{"id":"https://openalex.org/W3174589932","doi":"https://doi.org/10.3390/rs13122352","title":"Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques","display_name":"Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques","publication_year":2021,"publication_date":"2021-06-16","ids":{"openalex":"https://openalex.org/W3174589932","doi":"https://doi.org/10.3390/rs13122352","mag":"3174589932"},"language":"en","primary_location":{"id":"doi:10.3390/rs13122352","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13122352","pdf_url":"https://www.mdpi.com/2072-4292/13/12/2352/pdf?version=1623836102","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/12/2352/pdf?version=1623836102","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005821943","display_name":"Liying Geng","orcid":"https://orcid.org/0000-0002-6519-9570"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Geng","raw_affiliation_strings":["Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091837236","display_name":"Tao Che","orcid":"https://orcid.org/0000-0001-6848-7271"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]},{"id":"https://openalex.org/I4210144025","display_name":"Center for Excellence in Tibetan Plateau Earth Sciences","ror":"https://ror.org/052acn261","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210141476","https://openalex.org/I4210144025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Che","raw_affiliation_strings":["Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China","Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"raw_orcid":"https://orcid.org/0000-0001-6848-7271","affiliations":[{"raw_affiliation_string":"Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210144025","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040780405","display_name":"Mingguo Ma","orcid":"https://orcid.org/0000-0002-3783-8363"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingguo Ma","raw_affiliation_strings":["Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China"],"raw_orcid":"https://orcid.org/0000-0002-3783-8363","affiliations":[{"raw_affiliation_string":"Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091619201","display_name":"Junlei Tan","orcid":"https://orcid.org/0000-0001-9710-1868"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlei Tan","raw_affiliation_strings":["Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"raw_orcid":"https://orcid.org/0000-0001-9710-1868","affiliations":[{"raw_affiliation_string":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100729096","display_name":"Haibo Wang","orcid":"https://orcid.org/0000-0002-1233-4484"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Wang","raw_affiliation_strings":["Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"raw_orcid":"https://orcid.org/0000-0002-1233-4484","affiliations":[{"raw_affiliation_string":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091837236"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106526","https://openalex.org/I4210144025"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":7.5247,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.97815414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"12","first_page":"2352","last_page":"2352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9832000136375427,"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/mean-squared-error","display_name":"Mean squared error","score":0.7270668745040894},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5940738916397095},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5534345507621765},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.550821840763092},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.47904646396636963},{"id":"https://openalex.org/keywords/nadir","display_name":"Nadir","score":0.4743051528930664},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4735267162322998},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.4706408679485321},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.46422240138053894},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.43619656562805176},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.42099452018737793},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4196760654449463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31082063913345337},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22513967752456665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18968123197555542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18958792090415955},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.15203726291656494},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13436374068260193},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.12892556190490723}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7270668745