A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series
Saved in:
| Published in | Remote sensing of environment Vol. 194; pp. 303 - 321 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
01.06.2017
|
| Online Access | Get full text |
Cover
Loading…
| Author | Hobart, Geordie W. Hermosilla, Txomin White, Joanne C. Coops, Nicholas C. Wulder, Michael A. |
|---|---|
| Author_xml | – sequence: 1 givenname: Joanne C. surname: White fullname: White, Joanne C. – sequence: 2 givenname: Michael A. surname: Wulder fullname: Wulder, Michael A. – sequence: 3 givenname: Txomin surname: Hermosilla fullname: Hermosilla, Txomin – sequence: 4 givenname: Nicholas C. surname: Coops fullname: Coops, Nicholas C. – sequence: 5 givenname: Geordie W. surname: Hobart fullname: Hobart, Geordie W. |
| BookMark | eNotkM1KAzEUhbOoYKs-gLu8wIy5k0zSWZbiHxTc6DrcZm40pc1Ikqr16Z1R4cC98HHO4luwWRwiMXYNogYB-mZXp0x1I8DUQo5pZ2wuhFSValpzzhY574SAdmlgzr5WPGIJQ_wMPXGM8Yh77t4woSuUwvcv44PnTctPhClPvx8S5cL7kMsxbTG6qdnzRG74oHSaOF9jxB75MYf4yjcjzlh4CQfiedylfMnOPO4zXf3fC_Zyd_u8fqg2T_eP69WmcgqaUgGoTktHCiSqpfLgjQGjnVMSei_aBhrU205qaTphOiIA33nnoZdSC23kBYO_XZeGnBN5-57CAdPJgrCTLruzoy476bJCjmnlD0iXY6c |
| CitedBy_id | crossref_primary_10_1016_j_jag_2023_103403 crossref_primary_10_1080_17538947_2018_1464072 crossref_primary_10_1016_j_rse_2022_112935 crossref_primary_10_1007_s41748_021_00207_8 crossref_primary_10_1016_j_jag_2021_102555 crossref_primary_10_1093_forestry_cpac015 crossref_primary_10_5194_gmd_17_2683_2024 crossref_primary_10_1016_j_foreco_2023_120948 crossref_primary_10_3390_f13122038 crossref_primary_10_1186_s40663_021_00352_6 crossref_primary_10_1002_wsb_1223 crossref_primary_10_3390_f15030470 crossref_primary_10_1007_s10712_024_09833_z crossref_primary_10_3390_f14091887 crossref_primary_10_3390_rs12010129 crossref_primary_10_1016_j_jag_2019_101956 crossref_primary_10_1038_s41598_018_37265_4 crossref_primary_10_1111_gcb_15726 crossref_primary_10_1016_j_isprsjprs_2023_06_002 crossref_primary_10_1016_j_jag_2023_103199 crossref_primary_10_1016_j_isprsjprs_2024_01_008 crossref_primary_10_1016_j_jag_2019_101952 crossref_primary_10_1016_j_jag_2021_102663 crossref_primary_10_3390_rs12091499 crossref_primary_10_1016_j_foreco_2022_120536 crossref_primary_10_1016_j_rse_2018_11_025 crossref_primary_10_3390_rs14133050 crossref_primary_10_1016_j_rse_2018_11_028 crossref_primary_10_1134_S0001433820120567 crossref_primary_10_5558_tfc2019_027 crossref_primary_10_1016_j_jag_2017_07_013 crossref_primary_10_1016_j_rse_2023_113852 crossref_primary_10_1111_rec_14061 crossref_primary_10_4005_jjfs_105_166 crossref_primary_10_1016_j_foreco_2019_117586 crossref_primary_10_1016_j_rse_2023_113529 crossref_primary_10_3390_rs14092199 crossref_primary_10_3390_earth3010006 crossref_primary_10_1126_sciadv_abd6034 crossref_primary_10_1016_j_biocon_2022_109489 crossref_primary_10_1016_j_foreco_2020_118370 crossref_primary_10_1016_j_ecolind_2021_108336 crossref_primary_10_1016_j_rse_2022_112919 crossref_primary_10_3832_ifor4043_015 crossref_primary_10_1186_s40462_021_00286_2 crossref_primary_10_3390_f10020196 crossref_primary_10_5558_tfc2019_017 crossref_primary_10_1016_j_jag_2019_102034 crossref_primary_10_1111_geb_13773 crossref_primary_10_1016_j_rse_2017_12_020 crossref_primary_10_1016_j_rse_2021_112741 crossref_primary_10_1016_j_rse_2021_112502 crossref_primary_10_3390_rs15102667 crossref_primary_10_1111_geb_13406 crossref_primary_10_1080_07038992_2019_1711366 crossref_primary_10_3390_ijgi7110420 crossref_primary_10_1016_j_jag_2019_102029 crossref_primary_10_1016_j_jag_2023_103410 crossref_primary_10_1186_s42408_018_0021_9 crossref_primary_10_3389_ffgc_2020_00090 crossref_primary_10_1038_s43017_019_0001_x crossref_primary_10_1016_j_jag_2021_102636 crossref_primary_10_3390_f12040456 crossref_primary_10_3390_rs13040792 crossref_primary_10_1016_j_foreco_2023_121348 crossref_primary_10_1016_j_foreco_2024_121765 crossref_primary_10_1007_s10021_022_00777_2 crossref_primary_10_3390_rs12233942 crossref_primary_10_1016_j_fecs_2022_100050 crossref_primary_10_3390_rs10081196 crossref_primary_10_1007_s13595_019_0858_3 crossref_primary_10_1093_forestry_cpad024 crossref_primary_10_1016_j_agrformet_2023_109731 crossref_primary_10_1002_ece3_11058 crossref_primary_10_3390_rs13224682 crossref_primary_10_1080_10106049_2022_2153930 crossref_primary_10_3390_rs15061638 crossref_primary_10_1080_15568318_2022_2121670 crossref_primary_10_3390_rs12122056 crossref_primary_10_3389_ffgc_2023_1018936 crossref_primary_10_1002_ecs2_2094 crossref_primary_10_3389_fevo_2020_00001 crossref_primary_10_1016_j_rse_2022_113266 crossref_primary_10_1016_j_rse_2024_114114 crossref_primary_10_3390_rs10060808 crossref_primary_10_1080_10095020_2024_2336599 crossref_primary_10_1016_j_foreco_2019_117459 crossref_primary_10_3390_rs14215419 crossref_primary_10_3390_f14061098 crossref_primary_10_1016_j_srs_2024_100145 crossref_primary_10_1007_s40641_019_00128_9 crossref_primary_10_1088_1748_9326_ac60d6 crossref_primary_10_1371_journal_pone_0197218 crossref_primary_10_1016_j_rse_2022_113151 crossref_primary_10_1016_j_rse_2019_111295 crossref_primary_10_1016_j_rse_2022_113274 crossref_primary_10_1016_j_ecolind_2018_02_008 crossref_primary_10_1088_1748_9326_ab905a crossref_primary_10_3390_f12010008 crossref_primary_10_1016_j_foreco_2022_120292 crossref_primary_10_1109_MGRS_2020_3032713 crossref_primary_10_3390_rs13112033 crossref_primary_10_3390_rs10101622 crossref_primary_10_1016_j_ecolind_2020_106985 crossref_primary_10_1016_j_ecoinf_2023_102304 