{"id":"https://openalex.org/W1972893243","doi":"https://doi.org/10.1109/igarss.2010.5651877","title":"Extracting spatial information of harvest index for winter wheat based on modis ndvi in north China","display_name":"Extracting spatial information of harvest index for winter wheat based on modis ndvi in north China","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1972893243","doi":"https://doi.org/10.1109/igarss.2010.5651877","mag":"1972893243"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5651877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5651877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107391401","display_name":"Jianqia Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqia Ren","raw_affiliation_strings":["Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022918104","display_name":"Xingren Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingren Liu","raw_affiliation_strings":["Institute of Geographic Sciences and Natural Resources Research, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008756","display_name":"Zhongxin Chen","orcid":"https://orcid.org/0009-0004-2148-9367"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxin Chen","raw_affiliation_strings":["Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074919470","display_name":"Huajun Tang","orcid":"https://orcid.org/0000-0002-0186-165X"},"institutions":[{"id":"https://openalex.org/I4210108914","display_name":"Institute of Agricultural Resources and Regional Planning","ror":"https://ror.org/01nrzdp21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108914","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Tang","raw_affiliation_strings":["Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108914","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Key Laboratory of Resources Remote-Sensing & Digital Agriculture, Ministry of Agriculture, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"2143","last_page":"2146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976000189781189,"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/T14157","display_name":"Environmental and Agricultural Sciences","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.9120438098907471},{"id":"https://openalex.org/keywords/winter-wheat","display_name":"Winter wheat","score":0.663447916507721},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5570013523101807},{"id":"https://openalex.org/keywords/anthesis","display_name":"Anthesis","score":0.5474808216094971},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5012812614440918},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4804215431213379},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.44842463731765747},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44493475556373596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.361203670501709},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.2663312256336212},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21284013986587524},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.20539939403533936},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.15400922298431396},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12247595191001892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.11677572131156921}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.9120438098907471},{"id":"https://openalex.org/C3018661444","wikidata":"https://www.wikidata.org/wiki/Q6977574","display_name":"Winter wheat","level":2,"score":0.663447916507721},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5570013523101807},{"id":"https://openalex.org/C2780512892","wikidata":"https://www.wikidata.org/wiki/Q593803","display_name":"Anthesis","level":3,"score":0.5474808216094971},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5012812614440918},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4804215431213379},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.44842463731765747},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44493475556373596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.361203670501709},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.2663312256336212},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21284013986587524},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.20539939403533936},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.15400922298431396},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12247595191001892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.11677572131156921},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C197321923","wikidata":"https://www.wikidata.org/wiki/Q4886","display_name":"Cultivar","level":2,"score":0.0},{"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/igarss.2010.5651877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5651877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W349591231","https://openalex.org/W1469673330","https://openalex.org/W1999428071","https://openalex.org/W2004507401","https://openalex.org/W2016185505","https://openalex.org/W2017541618","https://openalex.org/W2018636632","https://openalex.org/W2024515055","https://openalex.org/W2038955415","https://openalex.org/W2041621620","https://openalex.org/W2054963632","https://openalex.org/W2071540364","https://openalex.org/W2105196991","https://openalex.org/W2171395380","https://openalex.org/W2386804789","https://openalex.org/W6611682925","https://openalex.org/W6676015983","https://openalex.org/W7019477113"],"related_works":["https://openalex.org/W2019210880","https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W1980260791","https://openalex.org/W1981978360","https://openalex.org/W4385533602","https://openalex.org/W3189212133","https://openalex.org/W4382239404","https://openalex.org/W2082835043"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,22,57],"acquire":[3],"the":[4,15,40,58,67,91,94,120,138],"spatial":[5],"information":[6,48],"of":[7,19,26,34,45,60,62,74,82,93,97,110,119,140,143],"winter":[8,75,84,98,152],"wheat":[9,76,85,99,153],"harvest":[10,149],"index":[11,150],"(HI),":[12],"depending":[13],"on":[14,155],"crop":[16],"growth":[17],"profile":[18],"time-series":[20],"MODIS-NDVI":[21,157],"calculate":[23],"mean":[24,116],"slope":[25],"NDVI":[27,31],"curve":[28],"and":[29,37,49,54,70,102,125,127,131,145,147,160],"accumulated":[30],"at":[32,104],"stage":[33],"before":[35],"anthesis":[36],"after":[38],"anthesis,":[39],"authors":[41],"made":[42],"full":[43],"use":[44],"remote":[46],"sensing":[47],"structured":[50],"two":[51,68],"parameters":[52,69,142],"HINDVI-k":[53,144],"HINDVI-SUM":[55],"according":[56],"definition":[59],"HI":[61,73,96,122],"crop.":[63],"Then":[64],"relationships":[65],"between":[66],"field":[71],"measured":[72],"were":[77,123,129],"established":[78],"respectively.":[79,133],"After":[80],"validation":[81],"retrieved":[83,95,121],"HI,":[86],"it":[87],"was":[88,100,135,158],"shown":[89],"that":[90,137],"accuracy":[92],"high":[101],"satisfied":[103],"large":[105],"scale":[106],"in":[107,113],"study":[108],"region":[109],"Huanghuaihai":[111],"Plain":[112],"China.":[114],"The":[115],"relative":[117],"errors":[118],"3.60%":[124],"2.40%":[126],"RMSE":[128],"0.04":[130],"0.02":[132],"It":[134],"proved":[136],"method":[139],"structuring":[141],"HINDVI_SUM":[146],"extracting":[148],"for":[151],"based":[154],"timeseries":[156],"reasonable":[159],"feasible.":[161]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
