{"id":"https://openalex.org/W2068094410","doi":"https://doi.org/10.3390/rs70505347","title":"Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA","display_name":"Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA","publication_year":2015,"publication_date":"2015-04-28","ids":{"openalex":"https://openalex.org/W2068094410","doi":"https://doi.org/10.3390/rs70505347","mag":"2068094410"},"language":"en","primary_location":{"id":"doi:10.3390/rs70505347","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70505347","pdf_url":"https://www.mdpi.com/2072-4292/7/5/5347/pdf?version=1430221413","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/2072-4292/7/5/5347/pdf?version=1430221413","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015672094","display_name":"Pengyu Hao","orcid":"https://orcid.org/0000-0003-3711-6157"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Hao","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108648343","display_name":"Yulin Zhan","orcid":"https://orcid.org/0000-0001-5771-4168"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulin Zhan","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382402","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-2929-4255"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110589832","display_name":"Zheng Niu","orcid":"https://orcid.org/0000-0001-5959-9351"},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Niu","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113906615","display_name":"Muhammad Shakir","orcid":null},"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/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Shakir","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108648343"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":14.0603,"has_fulltext":true,"cited_by_count":248,"citation_normalized_percentile":{"value":0.99155015,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"5","first_page":"5347","last_page":"5369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6991139650344849},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6780197620391846},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5388137698173523},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5191420912742615},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4688602089881897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37534597516059875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34394681453704834},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2909783124923706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2432844638824463},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1796450912952423},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.17715641856193542}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6991139650344849},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6780197620391846},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5388137698173523},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5191420912742615},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4688602089881897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37534597516059875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34394681453704834},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2909783124923706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2432844638824463},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1796450912952423},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.17715641856193542},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs70505347","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70505347","pdf_url":"https://www.mdpi.com/2072-4292/7/5/5347/pdf?version=1430221413","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:ce67d5d12f584675a376e51781c50687","is_oa":true,"landing_page_url":"https://doaj.org/article/ce67d5d12f584675a376e51781c50687","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Iss 5, Pp 5347-5369 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/7/5/5347/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs70505347","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; Volume 7; Issue 5; Pages: 5347-5369","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs70505347","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70505347","pdf_url":"https://www.mdpi.com/2072-4292/7/5/5347/pdf?version=1430221413","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":[{"score":0.6600000262260437,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G2429869718","display_name":null,"funder_award_id":"41371416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2837241789","display_name":null,"funder_award_id":"14CNIC-032079-32","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G29293572","display_name":null,"funder_award_id":"41371358","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"},{"id":"https://openalex.org/F4320323479","display_name":"Centro Nacional de Investigaciones Cardiovasculares","ror":"https://ror.org/02qs1a797"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2068094410.pdf","grobid_xml":"https://content.openalex.org/works/W2068094410.