crossref_primary_10_1016_j_rse_2019_111525 crossref_primary_10_1080_01431161_2021_1899334 crossref_primary_10_1016_j_rse_2019_111403 crossref_primary_10_1016_j_rse_2022_113003 crossref_primary_10_1109_JSTARS_2024_3400218 crossref_primary_10_3390_rs16061086 crossref_primary_10_1016_j_agrformet_2023_109600 crossref_primary_10_1111_1365_2745_13956 crossref_primary_10_1111_gcb_16916 crossref_primary_10_1038_s43247_023_00984_2 crossref_primary_10_1080_15481603_2022_2143690 crossref_primary_10_1016_j_isprsjprs_2017_07_004 crossref_primary_10_1016_j_rse_2021_112780 crossref_primary_10_3390_rs14205158 crossref_primary_10_1016_j_rse_2020_111952 crossref_primary_10_5424_fs_2019281_14221 crossref_primary_10_1002_ecs2_2985 crossref_primary_10_1016_j_rse_2020_112244 crossref_primary_10_1016_j_jag_2019_01_007 crossref_primary_10_1093_forestry_cpad065 crossref_primary_10_34133_remotesensing_0086 crossref_primary_10_1080_15481603_2023_2188674 crossref_primary_10_3389_ffgc_2022_843053 crossref_primary_10_1111_gcb_14804 crossref_primary_10_1007_s10980_019_00921_9 crossref_primary_10_1016_j_jenvman_2018_12_076 crossref_primary_10_1016_j_rse_2017_03_033 crossref_primary_10_3390_rs12020220 crossref_primary_10_1016_j_ecolind_2018_07_050 crossref_primary_10_1016_j_rse_2019_111423 crossref_primary_10_1016_j_rse_2019_111425 crossref_primary_10_1038_s41558_021_01027_4 crossref_primary_10_1016_j_rse_2020_111691 crossref_primary_10_1093_forestry_cpad055 crossref_primary_10_1016_j_foreco_2019_117657 crossref_primary_10_1080_01431161_2018_1479790 crossref_primary_10_5194_hess_23_4269_2019 crossref_primary_10_1016_j_jag_2021_102386 crossref_primary_10_1016_j_rse_2018_08_017 crossref_primary_10_1139_er_2021_0042 crossref_primary_10_1016_j_rse_2022_113195 crossref_primary_10_1186_s13717_024_00520_w crossref_primary_10_3390_rs14030562 crossref_primary_10_3390_rs16061033 crossref_primary_10_1038_s41467_018_08237_z crossref_primary_10_1111_gcb_16567 crossref_primary_10_1016_j_coesh_2021_100251 crossref_primary_10_1080_01431161_2020_1809741 crossref_primary_10_1016_j_rse_2018_08_028 crossref_primary_10_1029_2020RG000726 crossref_primary_10_1109_JSTARS_2021_3085411 crossref_primary_10_1016_j_rse_2021_112470 crossref_primary_10_1088_1748_9326_ac98d7 crossref_primary_10_1016_j_rse_2022_112991 crossref_primary_10_1016_j_rse_2019_02_015 crossref_primary_10_1016_j_jag_2018_06_015 crossref_primary_10_1029_2022MS003480 crossref_primary_10_1016_j_jag_2020_102224 crossref_primary_10_1016_j_rse_2023_113918 crossref_primary_10_3390_f9030151 crossref_primary_10_1080_01431161_2018_1452075 crossref_primary_10_1080_2150704X_2018_1536300 crossref_primary_10_1126_science_aaz7005 crossref_primary_10_1071_WF19201 crossref_primary_10_3390_rs13234745 crossref_primary_10_1007_s40725_020_00116_5 crossref_primary_10_1016_j_ophoto_2023_100034 crossref_primary_10_3390_rs11060603 crossref_primary_10_3390_rs15040923 crossref_primary_10_1139_er_2019_0072 crossref_primary_10_1016_j_foreco_2019_03_064 crossref_primary_10_1111_csp2_12847 crossref_primary_10_1016_j_baae_2018_07_006 crossref_primary_10_1007_s11852_022_00928_6 crossref_primary_10_1139_facets_2020_0049 crossref_primary_10_1016_j_jag_2022_102754 crossref_primary_10_1016_j_rse_2018_07_004 crossref_primary_10_1177_09596836221131711 crossref_primary_10_3390_rs12091464 crossref_primary_10_3390_rs13152869 crossref_primary_10_1038_s41598_024_56943_0 crossref_primary_10_1080_00049158_2023_2288776 crossref_primary_10_1016_j_rse_2024_114194 crossref_primary_10_1016_j_jag_2019_04_010 crossref_primary_10_1038_s41561_019_0427_2 crossref_primary_10_1002_2688_8319_12226 crossref_primary_10_1016_j_rse_2020_111645 crossref_primary_10_1139_facets_2021_0063 crossref_primary_10_1007_s10980_021_01384_7 crossref_primary_10_1071_WF21089 crossref_primary_10_1016_j_rse_2023_113931 crossref_primary_10_1016_j_rse_2018_12_027 crossref_primary_10_1016_j_rse_2022_112904 crossref_primary_10_3390_ijerph182010625 crossref_primary_10_3390_rs10101578 crossref_primary_10_1080_07038992_2020_1788385 crossref_primary_10_1088_1748_9326_abec03 crossref_primary_10_1186_s42408_024_00288_6 crossref_primary_10_1590_2179_8087_033818 crossref_primary_10_1016_j_ecoinf_2020_101064 crossref_primary_10_3390_rs12152412 crossref_primary_10_1016_j_rse_2017_11_007 crossref_primary_10_1038_s41598_022_24833_y crossref_primary_10_1080_10095020_2024_2313329 crossref_primary_10_5194_esd_14_223_2023 crossref_primary_10_1016_j_ecolind_2024_111777 crossref_primary_10_1088_1748_9326_ab5429 crossref_primary_10_3390_f11030362 crossref_primary_10_1080_07038992_2020_1811083 crossref_primary_10_1016_j_rse_2018_07_024 crossref_primary_10_1029_2019RG000652 crossref_primary_10_1175_EI_D_21_0018_1 crossref_primary_10_1007_s13595_020_00936_2 crossref_primary_10_1016_j_jag_2021_102575 crossref_primary_10_1016_j_foreco_2022_120449 crossref_primary_10_1111_tgis_12559 crossref_primary_10_3390_fire6080290 crossref_primary_10_1016_j_catena_2024_108045 crossref_primary_10_1080_07038992_2018_1437719 crossref_primary_10_1080_22797254_2020_1806734 crossref_primary_10_3390_rs12121944 crossref_primary_10_1109_JSTARS_2022_3225070 crossref_primary_10_3390_rs10030460 crossref_primary_10_5194_essd_12_257_2020 crossref_primary_10_1186_s42408_020_00076_y crossref_primary_10_3390_rs10020209 crossref_primary_10_1016_j_ecolind_2023_110366 crossref_primary_10_1088_1748_9326_ab8b11 crossref_primary_10_1080_01431161_2019_1693076 crossref_primary_10_1088_1748_9326_ab79e3 crossref_primary_10_1002_eap_2208 crossref_primary_10_3390_fire5030068 crossref_primary_10_1002_rse2_113 crossref_primary_10_1093_forestry_cpaa006 crossref_primary_10_3390_f12050604 crossref_primary_10_1016_j_rsase_2024_101284 crossref_primary_10_1038_s41598_020_62878_z crossref_primary_10_1029_2022EF003314 crossref_primary_10_1007_s10980_018_0710_4 crossref_primary_10_1088_1748_9326_aad5d2 |