040894},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5940738916397095},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5534345507621765},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.550821840763092},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47904646396636963},{"id":"https://openalex.org/C88575799","wikidata":"https://www.wikidata.org/wiki/Q145825","display_name":"Nadir","level":3,"score":0.4743051528930664},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4735267162322998},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.4706408679485321},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.46422240138053894},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.43619656562805176},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.42099452018737793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4196760654449463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31082063913345337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22513967752456665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18968123197555542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18958792090415955},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.15203726291656494},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13436374068260193},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.12892556190490723},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13122352","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13122352","pdf_url":"https://www.mdpi.com/2072-4292/13/12/2352/pdf?version=1623836102","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6bf341d5c2384ed386e5787be00b7d48","is_oa":true,"landing_page_url":"https://doaj.org/article/6bf341d5c2384ed386e5787be00b7d48","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 12, p 2352 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/12/2352/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13122352","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13122352","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13122352","pdf_url":"https://www.mdpi.com/2072-4292/13/12/2352/pdf?version=1623836102","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G6086819434","display_name":null,"funder_award_id":"41601482","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7249970570","display_name":"\u878d\u5408\u53f6\u7eff\u7d20\u8367\u5149\u9065\u611f\u6570\u636e\u548c\u751f\u6001\u6a21\u578b\u7684\u5e72\u65f1\u533a\u690d\u88ab\u751f\u4ea7\u529b\u5c3a\u5ea6\u6269\u5c55\u7814\u7a76","funder_award_id":"41871250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3174589932.pdf"},"referenced_works_count":94,"referenced_works":["https://openalex.org/W1529999203","https://openalex.org/W1964011623","https://openalex.org/W1964217023","https://openalex.org/W1965696795","https://openalex.org/W1971044641","https://openalex.org/W1986449905","https://openalex.org/W2000102737","https://openalex.org/W2000532370","https://openalex.org/W2000613913","https://openalex.org/W2001467506","https://openalex.org/W2011010318","https://openalex.org/W2012686349","https://openalex.org/W2017658827","https://openalex.org/W2022570927","https://openalex.org/W2036459681","https://openalex.org/W2038023217","https://openalex.org/W2046292468","https://openalex.org/W2048304242","https://openalex.org/W2052331316","https://openalex.org/W2064417027","https://openalex.org/W2079878416","https://openalex.org/W2094677081","https://openalex.org/W2095464314","https://openalex.org/W2113249705","https://openalex.org/W2113410727","https://openalex.org/W2116085078","https://openalex.org/W2117134952","https://openalex.org/W2136256197","https://openalex.org/W2138448722","https://openalex.org/W2142196438","https://openalex.org/W2150362887","https://openalex.org/W2151549592","https://openalex.org/W2159961845","https://openalex.org/W2167869331","https://openalex.org/W2188767531","https://openalex.org/W2240519691","https://openalex.org/W2261059368","https://openalex.org/W2271830638","https://openalex.org/W2277174100","https://openalex.org/W2295598076","https://openalex.org/W2296612123","https://openalex.org/W2508621980","https://openalex.org/W2547486607","https://openalex.org/W2561649918","https://openalex.org/W2737103927","https://openalex.org/W2745131289","https://openalex.org/W2745553313","https://openalex.org/W2765260274","https://openalex.org/W2772101526","https://openalex.org/W2783336591","https://openalex.org/W2792465991","https://openalex.org/W2794339313","https://openalex.org/W2795399262","https://openalex.org/W2805142011","https://openalex.org/W2884566649","https://openalex.org/W2892959751","https://openalex.org/W2893797198","https://openalex.org/W2910134965","https://openalex.org/W2910773306","https://openalex.org/W2911964244","https://openalex.org/W2913208