{"id":"https://openalex.org/W4402218409","doi":"https://doi.org/10.1109/agro-geoinformatics262780.2024.10660916","title":"Estimation of terrestrial ecosystem NEP coupled with remote sensing and ground data","display_name":"Estimation of terrestrial ecosystem NEP coupled with remote sensing and ground data","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402218409","doi":"https://doi.org/10.1109/agro-geoinformatics262780.2024.10660916"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics262780.2024.10660916","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","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/A5084767422","display_name":"Zipeng Song","orcid":"https://orcid.org/0000-0002-7418-7897"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zipeng Song","raw_affiliation_strings":["Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426926","display_name":"Liang Liang","orcid":"https://orcid.org/0009-0006-1768-6960"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liang","raw_affiliation_strings":["Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121857","display_name":"Xiaohan Zhao","orcid":"https://orcid.org/0000-0002-6957-7639"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Zhao","raw_affiliation_strings":["Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456124","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0001-6488-5563"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101480829","display_name":"Meng Li","orcid":"https://orcid.org/0000-0003-1884-1521"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083351215","display_name":"Yizhi Wang","orcid":"https://orcid.org/0000-0001-5279-5034"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhi Wang","raw_affiliation_strings":["Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116"],"affiliations":[{"raw_affiliation_string":"Jiangsu Normal University,School of Geography, Geomatics and Planning,Xuzhou,Jiangsu,China,221116","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084767422"],"corresponding_institution_ids":["https://openalex.org/I118574674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13297762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9873999953269958,"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/T10029","display_name":"Climate variability and models","score":0.9757000207901001,"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/ecosystem","display_name":"Ecosystem","score":0.6847583055496216},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6182831525802612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5081202983856201},{"id":"https://openalex.org/keywords/terrestrial-ecosystem","display_name":"Terrestrial ecosystem","score":0.49416378140449524},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.48677730560302734},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4762563705444336},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17516282200813293},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.14489227533340454},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09543567895889282},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0926043689250946}],"concepts":[{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.6847583055496216},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6182831525802612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5081202983856201},{"id":"https://openalex.org/C65680412","wikidata":"https://www.wikidata.org/wiki/Q3718755","display_name":"Terrestrial ecosystem","level":3,"score":0.49416378140449524},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48677730560302734},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4762563705444336},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17516282200813293},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.14489227533340454},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09543567895889282},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0926043689250946},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics262780.2024.10660916","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2049423251","https://openalex.org/W2123134406","https://openalex.org/W2131372757","https://openalex.org/W2165551322","https://openalex.org/W2809295405","https://openalex.org/W3040739689"],"related_works":["https://openalex.org/W2362163825","https://openalex.org/W3192736396","https://openalex.org/W997381520","https://openalex.org/W3200068809","https://openalex.org/W3199618134","https://openalex.org/W2977610787","https://openalex.org/W2016704294","https://openalex.org/W1966296647","https://openalex.org/W4319311840","https://openalex.org/W3199112784"],"abstract_inverted_index":{"Net":[0],"ecosystem":[1],"productivity":[2],"(NEP)":[3],"is":[4,165,170,277,299],"a":[5],"key":[6,343],"indicator":[7],"that":[8,121,141,302,356],"reflects":[9],"the":[10,23,78,81,87,116,119,142,149,176,192,196,203,227,242,248,261,267,270,286,290,304,320,342,347,385,396],"net":[11,14,337],"absorption":[12],"or":[13],"emissions":[15],"of":[16,27,80,100,118,179,181,188,195,220,263,269,273,285,289,303,323,341,350,372,398],"carbon":[17,24,373],"in":[18,346,377],"terrestrial":[19,378],"ecosystems":[20,379],"to":[21,63,381],"measure":[22],"sink":[25],"capacity":[26],"vegetation.":[28],"This":[29],"paper":[30],"builds":[31],"machine":[32,45,65,73,102,153,207,252,256,294,307,361],"learning":[33,66,74,77,103,308,362],"models":[34,257],"such":[35,328],"as":[36,329],"Random":[37,143,197,243],"Forest":[38,144,198,244],"Regression":[39,44,145,152,199,206,245,251,293],"model":[40,46,53,104,146,154,200,208,246,295],"(RFR),":[41],"Support":[42,150,204,249,291],"Vector":[43,151,205,250,292],"(SVR)":[47,155,209],"and":[48,60,85,95,110,114,128,135,148,163,202,226,247,266,311,336,363,375,387,392,400,404,408],"Back":[49,228],"Propagation":[50,229],"Neural":[51,230],"Network":[52,231],"(BPNN),":[54],"coupled":[55],"with":[56,280],"Fluxnet2015":[57],"data":[58,62,68,83,187,365],"set":[59,84],"NDVI":[61,169,310],"build":[64],"training":[67,82],"set.":[69],"Based":[70],"on":[71,319,360,384],"different":[72,189],"models,":[75],"centrally":[76],"characteristics":[79,120],"mining":[86],"implicit":[88],"relationship":[89],"information":[90],"between":[91],"each":[92,101],"impact":[93,318],"factor":[94],"NEP.":[96],"The":[97,137,283],"estimation":[98,358],"results":[99,139,159,194,235,272,288,371],"are":[105,210,222,239,339],"evaluated":[106],"through":[107],"$\\mathrm{R}^{2}$,":[108],"RMSE":[109],"other":[111,218,281,305],"accuracy":[112,268,284],"indicators":[113],"analyze":[115],"importance":[117],"affect":[122],"NEP":[123,161,180,186,233,262,276,321,348,357],"prediction.":[124],"Provide":[125],"scientific":[126,390],"basis":[127,391],"technical":[129,393],"support":[130,394],"for":[131,160,175,214,236,296,395],"ecological":[132,399,405],"environmental":[133,401,406],"monitoring":[134,370,407],"protection.":[136,409],"research":[138],"show":[140],"(RFR)":[147,201],"have":[156,315],"good":[157],"prediction":[158,178,193,234,271,287,322,349],"data,":[162],"$\\mathrm{R}^{2}$":[164,221],"greater":[166,223],"than":[167,224,241,301],"0.7.":[168],"an":[171,316],"important":[172,317],"influence":[173],"parameter":[174],"overall":[177],"vegetation":[182,190,325,352],"types.":[183,282,326,353],"When":[184],"predicting":[185],"types,":[191],"generally":[211],"good.":[212],"Except":[213],"permanent":[215,237,274],"wetland,":[216],"all":[217],"types":[219],"0.6,":[225],"model\u2019s":[232],"wetland":[238,275],"better":[240,300],"model.":[253],"These":[254],"three":[255],"can":[258,366,388],"well":[259],"predict":[260],"mixed":[264],"forests,":[265],"poor":[278],"compared":[279],"woody":[297],"savannas":[298],"two":[306],"models.":[309],"latent":[312],"heat":[313,334],"flux":[314,335],"various":[324],"Characteristics":[327],"soil":[330],"water":[331],"content,":[332],"sensible":[333],"radiation":[338],"one":[340],"influencing":[344],"factors":[345],"specific":[351],"Research":[354],"shows":[355],"based":[359],"multisource":[364],"provide":[367,389],"remote":[368],"sensing":[369],"revenue":[374],"expenditure":[376],"similar":[380],"real":[382],"observation":[383],"ground,":[386],"formulation":[397],"protection":[402],"policies":[403]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}