| Cites_doi | 10.1029/2001JD000484 10.1073/pnas.0708133105 10.1016/j.foreco.2007.03.019 10.1080/07038992.2014.945827 10.1029/2008JG000911 10.1016/j.rse.2015.09.004 10.5558/tfc2013-118 10.1016/S0034-4257(97)00048-5 10.1016/j.apgeog.2014.11.016 10.1139/x05-087 10.1071/WF06009 10.1016/j.rse.2014.06.012 10.1023/A:1010933404324 10.1016/j.rse.2011.08.024 10.1016/j.isprsjprs.2011.12.007 10.1016/j.rse.2013.04.022 10.1080/01431160701281072 10.5558/tfc72138-2 10.5589/m08-066 10.1071/WF11026 10.3390/rs6010470 10.3390/f8010015 10.2307/3237263 10.1016/j.rse.2014.02.015 10.1016/j.rse.2014.11.005 10.5558/tfc71074-1 10.1046/j.1365-2486.2003.00658.x 10.1016/j.rse.2011.09.024 10.1016/j.rse.2015.09.001 10.14358/PERS.70.4.451 10.1016/j.foreco.2014.01.031 10.1016/j.foreco.2015.11.015 10.1126/science.320.5879.1011a 10.1080/07038992.2014.987376 10.3390/f6114105 10.1046/j.0022-0477.2001.00646.x 10.1016/j.rse.2013.05.033 10.1016/j.rse.2006.01.011 10.1139/x03-183 10.1016/j.ecolmodel.2009.03.011 10.1016/j.rse.2015.09.015 10.1016/j.rse.2015.11.032 10.1016/j.foreco.2015.10.042 10.1111/j.1365-2486.2011.02543.x 10.1111/j.1365-2486.2010.02369.x 10.1016/j.ecolind.2015.11.026 10.1016/j.rse.2010.07.008 10.1139/cjfr-2015-0517 10.1016/j.rse.2015.09.019 10.1139/x00-025 10.1139/x05-060 10.1016/j.rse.2011.01.022 10.1139/x99-073 10.5558/tfc83539-4 10.1641/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2 10.1016/j.rse.2011.09.009 10.1016/j.rse.2015.08.020 10.1016/j.rse.2011.06.026 10.1016/j.rse.2015.03.004 10.3390/rs4061600 10.1016/j.rse.2016.02.060 10.1080/17538947.2016.1187673 10.1016/j.rse.2004.12.011 10.1007/s10021-014-9763-7 10.1007/s10661-011-2228-y 10.1080/2150704X.2015.1126375 10.1016/j.rse.2005.05.009 10.1016/j.rse.2014.11.027 10.1016/j.rse.2009.03.004 10.1007/s10310-011-0264-7 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2 10.1080/01431168608954695 10.1016/j.rse.2011.02.025 10.1126/science.1244693 10.1111/gcb.12194 10.1016/j.rse.2005.12.006 10.1016/j.rse.2008.02.010 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.rse.2017.03.035 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography Geology Environmental Sciences |
| EndPage | 321 |
| ExternalDocumentID | 10_1016_j_rse_2017_03_035 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 123 1B1 1RT 1~. 1~5 29P 4.4 41~ 457 4G. 53G 5VS 6TJ 7-5 71M 8P~ 9JM 9JN AABNK AACTN AAEDT AAEDW AAHBH AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXKI AAXUO AAYXX ABEFU ABFNM ABFYP ABJNI ABLST ABMAC ABPPZ ABQEM ABQYD ABXDB ACDAQ ACGFS ACIWK ACLVX ACPRK ACRLP ACSBN ADBBV ADEZE ADMUD ADVLN AEBSH AEKER AENEX AFFNX AFJKZ AFKWA AFRAH AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJOXV AKIFW AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ASPBG ATOGT AVWKF AXJTR AZFZN BKOJK BLECG BLXMC CITATION CS3 DU5 EBS EFJIC EJD EO8 EO9 EP2 EP3 FA8 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q G8K GBLVA HMA HMC HVGLF HZ~ H~9 IHE IMUCA J1W KCYFY KOM LY3 LY9 M41 MO0 N9A O-L O9- OAUVE OHT OZT P-8 P-9 P2P PC. Q38 R2- RIG RNS ROL RPZ SDF SDG SDP SEN SEP SES SEW SPC SPCBC SSE SSJ SSZ T5K TN5 TWZ VOH WH7 WUQ XOL ZCA ZMT ~02 ~G- ~KM |
| ID | FETCH-LOGICAL-c412t-114963ce413a484f1f77176cc431df05212a6b936379079ee11f9fcf1d3360673 |
| ISSN | 0034-4257 |
| IngestDate | Thu Sep 26 16:31:14 EDT 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c412t-114963ce413a484f1f77176cc431df05212a6b936379079ee11f9fcf1d3360673 |
| OpenAccessLink | https://doi.org/10.1016/j.rse.2017.03.035 |
| PageCount | 19 |
| ParticipantIDs | crossref_primary_10_1016_j_rse_2017_03_035 |
| PublicationCentury | 2000 |
| PublicationDate | 2017-06-01 |
| PublicationDateYYYYMMDD | 2017-06-01 |
| PublicationDate_xml | – month: 06 year: 2017 text: 2017-06-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Remote sensing of environment |
| PublicationYear | 2017 |
| References | Hermosilla (10.1016/j.rse.2017.03.035_bb0165) 2015; 158 Wulder (10.1016/j.rse.2017.03.035_bb0430) 2016; 185 Cohen (10.1016/j.rse.2017.03.035_bb0060) 2004; 54 Veraverbeke (10.1016/j.rse.2017.03.035_bb0375) 2012; 68 Gutsell (10.1016/j.rse.2017.03.035_bb0140) 2002; 90 Zhao (10.1016/j.rse.2017.03.035_bb0435) 2005; 95 Olofsson (10.1016/j.rse.2017.03.035_bb0305) 2014; 148 Chu (10.1016/j.rse.2017.03.035_bb0050) 2014; 6 Healey (10.1016/j.rse.2017.03.035_bb0155) 2005; 97 Magnussen (10.1016/j.rse.2017.03.035_bb0275) 2012; 4 Meigs (10.1016/j.rse.2017.03.035_bb0300) 2011; 115 Kennedy (10.1016/j.rse.2017.03.035_bb0220) 2010; 114 Frolking (10.1016/j.rse.2017.03.035_bb0110) 2009; 114 Lehmann (10.1016/j.rse.2017.03.035_bb0255) 2012; 21 Buma (10.1016/j.rse.2017.03.035_bb0035) 2012; 184 Gillis (10.1016/j.rse.2017.03.035_bb0115) 1996; 72 Lavoie (10.1016/j.rse.2017.03.035_bb0245) 1998; 9 Cohen (10.1016/j.rse.2017.03.035_bb0065) 2010; 114 Banskota (10.1016/j.rse.2017.03.035_bb0015) 2014; 40 Fraser (10.1016/j.rse.2017.03.035_bb0100) 2004; 70 McKenney (10.1016/j.rse.2017.03.035_bb0295) 2013; 89 DeVries (10.1016/j.rse.2017.03.035_bb0080) 2015; 169 Wulder (10.1016/j.rse.2017.03.035_bb0425) 2015; 170 Hansen (10.1016/j.rse.2017.03.035_bb0145) 2012; 122 Senf (10.1016/j.rse.2017.03.035_bb0355) 2015; 170 Magnussen (10.1016/j.rse.2017.03.035_bb0270) 2012; 21 Horler (10.1016/j.rse.2017.03.035_bb0195) 1986; 7 