{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T20:36:52Z","timestamp":1781901412580,"version":"3.54.5"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41571332"],"award-info":[{"award-number":["41571332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42001279"],"award-info":[{"award-number":["42001279"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013290","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2017YFC0504003-4"],"award-info":[{"award-number":["2017YFC0504003-4"]}],"id":[{"id":"10.13039\/501100013290","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/jstars.2021.3122509","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T20:43:27Z","timestamp":1635281007000},"page":"10953-10963","source":"Crossref","is-referenced-by-count":25,"title":["Combining 3D Radiative Transfer Model and Convolutional Neural Network to Accurately Estimate Forest Canopy Cover From Very High-Resolution Satellite Images"],"prefix":"10.1109","volume":"14","author":[{"given":"Decai","family":"Jin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6601-7882","authenticated-orcid":false,"given":"Jianbo","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huaguo","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8237-7076","authenticated-orcid":false,"given":"Linyuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","first-page":"1","article-title":"Evaluation of MODIS LAI\/FPAR product collection 6. Part 2: Validation and intercomparison","volume":"8","author":"yan","year":"2016","journal-title":"Remote Sens"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3048493"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2016.10.007"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.11.018"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112438"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2401515"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs5062639"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs12020283"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3209811.3212707"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/01431160110040323"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(01)00282-6"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.11.036"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2013.01.013"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0034-4257(95)00253-7"},{"key":"ref60","author":"dimiceli","year":"2011","journal-title":"Annual Global Automated MODIS Vegetation Continuous Fields (MOD44B) at 250m Spatial Resolution For Data Years Beginning Day 65 2000&#x2013;2010 Collection 5 Percent Tree Cover"},{"key":"ref62","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1038\/s41586-019-0912-1","article-title":"Deep learning and process understanding for data-driven earth system science","volume":"566","author":"reichstein","year":"2019","journal-title":"Nature"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2015.10.009"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/rse2.146"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(02)00035-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.010"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2006.09.013"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2010.11.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2015.03.014"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.gsf.2015.07.003"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-020-00392-6"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2015.1084438"},{"key":"ref2","article-title":"Climate Change 2013: The physical science basis. contribution of working group I to the fifth assessment report of ipcc the intergovernmental panel on climate change","author":"stocker","year":"2014"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091338"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2711482"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.11.007"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2010.12.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.11.014"},{"key":"ref23","article-title":"Comparing deep and classical machine learning methods for human activity recognition using wrist accelerometer","author":"gjoreski","year":"2016","journal-title":"Proc the IJCAI-16 Workshop Deep Learn Artif Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111716"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.02.016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5589\/m13-035"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-1127(97)00026-1"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2013.786146"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.5589\/m09-038"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2013.833361"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.01.015"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/f9100623"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.2134\/agronj2003.1314"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.05.010"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.foreco.2005.10.056"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(01)00292-9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs12182925"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2010.03.004"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs70810017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.02.019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1029\/2001JD000751"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2007.02.018"},{"key":"ref17","article-title":"Inter-comparison of SEVIRI\/MSG and MERIS\/ENVISAT biophysical products over Europe and Africa","author":"garc\u00eda-har","year":"2008","journal-title":"Proc 2nd MERIS\/(A)ATSR User Workshop Frascati"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.agrformet.2011.07.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111347"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10113-013-0577-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.14214\/sf.463"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.275.5299.502"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2017.01.015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2016.08.009"},{"key":"ref7","article-title":"Global forest resources assessment updata 2005","year":"2004"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.08.011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/BF02991835"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.80.9.863"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112061"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/rs12040684"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112353"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1080\/01431160903130911"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/rs11222637"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/rs8060501"},{"key":"ref43","first-page":"323","article-title":"Automated analysis of in situ canopy images for the estimation of forest canopy cover","volume":"55","author":"korhonen","year":"2009","journal-title":"Forest Sci"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09585661.pdf?arnumber=9585661","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T21:12:46Z","timestamp":1642453966000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9585661\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3122509","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}