{"id":"https://openalex.org/W2921408119","doi":"https://doi.org/10.3390/rs11060629","title":"Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform","display_name":"Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform","publication_year":2019,"publication_date":"2019-03-14","ids":{"openalex":"https://openalex.org/W2921408119","doi":"https://doi.org/10.3390/rs11060629","mag":"2921408119"},"language":"en","primary_location":{"id":"doi:10.3390/rs11060629","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11060629","pdf_url":"https://www.mdpi.com/2072-4292/11/6/629/pdf?version=1552572829","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/2072-4292/11/6/629/pdf?version=1552572829","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087882107","display_name":"Fuyou Tian","orcid":"https://orcid.org/0000-0003-1758-8763"},"institutions":[{"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":"Fuyou Tian","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]},{"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/A5010666672","display_name":"Bingfang Wu","orcid":"https://orcid.org/0000-0001-5546-365X"},"institutions":[{"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":true,"raw_author_name":"Bingfang Wu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0001-5546-365X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]},{"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/A5002818077","display_name":"Hongwei Zeng","orcid":"https://orcid.org/0000-0003-0714-5539"},"institutions":[{"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":"Hongwei Zeng","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327354","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0001-7844-593X"},"institutions":[{"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":"Xin Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China"],"raw_orcid":"https://orcid.org/0000-0001-7844-593X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050899081","display_name":"Jiaming Xu","orcid":"https://orcid.org/0000-0003-3273-9806"},"institutions":[{"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":"Jiaming Xu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0003-3273-9806","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, W. Beichen Road, Beijing 100101, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010666672"],"corresponding_institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I4210165038","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.0153,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.97948341,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":"6","first_page":"629","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9979000091552734,"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":0.9979000091552734,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9944999814033508,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6948336958885193},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6688024997711182},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5955784320831299},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5070254802703857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4821705222129822},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4615492820739746},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41901516914367676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33630913496017456},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21219980716705322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16732576489448547},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11091208457946777}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6948336958885193},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6688024997711182},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5955784320831299},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5070254802703857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4821705222129822},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4615492820739746},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41901516914367676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33630913496017456},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21219980716705322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16732576489448547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11091208457946777},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11060629","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11060629","pdf_url":"https://www.mdpi.com/2072-4292/11/6/629/pdf?version=1552572829","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:fdd0d57a44e642d985e4affc56331864","is_oa":true,"landing_page_url":"https://doaj.org/article/fdd0d57a44e642d985e4affc56331864","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 11, Iss 6, p 629 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/6/629/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11060629","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/rs11060629","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11060629","pdf_url":"https://www.mdpi.com/2072-4292/11/6/629/pdf?version=1552572829","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/2","score":0.4699999988079071,"display_name":"Zero