{"id":"https://openalex.org/W3132790173","doi":"https://doi.org/10.1109/igarss39084.2020.9324017","title":"Mapping Rice Planting Area Using Multi-Temporal Quad-Pol Radarsat-2 Datasets and Random Forest Algorithm","display_name":"Mapping Rice Planting Area Using Multi-Temporal Quad-Pol Radarsat-2 Datasets and Random Forest Algorithm","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3132790173","doi":"https://doi.org/10.1109/igarss39084.2020.9324017","mag":"3132790173"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101583491","display_name":"Ze He","orcid":"https://orcid.org/0000-0001-9530-4733"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ze He","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049217145","display_name":"Shihua Li","orcid":"https://orcid.org/0000-0003-4807-5012"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihua Li","raw_affiliation_strings":["Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003317295","display_name":"Pengfei Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Zhai","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075965627","display_name":"Yuchuan Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchuan Deng","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101583491"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.7258,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87020757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4653","last_page":"4656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9940999746322632,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.741463303565979},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7098196744918823},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6641557812690735},{"id":"https://openalex.org/keywords/sowing","display_name":"Sowing","score":0.6393722295761108},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6379830837249756},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.4914959669113159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4362277388572693},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4221956729888916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3964090347290039},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3810310959815979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22409111261367798},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21343624591827393},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.12410330772399902},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.10100623965263367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09394010901451111}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.741463303565979},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7098196744918823},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6641557812690735},{"id":"https://openalex.org/C168741863","wikidata":"https://www.wikidata.org/wiki/Q777671","display_name":"Sowing","level":2,"score":0.6393722295761108},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6379830837249756},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.4914959669113159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4362277388572693},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4221956729888916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3964090347290039},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3810310959815979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22409111261367798},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21343624591827393},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.12410330772399902},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.10100623965263367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09394010901451111},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G7380814199","display_name":null,"funder_award_id":"41871247","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":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1754365911","https://openalex.org/W2003323862","https://openalex.org/W2038622951","https://openalex.org/W2041800333","https://openalex.org/W2099470890","https://openalex.org/W2133989913","https://openalex.org/W2141424348","https://openalex.org/W2249807211","https://openalex.org/W2348248763","https://openalex.org/W2487649765","https://openalex.org/W2547304117","https://openalex.org/W2791200330","https://openalex.org/W2911964244","https://openalex.org/W2979729205","https://openalex.org/W2989237842","https://openalex.org/W6651534033","https://openalex.org/W6660671798"],"related_works":["https://openalex.org/W2382423801","https://openalex.org/W2361404876","https://openalex.org/W2372348061","https://openalex.org/W2351979363","https://openalex.org/W3178516037","https://openalex.org/W2392295380","https://openalex.org/W2370438650","https://openalex.org/W3045348154","https://openalex.org/W2385623625","https://openalex.org/W2469797871"],"abstract_inverted_index":{"Accurate":[0],"mapping":[1,40],"of":[2,32,89,119,124],"paddy":[3],"rice":[4,10,22,38,63,103,112],"planting":[5,64],"area":[6,39,65,113],"is":[7,19],"important":[8],"for":[9,21,37,111],"yield":[11],"prediction.":[12],"Polarimetric":[13],"synthetic":[14],"aperture":[15],"radar":[16],"(PolSAR)":[17],"data":[18,100],"suitable":[20],"growth":[23],"monitoring":[24],"in":[25,43,66,70],"cloudy":[26],"and":[27,53,77,82,121],"foggy":[28],"weather.":[29],"The":[30,72,93],"potential":[31],"using":[33],"quad-pol":[34,50],"PolSAR":[35,99],"parameters":[36,79,95],"needs":[41],"exploration":[42],"detail.":[44],"In":[45],"this":[46],"study,":[47],"multi-temporal":[48],"C-band":[49],"RADARSAT-2":[51],"datasets":[52],"random":[54,90],"forest":[55,91],"classification":[56],"algorithm":[57],"were":[58,80,106],"used":[59],"to":[60],"identify":[61],"the":[62,87,102,108,116],"Meishan":[67],"City,":[68],"China":[69],"2016.":[71],"backscatter":[73],"coefficients,":[74],"polarimetric":[75],"variables":[76],"decomposition":[78,94],"extracted":[81],"divided":[83],"into":[84],"groups":[85],"as":[86],"inputs":[88],"classifier.":[92],"derived":[96],"from":[97],"single-day":[98],"during":[101],"reproductive":[104],"period":[105],"found":[107],"most":[109],"practicable":[110],"mapping,":[114],"with":[115],"overall":[117],"accuracy":[118],"95.94%":[120],"kappa":[122],"coefficient":[123],"0.92.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}