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W586310283","https://openalex.org/W1969214006","https://openalex.org/W1973403741","https://openalex.org/W1974981350","https://openalex.org/W1978617972","https://openalex.org/W1985514099","https://openalex.org/W1988117407","https://openalex.org/W1990244654","https://openalex.org/W1991361881","https://openalex.org/W1992939357","https://openalex.org/W1998281138","https://openalex.org/W2007415373","https://openalex.org/W2011961220","https://openalex.org/W2013140666","https://openalex.org/W2014821640","https://openalex.org/W2019601122","https://openalex.org/W2019768584","https://openalex.org/W2021524677","https://openalex.org/W2029342456","https://openalex.org/W2030165874","https://openalex.org/W2041083516","https://openalex.org/W2042255844","https://openalex.org/W2051105502","https://openalex.org/W2054072438","https://openalex.org/W2058499576","https://openalex.org/W2063479531","https://openalex.org/W2063907334","https://openalex.org/W2067234885","https://openalex.org/W2071401923","https://openalex.org/W2081201347","https://openalex.org/W2090231298","https://openalex.org/W2099507093","https://openalex.org/W2109044582","https://openalex.org/W2115787511","https://openalex.org/W2132424470","https://openalex.org/W2138973222","https://openalex.org/W2154506590","https://openalex.org/W2164287959","https://openalex.org/W2167594433","https://openalex.org/W2307710359","https://openalex.org/W2325718943","https://openalex.org/W2911964244","https://openalex.org/W6642360064","https://openalex.org/W6652731174"],"related_works":["https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4392566681","https://openalex.org/W1980260791","https://openalex.org/W2803445926","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Currently,":[0],"accurate":[1],"information":[2],"on":[3,41,145,156],"crop":[4,21,42,121,200,213,281],"area":[5],"coverage":[6],"is":[7,16],"vital":[8],"for":[9,19,76,109,199,279],"food":[10],"security":[11],"and":[12,14,92,123,127,140,184,204,222,231],"industry,":[13],"there":[15],"strong":[17],"demand":[18],"timely":[20],"mapping.":[22,43,201,214],"In":[23,186],"this":[24],"study,":[25],"we":[26,63],"used":[27,65,104,118,130,230],"MODIS":[28],"time":[29,38,45,61,111,137,165,233,247,252,268],"series":[30,39,46,138,166,234,248,253,269],"data":[31,205],"to":[32,54,71,105,119,131,211,273],"investigate":[33],"the":[34,37,66,73,99,114,124,133,136,141,148,164,172,188,192,195,216,226,232,245,259,271],"effect":[35],"of":[36,98,135,143,194,228],"length":[40,139],"Eight":[44],"with":[47,225],"different":[48],"lengths":[49],"(ranging":[50],"from":[51,206],"one":[52,152,154],"month":[53],"eight":[55],"months)":[56],"were":[57,129,150,180],"tested.":[58],"For":[59],"each":[60,110],"series,":[62],"first":[64],"Random":[67],"Forest":[68],"(RF)":[69],"algorithm":[70,116],"calculate":[72],"importance":[74,158],"score":[75],"all":[77],"features":[78,144,149,175,179,190,198,229],"(including":[79],"multi-spectral":[80,207],"data,":[81],"Normalized":[82,87],"Difference":[83,88],"Vegetation":[84],"Index":[85,90],"(NDVI),":[86],"Water":[89],"(NDWI),":[91],"phenological":[93],"metrics).":[94],"Subsequently,":[95],"an":[96],"extension":[97],"Jeffries\u2013Matusita":[100],"(JM)":[101],"distance":[102],"was":[103,117,167,244],"measure":[106],"class":[107],"separability":[108],"series.":[112],"Finally,":[113],"RF":[115],"classify":[120],"types,":[122],"classification":[125,146,220,260],"accuracy":[126],"certainty":[128,223],"analyze":[132],"influence":[134],"number":[142,227],"performance;":[147],"added":[151],"by":[153],"based":[155],"their":[157],"scores.":[159],"Results":[160],"indicated":[161],"that":[162,265],"when":[163],"longer":[168,251],"than":[169],"five":[170],"months,":[171],"top":[173],"ten":[174],"remained":[176],"stable.":[177],"These":[178],"mainly":[181],"in":[182,258],"July":[183],"August.":[185],"addition,":[187],"NDVI":[189],"contributed":[191,210],"majority":[193],"most":[196],"significant":[197],"The":[202],"NDWI":[203],"bands":[208],"also":[209],"improving":[212],"On":[215],"other":[217],"hand,":[218],"separability,":[219],"accuracy,":[221],"increased":[224],"length,":[235,249],"although":[236],"these":[237],"values":[238],"quickly":[239],"reached":[240],"saturation.":[241],"Five":[242],"months":[243],"optimal":[246],"as":[250],"provided":[254],"no":[255],"further":[256],"improvement":[257],"performance.":[261],"This":[262],"result":[263],"shows":[264],"relatively":[266],"short":[267],"have":[270],"potential":[272],"identify":[274],"crops":[275],"accurately,":[276],"which":[277],"allows":[278],"early":[280],"mapping":[282],"over":[283],"large":[284],"areas.":[285]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":37},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}