hunger"},{"id":"https://metadata.un.org/sdg/6","score":0.4300000071525574,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921408119.pdf"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W600580655","https://openalex.org/W1154758367","https://openalex.org/W1903469757","https://openalex.org/W1964262728","https://openalex.org/W1964672965","https://openalex.org/W1968299234","https://openalex.org/W1969834758","https://openalex.org/W1981213426","https://openalex.org/W1984792953","https://openalex.org/W1986738039","https://openalex.org/W1986802129","https://openalex.org/W1998281138","https://openalex.org/W2015641952","https://openalex.org/W2023912087","https://openalex.org/W2027866306","https://openalex.org/W2030165874","https://openalex.org/W2033452057","https://openalex.org/W2041241239","https://openalex.org/W2042386716","https://openalex.org/W2063623478","https://openalex.org/W2068332224","https://openalex.org/W2073122003","https://openalex.org/W2077249821","https://openalex.org/W2086823339","https://openalex.org/W2090231298","https://openalex.org/W2095028777","https://openalex.org/W2097419478","https://openalex.org/W2099507093","https://openalex.org/W2101234009","https://openalex.org/W2109044582","https://openalex.org/W2113410727","https://openalex.org/W2117189556","https://openalex.org/W2118037698","https://openalex.org/W2118899651","https://openalex.org/W2131865678","https://openalex.org/W2137917662","https://openalex.org/W2144841545","https://openalex.org/W2152792086","https://openalex.org/W2158188163","https://openalex.org/W2158766120","https://openalex.org/W2170088503","https://openalex.org/W2183623781","https://openalex.org/W2188360170","https://openalex.org/W2229287017","https://openalex.org/W2261059368","https://openalex.org/W2273708466","https://openalex.org/W2281182118","https://openalex.org/W2290326488","https://openalex.org/W2336496425","https://openalex.org/W2344866513","https://openalex.org/W2402268235","https://openalex.org/W2480184802","https://openalex.org/W2485344327","https://openalex.org/W2490264735","https://openalex.org/W2525857122","https://openalex.org/W2552805558","https://openalex.org/W2578830027","https://openalex.org/W2592532736","https://openalex.org/W2592712793","https://openalex.org/W2604645045","https://openalex.org/W2610947800","https://openalex.org/W2621021710","https://openalex.org/W2725897987","https://openalex.org/W2728388975","https://openalex.org/W2730238284","https://openalex.org/W2737391801","https://openalex.org/W2787791588","https://openalex.org/W2791592925","https://openalex.org/W2886106861","https://openalex.org/W2897416154","https://openalex.org/W2911964244","https://openalex.org/W6641732855","https://openalex.org/W6656262881","https://openalex.org/W6659056558","https://openalex.org/W6661103286","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W4205786897","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4252699458"],"abstract_inverted_index":{"The":[0,21,163,185,211,242],"distribution":[1],"of":[2,23,34,53,64,98,101,107,192,197,239,244],"corn":[3,35,65,157,183,186,212,246],"cultivation":[4],"areas":[5],"is":[6,59,180],"crucial":[7],"for":[8,182,254],"ensuring":[9],"food":[10],"security,":[11],"eradicating":[12],"hunger,":[13],"adjusting":[14],"crop":[15,161,256],"structures,":[16],"and":[17,29,40,68,85,104,172,194,217,232,258],"managing":[18],"water":[19,259],"resources.":[20],"emergence":[22],"high-resolution":[24],"images,":[25],"such":[26],"as":[27,122],"Sentinel-1":[28,108],"Sentinel-2,":[30],"enables":[31],"the":[32,37,51,60,89,135,138,145,167,176,201,224,245],"identification":[33],"at":[36],"field":[38],"scale,":[39],"these":[41],"images":[42,87,174,219],"can":[43],"be":[44],"applied":[45],"on":[46],"a":[47,125,189,233],"large":[48],"scale":[49],"with":[50,144,223,227],"support":[52],"cloud":[54,94,178],"computing":[55],"technology.":[56],"Hebei":[57],"Province":[58],"major":[61],"production":[62],"area":[63,213],"in":[66,88,134,150,175,208,265],"China,":[67],"faces":[69],"serious":[70],"groundwater":[71],"overexploitation":[72],"due":[73],"to":[74,113,118,124,153,160,200,250],"irrigation.":[75],"Corn":[76],"was":[77,142,205,220],"mapped":[78],"using":[79,169],"multitemporal":[80,170],"synthetic":[81],"aperture":[82],"radar":[83],"(SAR)":[84],"optical":[86,173,216],"Google":[90],"Earth":[91],"Engine":[92],"(GEE)":[93],"platform.":[95],"A":[96],"total":[97],"1712":[99],"scenes":[100,106],"Sentinel-2":[102],"data":[103,109],"206":[105],"acquired":[110],"from":[111,215],"June":[112],"October":[114],"2017":[115],"were":[116],"processed":[117],"composite":[119],"image":[120],"metrics":[121],"input":[123],"random":[126],"forest":[127],"(RF)":[128],"classifier.":[129],"To":[130],"avoid":[131],"speckle":[132],"noise":[133],"classification":[136,140],"results,":[137],"pixel-based":[139],"result":[141],"integrated":[143],"object":[146],"segmentation":[147],"boundary":[148],"completed":[149],"eCognition":[151],"software":[152],"generate":[154],"an":[155,228],"object-based":[156],"map":[158,187,247],"according":[159,199],"intensity.":[162],"results":[164,243],"indicated":[165],"that":[166],"approach":[168],"SAR":[171,218],"GEE":[177],"platform":[179],"reliable":[181],"mapping.":[184],"had":[188],"high":[190],"F1-Score":[191],"90.08%":[193],"overall":[195],"accuracy":[196],"89.89%":[198],"test":[202],"dataset,":[203],"which":[204,261],"not":[206],"involved":[207],"model":[209],"training.":[210],"estimated":[214],"well":[221],"correlated":[222],"census":[225],"data,":[226],"R2":[229],"=":[230],"0.91":[231],"root":[234],"mean":[235],"square":[236],"error":[237],"(RMSE)":[238],"470.90":[240],"km2.":[241],"are":[248,262],"expected":[249],"provide":[251],"detailed":[252],"information":[253],"optimizing":[255],"structure":[257],"management,":[260],"critical":[263],"issues":[264],"this":[266],"region.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}