: 4 start-page: 195 year: 2011 ident: ref_67 article-title: Remote sensing of Japanese beech forest decline using an improved Temperature Vegetation Dryness Index (iTVDI) publication-title: Iforest Biogeosci. For. doi: 10.3832/ifor0592-004 contributor: fullname: Ishimura – volume: 231 start-page: 111238 year: 2019 ident: ref_28 article-title: Integrating multi-sensor remote sensing and species distribution modeling to map the spread of emerging forest disease and tree mortality publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2019.111238 contributor: fullname: He – ident: ref_63 doi: 10.3390/f14010154 – ident: ref_40 doi: 10.3390/w12030771 – volume: 43 start-page: 1274 year: 2022 ident: ref_26 article-title: UAV remote sensing monitoring of pine forest diseases based on improved Mask R-CNN publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2022.2032455 contributor: fullname: Hu – volume: 23 start-page: 351 year: 1975 ident: ref_53 article-title: A model of inexact reasoning in medicine publication-title: Math. Biosci. doi: 10.1016/0025-5564(75)90047-4 contributor: fullname: Shortliffe – volume: 255 start-page: 112240 year: 2021 ident: ref_31 article-title: Early detection of forest stress from European spruce bark beetle attack, and a new vegetation index: Normalized distance red & SWIR (NDRS) publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2020.112240 contributor: fullname: Huo – volume: 7 start-page: 9020 year: 2015 ident: ref_23 article-title: Mapping Robinia Pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial, and Textural Information Extracted from IKONOS Imagery and Random Forest Classifier publication-title: Remote Sens. doi: 10.3390/rs70709020 contributor: fullname: Wang – volume: 114 start-page: 2431 year: 2010 ident: ref_60 article-title: Assessing canopy mortality during a mountain pine beetle outbreak using GeoEye-1 high spatial resolution satellite data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2010.05.018 contributor: fullname: Dennison – ident: ref_29 doi: 10.3390/rs11101197 – volume: 195 start-page: 218 year: 2017 ident: ref_36 article-title: Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2017.04.005 contributor: fullname: Chen – ident: ref_57 – volume: 11 start-page: 104010 year: 2016 ident: ref_1 article-title: Implications of climate change mitigation for sustainable development publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/11/10/104010 contributor: fullname: Jakob |
| SSID | ssj0000331904 |
| Score | 2.3951557 |
| Snippet | Jiuzhaigou Valley is recognized as both a world natural heritage site and a biosphere reserve. Conducting research on vegetation health within its scope can... |
| SourceID | doaj proquest gale crossref |
| SourceType | Open Website Aggregation Database |
| StartPage | 5516 |
| SubjectTerms | Algorithms Biosphere Biosphere reserves Carbon Disease fuzzy operations Geological hazards Geology Health aspects Historic sites Image resolution Jiuzhaigou Valley Landslides & mudslides Mapping Remote sensing Satellite imagery Sentinel-2 Support vector machines Susceptibility Sustainable development Trees Trends Unmanned aerial vehicles Valleys Vegetation vegetation health WorldView-2 |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PS8MwFA6yi17EnzidElDwVNY26docN3GMwURwk93CS5psu3TSbsL8681rO50H8eK15JC8L3nfe_S97xFylyjOQpEwD0AJjztO9hIrEk9rziMdWa0S7EYePXUGEz6cRtOdUV9YE1bJA1eGa1vtQhDFha8cEfk2AW1E5HMF2PFpWKVe6oudZKr0wcxdLZ9XeqTM5fXtvHBMxfC30A8GKoX6f3PHJcf0j8hhHRzSbrWpY7JnshOyX88pn29OyfPLuijrUMqS1g0dAcorzOjS0klWtTRu6Dg3pqCLjA4X6485LGbLNX3FkSkb2lssC9QRMBQr7vJ3c0Ym_cfxw8CrZyJ4mkVi5ekg9iFMeexHRodBqlMuOIfEuhNbazEACkCYWAELOiL1rYmM1QApxMY6FNg5aWTLzFwQCsqkNnDesKM6XKUhhKDckpK200DbJrnd2km-VdIX0qUMaE35bc0m6aEJv1agXHX5wYEoaxDlXyA2yT0CIPFRrXLQUPcGuI2iPJXsxi6tEZidNklri5GsX1shMWnkzg6BuPyP3VyRAxwqXxWttEhjla_NtQs9VuqmvGWfhO7YDg priority: 102 providerName: Directory of Open Access Journals |