Kennedy (10.1016/j.rse.2017.03.035_bb0225) 2012; 122 Wulder (10.1016/j.rse.2017.03.035_bb0420) 2009; 113 Gómez (10.1016/j.rse.2017.03.035_bb0130) 2011; 115 10.1016/j.rse.2017.03.035_bb0040 10.1016/j.rse.2017.03.035_bb0085 LePage (10.1016/j.rse.2017.03.035_bb0260) 2014; 318 Schroeder (10.1016/j.rse.2017.03.035_bb0335) 2007; 243 Chu (10.1016/j.rse.2017.03.035_bb0055) 2016; 62 Bartels (10.1016/j.rse.2017.03.035_bb0020) 2016; 361 Bolton (10.1016/j.rse.2017.03.035_bb0025) 2015; 163 Healey (10.1016/j.rse.2017.03.035_bb0160) 2006; 101 Johnstone (10.1016/j.rse.2017.03.035_bb0210) 2005; 35 Griffiths (10.1016/j.rse.2017.03.035_bb0135) 2014; 151 Madoui (10.1016/j.rse.2017.03.035_bb0265) 2015; 6 Hicke (10.1016/j.rse.2017.03.035_bb0185) 2012; 18 Vogelmann (10.1016/j.rse.2017.03.035_bb0395) 2016; 185 Ireland (10.1016/j.rse.2017.03.035_bb0200) 2015; 56 Pickell (10.1016/j.rse.2017.03.035_bb0325) 2016; 37 Goetz (10.1016/j.rse.2017.03.035_bb0125) 2006; 101 Leckie (10.1016/j.rse.2017.03.035_bb0250) 1995; 71 Stinson (10.1016/j.rse.2017.03.035_bb0365) 2011; 17 Veraverbeke (10.1016/j.rse.2017.03.035_bb0380) 2012; 14 Amiro (10.1016/j.rse.2017.03.035_bb0005) 2000; 30 Hermosilla (10.1016/j.rse.2017.03.035_bb0175) 2016 Pan (10.1016/j.rse.2017.03.035_bb0310) 2010; 7 Hofgaard (10.1016/j.rse.2017.03.035_bb0190) 1999; 29 Masek (10.1016/j.rse.2017.03.035_bb0285) 2008; 112 Potapov (10.1016/j.rse.2017.03.035_bb0330) 2015; 159 Key (10.1016/j.rse.2017.03.035_bb0235) 2006 Vila (10.1016/j.rse.2017.03.035_bb0390) 2010; 221 Johnstone (10.1016/j.rse.2017.03.035_bb0215) 2004; 34 Breiman (10.1016/j.rse.2017.03.035_bb0030) 2001; 45 Parisien (10.1016/j.rse.2017.03.035_bb0315) 2006; 15 Epting (10.1016/j.rse.2017.03.035_bb0090) 2005; 35 Jarron (10.1016/j.rse.2017.03.035_bb0205) 2017; 8 Canadian Forest Service (10.1016/j.rse.2017.03.035_bb0045) 2015 Hermosilla (10.1016/j.rse.2017.03.035_bb0170) 2015; 170 Seedre (10.1016/j.rse.2017.03.035_bb0345) 2011; 16 Dale (10.1016/j.rse.2017.03.035_bb0075) 2001; 51 Wulder (10.1016/j.rse.2017.03.035_bb0410) 2007; 83 Frazier (10.1016/j.rse.2017.03.035_bb0105) 2015; 170 White (10.1016/j.rse.2017.03.035_bb0400) 2014; 40 Keogh (10.1016/j.rse.2017.03.035_bb0230) 2001 Viedma (10.1016/j.rse.2017.03.035_bb0385) 1997; 61 Woodcock (10.1016/j.rse.2017.03.035_bb0405) 2008; 320 Masek (10.1016/j.rse.2017.03.035_bb0290) 2011; 116 Seedre (10.1016/j.rse.2017.03.035_bb0350) 2014; 17 Gitas (10.1016/j.rse.2017.03.035_bb0120) 2012 Kurz (10.1016/j.rse.2017.03.035_bb0240) 2008; 105 Schroeder (10.1016/j.rse.2017.03.035_bb0340) 2011; 115 Stocks (10.1016/j.rse.2017.03.035_bb0370) 2002; 108 Anderson-Teixeira (10.1016/j.rse.2017.03.035_bb0010) 2013; 19 Pflugmacher (10.1016/j.rse.2017.03.035_bb0320) 2014; 151 Cohen (10.1016/j.rse.2017.03.035_bb0070) 2016; 360 Markham (10.1016/j.rse.2017.03.035_bb0280) 2012; 122 Hicke (10.1016/j.rse.2017.03.035_bb0180) 2003; 9 Wulder (10.1016/j.rse.2017.03.035_bb0415) 2008; 34 Hansen (10.1016/j.rse.2017.03.035_bb0150) 2013; 342 Zhu (10.1016/j.rse.2017.03.035_bb9900) 2014; 152 Escuin (10.1016/j.rse.2017.03.035_bb0095) 2008; 29 Slesak (10.1016/j.rse.2017.03.035_bb0360) 2016; 46 |
| References_xml | – volume: 108 start-page: 8149 year: 2002 ident: 10.1016/j.rse.2017.03.035_bb0370 article-title: Large forest fires in Canada, 1959–1997 publication-title: J. Geophys. Res. doi: 10.1029/2001JD000484 contributor: fullname: Stocks – volume: 105 start-page: 1551 issue: 5 year: 2008 ident: 10.1016/j.rse.2017.03.035_bb0240 article-title: Risk of natural disturbances makes future contribution of Canada's forests to the global carbon cycle highly uncertain publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0708133105 contributor: fullname: Kurz – volume: 21 start-page: 453 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0255 article-title: Forest cover trends from time series Landsat data for the Australian continent publication-title: Int. J. Appl. Earth Obs. Geoinf. contributor: fullname: Lehmann – volume: 243 start-page: 259 year: 2007 ident: 10.1016/j.rse.2017.03.035_bb0335 article-title: Patterns of forest regrowth following clearcutting in western Oregon as determined from Landsat time-series publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2007.03.019 contributor: fullname: Schroeder – volume: 40 start-page: 192 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0400 article-title: Pixel-based image compositing for large-area dense time series applications and science publication-title: Can. J. Remote. Sens. doi: 10.1080/07038992.2014.945827 contributor: fullname: White – volume: 114 start-page: 1 year: 2009 ident: 10.1016/j.rse.2017.03.035_bb0110 article-title: Forest disturbance and recovery: a general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure publication-title: J. Geophys. Res. doi: 10.1029/2008JG000911 contributor: fullname: Frolking – volume: 170 start-page: 121 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0170 article-title: Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.09.004 contributor: fullname: Hermosilla – volume: 89 start-page: 659 year: 2013 ident: 10.1016/j.rse.2017.03.035_bb0295 article-title: Spatial climate models for Canada's forestry community publication-title: For. Chron. doi: 10.5558/tfc2013-118 contributor: fullname: McKenney – year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0120 article-title: Advances in remote sensing of post-fire vegetation recovery monitoring—a review. Chapter 7 contributor: fullname: Gitas – volume: 61 start-page: 383 year: 1997 ident: 10.1016/j.rse.2017.03.035_bb0385 