{"id":"https://openalex.org/W3131696708","doi":"https://doi.org/10.1109/igarss39084.2020.9323482","title":"Integration of Sentinel 1 and 2 Observations for Mapping Early and Late Sowing of Soybean and Cotton Crop Using Deep Learning","display_name":"Integration of Sentinel 1 and 2 Observations for Mapping Early and Late Sowing of Soybean and Cotton Crop Using Deep Learning","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131696708","doi":"https://doi.org/10.1109/igarss39084.2020.9323482","mag":"3131696708"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323482","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/A5084404480","display_name":"Jayantrao Mohite","orcid":"https://orcid.org/0000-0003-1289-8797"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayantrao Mohite","raw_affiliation_strings":["TCS Innovation Labs, Tata Consultancy Services,India","TCS Innovation Labs, Tata Consultancy Services, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041057249","display_name":"Suryakant Sawant","orcid":"https://orcid.org/0000-0001-5982-4432"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suryakant Sawant","raw_affiliation_strings":["TCS Innovation Labs, Tata Consultancy Services,India","TCS Innovation Labs, Tata Consultancy Services, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056268401","display_name":"Ankur Pandit","orcid":"https://orcid.org/0000-0002-5299-7047"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankur Pandit","raw_affiliation_strings":["TCS Innovation Labs, Tata Consultancy Services,India","TCS Innovation Labs, Tata Consultancy Services, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103866503","display_name":"Srinivasu Pappula","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasu Pappula","raw_affiliation_strings":["TCS Innovation Labs, Tata Consultancy Services,India","TCS Innovation Labs, Tata Consultancy Services, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services,India","institution_ids":["https://openalex.org/I55215948"]},{"raw_affiliation_string":"TCS Innovation Labs, Tata Consultancy Services, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1608,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58956175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1941","last_page":"1944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9909999966621399,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.8889235258102417},{"id":"https://openalex.org/keywords/kharif-crop","display_name":"Kharif crop","score":0.8694895505905151},{"id":"https://openalex.org/keywords/sowing","display_name":"Sowing","score":0.7325040102005005},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.6886250972747803},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.49205416440963745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4533585011959076},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35779911279678345},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.33664003014564514},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.24463623762130737},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.167767733335495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1393105685710907},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13849946856498718}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.8889235258102417},{"id":"https://openalex.org/C153136566","wikidata":"https://www.wikidata.org/wiki/Q3631460","display_name":"Kharif crop","level":3,"score":0.8694895505905151},{"id":"https://openalex.org/C168741863","wikidata":"https://www.wikidata.org/wiki/Q777671","display_name":"Sowing","level":2,"score":0.7325040102005005},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.6886250972747803},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.49205416440963745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4533585011959076},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35779911279678345},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.33664003014564514},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.24463623762130737},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.167767733335495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1393105685710907},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13849946856498718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323482","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1535279904","https://openalex.org/W2014187500","https://openalex.org/W2021603915","https://openalex.org/W2604086375","https://openalex.org/W2725897987","https://openalex.org/W2767953525","https://openalex.org/W2791592925","https://openalex.org/W2888489210","https://openalex.org/W2890616304","https://openalex.org/W2966240152","https://openalex.org/W2969621454","https://openalex.org/W2972108222","https://openalex.org/W3165064679"],"related_works":["https://openalex.org/W4288758469","https://openalex.org/W4313345997","https://openalex.org/W4390674363","https://openalex.org/W3084940433","https://openalex.org/W3081876098","https://openalex.org/W2796013402","https://openalex.org/W3092637769","https://openalex.org/W3088299705","https://openalex.org/W3094267659","https://openalex.org/W3088674989"],"abstract_inverted_index":{"The":[0,27,54,68],"main":[1],"objective":[2],"of":[3,8,17,34,39,45,62,111,120,134,139,143,156,174],"this":[4],"paper":[5],"is":[6],"mapping":[7],"Soybean":[9,40,104,121,148],"and":[10,19,22,36,41,51,79,83,94,103,116,122,136,145,149,159,176,193],"Cotton":[11,42,102,150],"crop":[12,184],"area":[13,105],"using":[14,43,153],"the":[15,32,109,137,172],"integration":[16],"Sentinel-1":[18,69],"2":[20],"observations":[21,70],"Deep":[23],"Neural":[24],"Networks":[25],"(DNN).":[26],"present":[28],"research":[29],"also":[30],"attempted":[31],"identification":[33,142],"early":[35,144,175],"late":[37,146,177],"sowing":[38,195],"time-series":[44,155],"Normalized":[46,84],"Difference":[47,85],"Vegetation":[48],"Index":[49,87],"(NDVI)":[50],"VH":[52,157],"backscatter.":[53],"study":[55],"was":[56,151,169],"carried":[57],"out":[58],"in":[59],"Wardha":[60],"district":[61],"Maharashtra,":[63],"India":[64],"during":[65,72,90],"Kharif":[66],"2019.":[67],"available":[71],"15":[73],"Jun.":[74],"to":[75,92,96],"30":[76],"Nov.":[77,97],"2019":[78,98],"Sentinel-2":[80],"maximum":[81],"NDVI":[82],"Water":[86],"(NDWI)":[88],"composites":[89],"Aug.":[91],"Sept.":[93],"Oct.":[95],"were":[99],"used":[100],"for":[101,118,171],"mapping.":[106],"We":[107],"evaluated":[108],"performance":[110],"tuned":[112],"Random":[113],"Forest":[114],"(RF)":[115],"DNN":[117,127],"classification":[119],"Cotton.":[123],"Results":[124],"showed":[125],"that":[126],"performs":[128],"better":[129],"with":[130,164,182],"an":[131],"overall":[132],"accuracy":[133],"89.15%":[135],"F-score":[138],"0.856.":[140],"Further,":[141],"sown":[147,178],"performed":[152],"short":[154],"backscatter":[158],"NDVI.":[160],"Local":[161],"minima":[162],"along":[163],"subsequent":[165],"increase/decrease":[166],"based":[167],"approach":[168],"developed":[170],"separation":[173],"crop.":[179],"Visual":[180],"comparison":[181],"geo-tagged":[183],"growth":[185],"stage":[186],"images":[187],"shows":[188],"good":[189],"agreement":[190],"between":[191],"estimated":[192],"actual":[194],"time":[196],"window.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}