{"id":"https://openalex.org/W3129615747","doi":"https://doi.org/10.1109/igarss39084.2020.9324242","title":"Extending Stochastic Radiative Transfer Theory to Simulate BRF Over Forests Containing Trees with Heterogeneous Damaged Foliage","display_name":"Extending Stochastic Radiative Transfer Theory to Simulate BRF Over Forests Containing Trees with Heterogeneous Damaged Foliage","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129615747","doi":"https://doi.org/10.1109/igarss39084.2020.9324242","mag":"3129615747"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023188161","display_name":"Xiaoyao Li","orcid":"https://orcid.org/0000-0002-4600-1215"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyao Li","raw_affiliation_strings":["Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024452060","display_name":"Huaguo Huang","orcid":"https://orcid.org/0000-0001-9355-2338"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaguo Huang","raw_affiliation_strings":["Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063669501","display_name":"Nikolay V. Shabanov","orcid":"https://orcid.org/0000-0003-2665-4523"},"institutions":[{"id":"https://openalex.org/I2800895607","display_name":"Space Research Institute","ror":"https://ror.org/04ryvdf08","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2800895607","https://openalex.org/I4210096333"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay V. Shabanov","raw_affiliation_strings":["Space Research Institute, Russian Academy of Sciences, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Space Research Institute, Russian Academy of Sciences, Moscow, Russia","institution_ids":["https://openalex.org/I2800895607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065395111","display_name":"Kai Yan","orcid":"https://orcid.org/0000-0003-4262-1772"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yan","raw_affiliation_strings":["School of Land Science and Technology, China University of Geosciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Land Science and Technology, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023188161"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14325257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"4614","last_page":"4617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11796","display_name":"Horticultural and Viticultural Research","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.8071436285972595},{"id":"https://openalex.org/keywords/crown","display_name":"Crown (dentistry)","score":0.6681418418884277},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.6242458820343018},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5811359286308289},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5680407285690308},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5641151070594788},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4960530698299408},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.47332462668418884},{"id":"https://openalex.org/keywords/atmospheric-radiative-transfer-codes","display_name":"Atmospheric radiative transfer codes","score":0.4682924151420593},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.45946216583251953},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4162040054798126},{"id":"https://openalex.org/keywords/tree-canopy","display_name":"Tree canopy","score":0.4153885841369629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3720463514328003},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.3307037949562073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28853973746299744},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23813435435295105},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.17311212420463562},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15132036805152893},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1384282112121582},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12421485781669617},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10341566801071167}],"concepts":[{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.8071436285972595},{"id":"https://openalex.org/C2778400979","wikidata":"https://www.wikidata.org/wiki/Q143720","display_name":"Crown (dentistry)","level":2,"score":0.6681418418884277},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.6242458820343018},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5811359286308289},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5680407285690308},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5641151070594788},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4960530698299408},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.47332462668418884},{"id":"https://openalex.org/C199390426","wikidata":"https://www.wikidata.org/wiki/Q2353151","display_name":"Atmospheric radiative transfer codes","level":3,"score":0.4682924151420593},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.45946216583251953},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4162040054798126},{"id":"https://openalex.org/C39807119","wikidata":"https://www.wikidata.org/wiki/Q1134228","display_name":"Tree canopy","level":3,"score":0.4153885841369629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3720463514328003},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.3307037949562073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28853973746299744},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23813435435295105},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.17311212420463562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15132036805152893},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1384282112121582},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12421485781669617},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10341566801071167},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W74452380","https://openalex.org/W2039393019","https://openalex.org/W2098281798","https://openalex.org/W2118166339","https://openalex.org/W2129603674","https://openalex.org/W2905511257","https://openalex.org/W6749784697"],"related_works":["https://openalex.org/W3168021885","https://openalex.org/W2045211767","https://openalex.org/W2056219210","https://openalex.org/W2383716249","https://openalex.org/W23916517","https://openalex.org/W4386506415","https://openalex.org/W2497950047","https://openalex.org/W1998329507","https://openalex.org/W2115519510","https://openalex.org/W2053112303"],"abstract_inverted_index":{"Within-crown":[0],"heterogeneity":[1,36],"exists":[2],"and":[3,101,156],"needs":[4],"to":[5,51,129,144,166,173],"be":[6],"concerned":[7],"in":[8,152],"the":[9,34,49,79,138,142,168,179,189],"field":[10],"of":[11,25,45,70,94,110,119,170,181],"radiative":[12,30,81],"transfer":[13,31,82],"modeling":[14],"on":[15,78],"vegetation,":[16],"such":[17,107],"as":[18],"forests":[19,71,146],"containing":[20],"trees":[21],"with":[22,42,72,106,147,159,178],"heterogeneous":[23,148,174],"distribution":[24],"damaged":[26,87,175],"foliage.":[27],"The":[28],"existing":[29],"approaches":[32],"implement":[33],"within-crown":[35],"either":[37],"using":[38],"complicated":[39],"3D":[40,125],"scenes":[41,50],"excessive":[43],"amounts":[44],"parameters,":[46],"or":[47],"simplifying":[48],"homogeneous":[52],"cases":[53],"by":[54,115,123],"averaging":[55],"canopy":[56,65,171],"optical":[57],"properties.":[58],"We":[59],"propose":[60],"a":[61,164],"simulation":[62],"method":[63],"for":[64,191],"bi-directional":[66],"reflectance":[67,172],"factor":[68],"(BRF)":[69],"different":[73],"foliage":[74,149],"damage":[75,100,111,193],"distributions":[76,112],"based":[77],"stochastic":[80,117],"(SRT)":[83],"theory.":[84],"First,":[85],"each":[86],"tree":[88],"crown":[89],"was":[90],"classified":[91],"into":[92],"one":[93],"three":[95,108],"types:":[96],"top-only":[97],"damage,":[98],"bottom-only":[99],"random":[102],"damage.":[103],"Second,":[104],"canopies":[105],"types":[109],"were":[113,127],"modeled":[114],"extending":[116],"moments":[118],"SRT.":[120],"Then,":[121],"simulations":[122],"two":[124],"models":[126],"conducted":[128],"evaluate":[130],"extended":[131,139],"SRT":[132,140],"model":[133,145,187],"performance.":[134],"Results":[135],"suggest":[136],"that":[137],"has":[141,188],"capability":[143],"within":[150],"crowns":[151],"an":[153],"efficient":[154],"way,":[155],"agrees":[157],"well":[158],"other":[160,182],"models.":[161],"It":[162],"provides":[163],"framework":[165],"analyze":[167],"sensitivity":[169],"foliage,":[176],"along":[177],"change":[180],"key":[183],"scene":[184],"factors.":[185],"This":[186],"prospects":[190],"forest":[192],"quantitative":[194],"inversion.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}