644","https://openalex.org/W2918084323","https://openalex.org/W2929349101","https://openalex.org/W2945365803","https://openalex.org/W2950294063","https://openalex.org/W2954454425","https://openalex.org/W2955953739","https://openalex.org/W2964052062","https://openalex.org/W2965977570","https://openalex.org/W2976697151","https://openalex.org/W2981383845","https://openalex.org/W2987472362","https://openalex.org/W2993028524","https://openalex.org/W2997051686","https://openalex.org/W3006862968","https://openalex.org/W3009990201","https://openalex.org/W3010758280","https://openalex.org/W3011492429","https://openalex.org/W3015235564","https://openalex.org/W3034067006","https://openalex.org/W3035803741","https://openalex.org/W3048727648","https://openalex.org/W3049266285","https://openalex.org/W3081293412","https://openalex.org/W3087922632","https://openalex.org/W3093252734","https://openalex.org/W3102476541","https://openalex.org/W3112264702","https://openalex.org/W4239510810","https://openalex.org/W4248268077","https://openalex.org/W6663476391","https://openalex.org/W6666903970","https://openalex.org/W6674394319","https://openalex.org/W6753282646"],"related_works":["https://openalex.org/W1936443018","https://openalex.org/W3114051225","https://openalex.org/W2495312616","https://openalex.org/W3183766399","https://openalex.org/W4381826918","https://openalex.org/W4398198197","https://openalex.org/W2736619525","https://openalex.org/W4315556876","https://openalex.org/W2170480554","https://openalex.org/W2067006653"],"abstract_inverted_index":{"The":[0,23,149,175],"accurate":[1,261],"and":[2,58,76,145,167,196,219],"timely":[3],"estimation":[4,262],"of":[5,14,26,30,92,161,230,253,263],"regional":[6],"crop":[7,19,37,241],"biomass":[8,70,155,242,266],"at":[9,267],"different":[10],"growth":[11],"stages":[12],"is":[13],"great":[15],"importance":[16],"in":[17,88],"guiding":[18],"management":[20],"decision":[21],"making.":[22],"recent":[24],"availability":[25],"long":[27],"time":[28],"series":[29],"remote":[31],"sensing":[32],"data":[33,75,83],"offers":[34],"opportunities":[35],"for":[36,239],"monitoring.":[38],"In":[39,246],"this":[40],"paper,":[41],"four":[42,171],"machine":[43,52,172,254],"learning":[44,173,255],"models,":[45],"namely":[46],"random":[47],"forest":[48],"(RF),":[49],"support":[50],"vector":[51],"(SVM),":[53],"artificial":[54],"neural":[55],"network":[56],"(ANN),":[57],"extreme":[59],"gradient":[60],"boosting":[61],"(XGBoost)":[62],"were":[63,100],"adopted":[64],"to":[65,86,228,257],"estimate":[66],"the":[67,89,93,103,153,170,181,205,231,248,251],"seasonal":[68],"corn":[69,114,154,265],"based":[71],"on":[72],"field":[73],"observation":[74],"moderate":[77],"resolution":[78],"imaging":[79],"spectroradiometer":[80],"(MODIS)":[81],"reflectance":[82],"from":[84,108,243],"2012":[85],"2019":[87],"middle":[90],"reaches":[91],"Heihe":[94],"River":[95],"basin,":[96],"China.":[97],"Nine":[98],"variables":[99,111],"selected":[101],"with":[102,169,224],"forward":[104],"feature":[105],"selection":[106],"approach":[107],"among":[109],"twenty-seven":[110],"potentially":[112],"influencing":[113],"biomass:":[115],"soil-adjusted":[116],"total":[117],"vegetation":[118,123,139],"index":[119,124,135,140],"(SATVI),":[120],"green":[121],"ratio":[122],"(GRVI),":[125],"Nadir_B7":[126],"(2105\u20132155":[127],"nm),":[128,131,144],"Nadir_B6":[129],"(1628\u20131652":[130],"land":[132],"surface":[133],"water":[134],"(LSWI),":[136],"normalized":[137],"difference":[138],"(NDVI),":[141],"Nadir_B4":[142],"(545\u2013565":[143],"Nadir_B3":[146],"(459\u2013479":[147],"nm).":[148],"results":[150],"indicated":[151],"that":[152,229],"was":[156,164,208],"suitably":[157],"estimated":[158],"(the":[159],"coefficient":[160],"determination":[162],"(R2)":[163],"between":[165],"0.72":[166],"0.78)":[168],"models.":[174],"XGBoost":[176,232],"model":[177,207],"performed":[178],"better":[179],"than":[180],"other":[182],"three":[183],"models":[184],"(R2":[185,212],"=":[186,193,201,213,216,221],"0.78,":[187],"root":[188],"mean":[189,197],"squared":[190],"error":[191,199],"(RMSE)":[192],"2.86":[194],"t/ha":[195,218],"absolute":[198],"(MAE)":[200],"1.86":[202],"t/ha).":[203],"Moreover,":[204],"RF":[206],"an":[209],"effective":[210],"method":[211],"0.77,":[214],"RMSE":[215],"2.91":[217],"MAE":[220],"1.91":[222],"t/ha),":[223],"a":[225,237,259,268],"performance":[226],"comparable":[227],"model.":[233],"This":[234],"study":[235],"provides":[236],"reference":[238],"estimating":[240],"MOD43A4":[244],"datasets.":[245],"addition,":[247],"research":[249],"demonstrates":[250],"potential":[252],"techniques":[256],"achieve":[258],"relatively":[260],"daily":[264],"large":[269],"scale.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":11}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}