article-title: Modeling rates of ecosystem recovery after fires by using Landsat TM data publication-title: Remote Sens. Environ. doi: 10.1016/S0034-4257(97)00048-5 contributor: fullname: Viedma – volume: 56 start-page: 232 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0200 article-title: Exploring the relationships between post-fire vegetation regeneration dynamics, topography and burn severity: a case study from the Montane Cordillera Ecozones of Western Canada publication-title: Appl. Geogr. doi: 10.1016/j.apgeog.2014.11.016 contributor: fullname: Ireland – volume: 35 start-page: 2151 year: 2005 ident: 10.1016/j.rse.2017.03.035_bb0210 article-title: Stand-level effects of soil burn severity on postfire regeneration in a recently burned black spruce forest publication-title: Can. J. For. Res. doi: 10.1139/x05-087 contributor: fullname: Johnstone – volume: 15 start-page: 361 year: 2006 ident: 10.1016/j.rse.2017.03.035_bb0315 article-title: Spatial patterns of forest fires in Canada, 1980–1999 publication-title: Int. J. Wildland Fire doi: 10.1071/WF06009 contributor: fullname: Parisien – volume: 152 start-page: 217 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb9900 article-title: Automated cloud, cloud shadow, and snow detection inmultitemporal Landsat data: an algorithm designed specifically for monitoring landcover change publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.06.012 contributor: fullname: Zhu – volume: 7 start-page: 979 year: 2010 ident: 10.1016/j.rse.2017.03.035_bb0310 article-title: Age structure and disturbance legacy of North American forests publication-title: Biogeosci. Discuss. contributor: fullname: Pan – volume: 45 start-page: 5 issue: 1 year: 2001 ident: 10.1016/j.rse.2017.03.035_bb0030 article-title: Random forests publication-title: Mach. Learn. doi: 10.1023/A:1010933404324 contributor: fullname: Breiman – volume: 122 start-page: 66 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0145 article-title: A review of large area monitoring of land cover change using Landsat data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.08.024 contributor: fullname: Hansen – ident: 10.1016/j.rse.2017.03.035_bb0085 – volume: 68 start-page: 28 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0375 article-title: Assessing post-fire vegetation recovery using red-near infrared vegetation indices: accounting for background and vegetation variability publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2011.12.007 contributor: fullname: Veraverbeke – volume: 151 start-page: 72 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0135 article-title: Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2013.04.022 contributor: fullname: Griffiths – volume: 29 start-page: 1053 year: 2008 ident: 10.1016/j.rse.2017.03.035_bb0095 article-title: Fire severity assessment by using NBR (normalized Burn ratio) and NDVI (normalized difference vegetation index) derived from Landsat TM/ETM images publication-title: Int. J. Remote Sens. doi: 10.1080/01431160701281072 contributor: fullname: Escuin – volume: 72 start-page: 138 issue: 2 year: 1996 ident: 10.1016/j.rse.2017.03.035_bb0115 article-title: Forest inventory update in Canada publication-title: For. Chron. doi: 10.5558/tfc72138-2 contributor: fullname: Gillis – volume: 34 start-page: 549 year: 2008 ident: 10.1016/j.rse.2017.03.035_bb0415 article-title: Monitoring Canada's forests. Part 1: completion of the EOSD land cover project publication-title: Can. J. Remote. Sens. doi: 10.5589/m08-066 contributor: fullname: Wulder – volume: 21 start-page: 328 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0270 article-title: Inter- and intra-annual profiles of fire regimes in the managed forests of Canada and implications for resource sharing publication-title: Int. J. Wildland Fire doi: 10.1071/WF11026 contributor: fullname: Magnussen – volume: 6 start-page: 470 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0050 article-title: Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: A review publication-title: Remote Sens. doi: 10.3390/rs6010470 contributor: fullname: Chu – volume: 8 issue: 1 year: 2017 ident: 10.1016/j.rse.2017.03.035_bb0205 article-title: Differentiation of alternate harvesting practices using annual time series of Landsat data publication-title: Forests doi: 10.3390/f8010015 contributor: fullname: Jarron – volume: 9 start-page: 483 year: 1998 ident: 10.1016/j.rse.2017.03.035_bb0245 article-title: Vegetation changes caused by recent fires in the northern boreal forest of eastern Canada publication-title: J. Veg. Sci. doi: 10.2307/3237263 contributor: fullname: Lavoie – volume: 148 start-page: 42 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0305 article-title: Good practices for estimating area and assessing accuracy of land change publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.02.015 contributor: fullname: Olofsson – volume: 158 start-page: 220 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0165 article-title: An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.11.005 contributor: fullname: Hermosilla – volume: 71 start-page: 74 issue: 1 year: 1995 ident: 10.1016/j.rse.2017.03.035_bb0250 article-title: Forest inventory in Canada with an emphasis on map production publication-title: For. Chron. doi: 10.5558/tfc71074-1 contributor: fullname: Leckie – ident: 10.1016/j.rse.2017.03.035_bb0040 – volume: 9 start-page: 1145 year: 2003 ident: 10.1016/j.rse.2017.03.035_bb0180 article-title: Postfire response