| Title | Susceptibility Mapping of Unhealthy Trees in Jiuzhaigou Valley Biosphere Reserve |
| URI | https://www.proquest.com/docview/2899449419 https://doaj.org/article/fc923b490b2440f8ace9504ba9972e35 |
| Volume | 15 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Nb9QwEB1BKwQXBAXEQllZAolT1CR2NvEJdVG3VaVWFXRRb9b4a7uXpCS7SOHX43GyrTjANfEhmRnPzLNn3gB8qrTguax4gqhlIkJMTiovq8QYIQpTeKMr6ka-uJydLcX5TXEzHrh1Y1nlzidGR20bQ2fkRwQMhJAik1_ufiY0NYpuV8cRGo9hP8vLksBXtTi9P2NJeTCwVAyspDyg-6O2C_GK0-XQX3Eo0vX_yynHSLN4Ac_HFJEdDzp9CY9cfQBPx2nlt_0BPDmN43j7V3D1fdvFupRY4tqzCyS6hRVrPFvWQ4tjz65b5zq2rtn5evv7FterZst-0AiVns3XTUe8Ao5RBV77y72G5eLk-utZMs5ISAwv5CYxWZlibkWZFs7kmTU2yEhg5cO_e-8pIcpQulIjz2bSpt4VzhtEi6XzQSv8DezVTe3eAkPtrM-Cd5zpmdA2xxx1WBLDuM2Mn8DHncTU3UCFoQKEILmqB7lOYE7CvF9B9NXxQdOu1LgblDchr9RCpjpkF6mv0DhZpEIjtfE6XkzgM6lC0SbbtGhw7BUIH0p0Veq4DDBHElqdwOFOW2rcfZ16sJV3_3_9Hp7R-PihgPEQ9jbt1n0IScZGT6MlTWF_fnJ59W0aofof4JDVcg |
| link.rule.ids | 315,783,787,867,2109,12777,21400,27936,27937,33385,33756,43612,43817,74369,74636 |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagCJVLBQXUpQUsgcQpahI7m_hUtRXbpXQrJHZRb9b4td1LUpJdpPDr8TjeVhzgmviQzIznYc98HyEfK8VZLiqWACiRcB-Tk8qJKtGa80IXTqsKp5Fn1-Ppgl_eFDfxwK2LbZVbnxgctWk0npEfY2HAueCZOLn7mSBrFN6uRgqNx-QJZz5W46T45OL-jCVl3sBSPqCSMl_dH7edj1cML4f-ikMBrv9fTjlEmslzshdTRHo66PQFeWTrfbIb2cpv-33y9CLQ8fYvybfvmy70pYQW157OAOEWlrRxdFEPI449nbfWdnRV08vV5vctrJbNhv5ACpWenq2aDnEFLMUOvPaXfUUWk8_z82kSORISzQqxTnRWppAbXqaF1XlmtPEy4lA5_-_OOUyIMhC2VMCysTCps4V1GsBAaZ3XCntNduqmtgeEgrLGZd47jtWYK5NDDsovCWHcZNqNyIetxOTdAIUhfQmBcpUPch2RMxTm_QqErw4PmnYp426QTvu8UnGRKp9dpK4CbUWRcgU4xmtZMSKfUBUSN9m6BQ1xVsB_KMJVydPSlzkCq9UROdpqS8bd18kHW3nz_9fvye50PruSV1-uvx6SZ0glP7SqHJGddbuxb33CsVbvglX9ATho1cM |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagiMcFQQGx0IIlkDhFm8TOw6eqBbal0KoSXdSbNX5t95KUZLdS-uvxON5WHOCa-JDMjOdhf_MNIR9rxVkuapYAKJFwH5OT2ok60ZrzQhdOqxq7kU9Oy6M5P74oLiL-qY-wyo1PDI7atBrPyKdYGHAueCamLsIizr7M9q5-JzhBCm9a4ziN--SBj4olWng9O7w9b0mZN7aUjwylzFf60673sYvhRdFfMSlQ9__LQYeoM3tGnsZ0ke6P-n1O7tlmmzyOk8svh23y8DCM5h1ekLOf6z5gVALcdaAngNQLC9o6Om_GdseBnnfW9nTZ0OPl-uYSlot2TX_hOJWBHizbHjkGLEU0XndtX5L57Ov556MkzktINCvEKtFZlUJueJUWVueZ0cbLi0Pt_L875zA5ykDYSgHLSmFSZwvrNICByjqvIfaKbDVtY18TCsoal3lPWaqSK5NDDsovCSHdZNpNyIeNxOTVSIshfTmBcpV3cp2QAxTm7Qqksg4P2m4h486QTvscU3GRKp9ppK4GbUWRcgXY0mtZMSGfUBUSN9yqAw2xb8B_KFJXyf3KlzwCK9cJ2dloS8ad2Ms7u3nz_9fvySNvUPLHt9Pvb8mT8dIIcY07ZGvVre2uzz1W6l0wqj8aZdoH |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Susceptibility+Mapping+of+Unhealthy+Trees+in+Jiuzhaigou+Valley+Biosphere+Reserve&rft.jtitle=Remote+sensing+%28Basel%2C+Switzerland%29&rft.au=Gao%2C+Sheng&rft.au=Chen%2C+Fulong&rft.au=Wang%2C+Qin&rft.au=Shi%2C+Pilong&rft.date=2023-12-01&rft.pub=MDPI+AG&rft.eissn=2072-4292&rft.volume=15&rft.issue=23&rft.spage=5516&rft_id=info:doi/10.3390%2Frs15235516&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2072-4292&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2072-4292&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2072-4292&client=summon |