of North American boreal forest net primary productivity analyzed with satellite observations publication-title: Glob. Chang. Biol. doi: 10.1046/j.1365-2486.2003.00658.x contributor: fullname: Hicke – start-page: 289 year: 2001 ident: 10.1016/j.rse.2017.03.035_bb0230 contributor: fullname: Keogh – volume: 122 start-page: 117 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0225 article-title: Spatial and temporal patterns of Forest disturbance and regrowth within the area of the northwest forest plan publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.09.024 contributor: fullname: Kennedy – volume: 170 start-page: 62 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0425 article-title: Virtual constellations for global terrestrial monitoring publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.09.001 contributor: fullname: Wulder – year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0045 contributor: fullname: Canadian Forest Service – volume: 70 start-page: 451 year: 2004 ident: 10.1016/j.rse.2017.03.035_bb0100 article-title: Validation and calibration of Canada-wide coarse resolution satellite burned-area maps publication-title: Photogramm. Eng. Remote. Sens. doi: 10.14358/PERS.70.4.451 contributor: fullname: Fraser – volume: 318 start-page: 250 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0260 article-title: Long term recovery of forest sturcture and composition after harvesting in the coastal temperate rainforests of northern British Columbia publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2014.01.031 contributor: fullname: LePage – volume: 361 start-page: 194 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0020 article-title: Trends in post-disturbance recovery rates of Canada's forests following wildfire and harvest publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2015.11.015 contributor: fullname: Bartels – volume: 320 start-page: 1011 issue: 5879 year: 2008 ident: 10.1016/j.rse.2017.03.035_bb0405 article-title: Free access to Landsat imagery publication-title: Science doi: 10.1126/science.320.5879.1011a contributor: fullname: Woodcock – volume: 40 start-page: 362 issue: 5 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0015 article-title: Forest monitoring using Landsat time-series data: A review publication-title: Can. J. Remote. Sens. doi: 10.1080/07038992.2014.987376 contributor: fullname: Banskota – volume: 6 start-page: 4105 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0265 article-title: Monitoring forest recovery following wildfire and harvest in boreal forests using satellite imagery publication-title: Forests doi: 10.3390/f6114105 contributor: fullname: Madoui – volume: 116 year: 2011 ident: 10.1016/j.rse.2017.03.035_bb0290 article-title: Recent rates of forest harvest and conversion in North America publication-title: J. Geol. Geophys. contributor: fullname: Masek – volume: 90 start-page: 153 year: 2002 ident: 10.1016/j.rse.2017.03.035_bb0140 article-title: Accurately ageing trees and examining their height-growth rates: implications for interpreting forest dynamics publication-title: J. Ecol. doi: 10.1046/j.0022-0477.2001.00646.x contributor: fullname: Gutsell – volume: 151 start-page: 124 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0320 article-title: Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2013.05.033 contributor: fullname: Pflugmacher – volume: 101 start-page: 352 year: 2006 ident: 10.1016/j.rse.2017.03.035_bb0125 article-title: Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2006.01.011 contributor: fullname: Goetz – volume: 34 start-page: 267 year: 2004 ident: 10.1016/j.rse.2017.03.035_bb0215 article-title: Decadal observations of tree regeneration following fire in boreal forests publication-title: Can. J. For. Res. doi: 10.1139/x03-183 contributor: fullname: Johnstone – volume: 221 start-page: 75 year: 2010 ident: 10.1016/j.rse.2017.03.035_bb0390 article-title: Post-fire vegetation regrowth detection in the Deiva Marina region (Liguria-Italy) using Landsat TM and ETM+ data publication-title: Ecol. Model. doi: 10.1016/j.ecolmodel.2009.03.011 contributor: fullname: Vila – volume: 170 start-page: 317 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0105 article-title: Boreal shield forest disturbance and recovery trends using Landsat time series publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.09.015 contributor: fullname: Frazier – volume: 185 start-page: 271 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0430 article-title: The Global Landsat Archive: Status, Consolidation, and Direction publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.11.032 contributor: fullname: Wulder – volume: 360 start-page: 242 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0070 article-title: Forest disturbance across the conterminous United States from 1985–2012: the emerging dominance of forest decline publication-title: For. Ecol. Manag. doi: 10.1016/j.foreco.2015.10.042 contributor: fullname: Cohen – year: 2006 ident: 10.1016/j.rse.2017.03.035_bb0235 article-title: Landscape Assessment (LA). FIREMON: Fire effects monitoring and inventory system contributor: fullname: Key – volume: 18 start-page: 7 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0185 article-title: Effects of biotic disturbances on forest carbon cycling in the United States and Canada publication-title: Glob. Chang. Biol. doi: 10.1111/j.1365-2486.2011.02543.x contributor: fullname: Hicke – volume: 17 start-page: 2227 year: 2011 ident: 10.1016/j.rse.2017.03.035_bb0365 article-title: An inventory-based analysis of Canada's managed forest carbon dynamics, 1990 to 2008 publication-title: Glob. Chang. Biol. doi: 10.1111/j.1365-2486.2010.02369.x contributor: fullname: Stinson – volume: 62 start-page: 32 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0055 article-title: Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2015.11.026 contributor: fullname: Chu – volume: 114 start-page: 2911 year: 2010 ident: 10.1016/j.rse.2017.03.035_bb0065 contributor: fullname: Cohen – volume: 114 start-page: 2897 year: 2010 ident: 10.1016/j.rse.2017.03.035_bb0220 article-title: Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2010.07.008 contributor: fullname: Kennedy – volume: 46 start-page: 869 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0360 article-title: Using lidar to assess impacts of forest harvest landings on vegetation height by harvest season and the potential for recovery over time publication-title: Can. J. For. Res. doi: 10.1139/cjfr-2015-0517 contributor: fullname: Slesak – volume: 170 start-page: 166 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0355 article-title: Characterizing spectral–temporal patterns of defoliator and bark beetle disturbances using Landsat time series publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.09.019 contributor: fullname: Senf – volume: 30 start-page: 939 year: 2000 ident: 10.1016/j.rse.2017.03.035_bb0005 article-title: Net primary productivity following forest fire for Canadian ecoregions publication-title: Can. J. For. Res. doi: 10.1139/x00-025 contributor: fullname: Amiro – volume: 35 start-page: 1367 year: 2005 ident: 10.1016/j.rse.2017.03.035_bb0090 article-title: Landscape-level interactions of prefire vegetation, burn severity, and postfire vegetation over a 16-year period in interior Alaska publication-title: Can. J. For. Res. doi: 10.1139/x05-060 contributor: fullname: Epting – volume: 115 start-page: 1421 year: 2011 ident: 10.1016/j.rse.2017.03.035_bb0340 article-title: Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.01.022 contributor: fullname: Schroeder – volume: 29 start-page: 1333 year: 1999 ident: 10.1016/j.rse.2017.03.035_bb0190 article-title: Dendroclimatic response of Picea mariana and Pinus banksiana along a latitudinal gradient in the eastern Canadian boreal forest publication-title: Can. J. For. Res. doi: 10.1139/x99-073 contributor: fullname: Hofgaard – volume: 83 start-page: 539 year: 2007 ident: 10.1016/j.rse.2017.03.035_bb0410 article-title: National circumstances in the international circumboreal community publication-title: For. Chron. doi: 10.5558/tfc83539-4 contributor: fullname: Wulder – volume: 54 start-page: 535 year: 2004 ident: 10.1016/j.rse.2017.03.035_bb0060 article-title: Landsat's role in ecological applications of remote sensing publication-title: Bioscience doi: 10.1641/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2 contributor: fullname: Cohen – volume: 115 start-page: 3707 year: 2011 ident: 10.1016/j.rse.2017.03.035_bb0300 article-title: A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.09.009 contributor: fullname: Meigs – volume: 169 start-page: 320 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0080 article-title: Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.08.020 contributor: fullname: DeVries – volume: 122 start-page: 30 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0280 article-title: Forty-year calibrated record of earth-reflected radiance from Landsat: a review publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.06.026 contributor: fullname: Markham – volume: 163 start-page: 48 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0025 article-title: Characterizing residual structure and forest recovery following high-severity fire in the western boreal of Canada using Landsat time-series and airborne LiDAR data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2015.03.004 contributor: fullname: Bolton – volume: 4 start-page: 1600 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0275 article-title: Post-fire canopy height recovery in Canada's boreal forests using airborne laser scanning data publication-title: Remote Sens. doi: 10.3390/rs4061600 contributor: fullname: Magnussen – volume: 185 start-page: 258 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0395 article-title: Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.02.060 contributor: fullname: Vogelmann – year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0175 article-title: Mass data processing of time series Landsat imagery: pixels to data products publication-title: Int. J. Digital Earth doi: 10.1080/17538947.2016.1187673 contributor: fullname: Hermosilla – volume: 95 start-page: 164 issue: 2 year: 2005 ident: 10.1016/j.rse.2017.03.035_bb0435 article-title: Improvements of the MODIS terrestrial gross and net primary production global data set publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2004.12.011 contributor: fullname: Zhao – volume: 17 start-page: 851 year: 2014 ident: 10.1016/j.rse.2017.03.035_bb0350 article-title: Recovery of ecosystem carbon stocks in young boreal forests: a comparison of harvesting and wildfire disturbance publication-title: Ecosystems doi: 10.1007/s10021-014-9763-7 contributor: fullname: Seedre – volume: 184 start-page: 3849 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0035 article-title: Evaluating the utility and seasonality of NDVI values for assessing post-disturbance recovery in a subalpine forest publication-title: Environ. Monit. Assess. doi: 10.1007/s10661-011-2228-y contributor: fullname: Buma – volume: 37 start-page: 138 year: 2016 ident: 10.1016/j.rse.2017.03.035_bb0325 article-title: Forest recovery trends derived from Landsat time series for North American boreal forests publication-title: Int. J. Remote Sens. doi: 10.1080/2150704X.2015.1126375 contributor: fullname: Pickell – volume: 97 start-page: 301 year: 2005 ident: 10.1016/j.rse.2017.03.035_bb0155 article-title: Comparison of tasseled cap-based Landsat data structures for use in forest disturbance detection publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2005.05.009 contributor: fullname: Healey – volume: 159 start-page: 28 year: 2015 ident: 10.1016/j.rse.2017.03.035_bb0330 article-title: Eastern Europe's forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.11.027 contributor: fullname: Potapov – volume: 113 start-page: 1540 year: 2009 ident: 10.1016/j.rse.2017.03.035_bb0420 article-title: Characterizing boreal forest wildfire with multi-temporal Landsat and LiDAR data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2009.03.004 contributor: fullname: Wulder – volume: 16 start-page: 168 year: 2011 ident: 10.1016/j.rse.2017.03.035_bb0345 article-title: Carbon dynamics of North American boreal forest after stand replacing wildfire and clearcut logging publication-title: J. For. Res. doi: 10.1007/s10310-011-0264-7 contributor: fullname: Seedre – volume: 51 start-page: 723 year: 2001 ident: 10.1016/j.rse.2017.03.035_bb0075 article-title: Climate change and forest disturbances publication-title: Bioscience doi: 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2 contributor: fullname: Dale – volume: 7 start-page: 405 year: 1986 ident: 10.1016/j.rse.2017.03.035_bb0195 article-title: Forestry information content of Thematic Mapper data publication-title: Int. J. Remote Sens. doi: 10.1080/01431168608954695 contributor: fullname: Horler – volume: 115 start-page: 1665 year: 2011 ident: 10.1016/j.rse.2017.03.035_bb0130 article-title: Characterizing the state and processes of change in a dynamic forest environment using hierarchical spatio-temporal segmentation publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2011.02.025 contributor: fullname: Gómez – volume: 342 start-page: 850 year: 2013 ident: 10.1016/j.rse.2017.03.035_bb0150 article-title: High-resolution global maps of 21st-century forest cover change publication-title: Science doi: 10.1126/science.1244693 contributor: fullname: Hansen – volume: 19 start-page: 2001 year: 2013 ident: 10.1016/j.rse.2017.03.035_bb0010 article-title: Altered dynamics of forest recovery under a changing climate publication-title: Glob. Chang. Biol. doi: 10.1111/gcb.12194 contributor: fullname: Anderson-Teixeira – volume: 101 start-page: 115 year: 2006 ident: 10.1016/j.rse.2017.03.035_bb0160 article-title: Application of two regression-based methods to estimate the effects of partial harvest on forest structure using Landsat data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2005.12.006 contributor: fullname: Healey – volume: 112 start-page: 2914 year: 2008 ident: 10.1016/j.rse.2017.03.035_bb0285 article-title: North American forest disturbance mapped from a decadal Landsat record publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2008.02.010 contributor: fullname: Masek – volume: 14 start-page: 1 year: 2012 ident: 10.1016/j.rse.2017.03.035_bb0380 article-title: Spectral mixture analysis to assess post-fire vegetation regeneration using Landsat Thematic Mapper imagery: accounting for soil brightness variation publication-title: Int. J. Appl. Earth Obs. Geoinf. contributor: fullname: Veraverbeke |
| SSID | ssj0015871 |
| Score | 2.6592078 |
| SourceID | crossref |
| SourceType | Aggregation Database |
| StartPage | 303 |
| Title | A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series |
| Volume | 194 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9swEBdZx9heRpetdJ_oYU8zDpElS_ZjCF1DGXtqoW9GtiVIWeNSJ_Tjof9K_9WdPiy72QrrIBjjS4SV-3F3kn53h9BXRsFNl-U01hqWq4yyJJZKZjFnhClGqVS1rfb5ky9O2NFpejoa3Q9YS5t1Oalu_5pX8j9ahWegV5Ml-wTNhkHhAdyDfuEKGobrP-l4Frm9vKtlbU4BbKX8KlRgvg3RYJJGN4Boy9qAIBUcgTmYAWdThoQBszCG-Tv6pi1ZIKON3Uf4YZKBTcrj8lxFZlqeddhV9VagbCNYtZ5APcid602-b8N31MBrqmg-CZLNr9qhxhP4o1mQLcBrNK1pi2RRdd2cLwOU503jjjAAymZ53nZj-h0MInqmVWeVKYuN7XhglXM2sKt0Sgcumrqk6j-sv9uIOJtctqYAKhG2fK2rhvKw0vaWBwy8xI7ydlbAEIUZophS-KTP0PMELJnhDE7uAoeIpJlwLRn9BLpjc0sg3HqLQeAziGCOd9Frv_TAM4ejN2ikVmO0d9BrC4Te1Ldj9PJQ-WrmY_Ti0PZ_vnmLrme4hxx2kMPbkMONxkmKLeTMvYMcHkAOflnjDnJGjh3ksIUc9pDDBnLYQe4dOvl-cDxfxL55R1wxkqxjWGeDba8UBEmSZUwTLQQRvKogYq21TRmXvMwppyKfilwpQnSuK01qSrnpnrSHdlbNSu0jLDTPKio5CAirqZQ0SeuEUZlBcJxy9R596_7Z4sLVaCke1eSHp3z5I3rVA_YT2llfbtRnCELX5RcLhN_z7Ils |
| link.rule.ids | 315,783,787,27938,27939 |
| linkProvider | Elsevier |
| 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=A+nationwide+annual+characterization+of+25+years+of+forest+disturbance+and+recovery+for+Canada+using+Landsat+time+series&rft.jtitle=Remote+sensing+of+environment&rft.au=White%2C+Joanne+C.&rft.au=Wulder%2C+Michael+A.&rft.au=Hermosilla%2C+Txomin&rft.au=Coops%2C+Nicholas+C.&rft.date=2017-06-01&rft.issn=0034-4257&rft.volume=194&rft.spage=303&rft.epage=321&rft_id=info:doi/10.1016%2Fj.rse.2017.03.035&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_rse_2017_03_035 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0034-4257&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0034-4257&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0034-4257&client=summon |