{"id":"https://openalex.org/W2740880416","doi":"https://doi.org/10.1109/whispers.2013.8080634","title":"Mapping tillage practices over a peri-urban region using artificial neural networks applied to combined spot and asar/envisat images","display_name":"Mapping tillage practices over a peri-urban region using artificial neural networks applied to combined spot and asar/envisat images","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2740880416","doi":"https://doi.org/10.1109/whispers.2013.8080634","mag":"2740880416"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2013.8080634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5021666736","display_name":"Emmanuelle Vaudour","orcid":"https://orcid.org/0000-0002-4703-3702"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210134313","display_name":"Biologie et gestion des champignons phytopathog\u00e8nes","ror":"https://ror.org/049q30t56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4210134313"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vaudour Emmanuelle","raw_affiliation_strings":["AgroParisTech, Thiverval-Grignon, France","INRA, Thiverval-Grignon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech, Thiverval-Grignon, France","institution_ids":["https://openalex.org/I22248866"]},{"raw_affiliation_string":"INRA, Thiverval-Grignon, France","institution_ids":["https://openalex.org/I4210134313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046970790","display_name":"Baghdadi Nicolas","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153996","display_name":"Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale","ror":"https://ror.org/0458hw939","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Baghdadi Nicolas","raw_affiliation_strings":["IRSTEA, UMR TETIS, Montpellier, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRSTEA, UMR TETIS, Montpellier, France","institution_ids":["https://openalex.org/I4387153996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109369871","display_name":"Gilliot Jean-Marc","orcid":null},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210134313","display_name":"Biologie et gestion des champignons phytopathog\u00e8nes","ror":"https://ror.org/049q30t56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4210134313"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilliot Jean-Marc","raw_affiliation_strings":["AgroParisTech, Thiverval-Grignon, France","INRA, Thiverval-Grignon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech, Thiverval-Grignon, France","institution_ids":["https://openalex.org/I22248866"]},{"raw_affiliation_string":"INRA, Thiverval-Grignon, France","institution_ids":["https://openalex.org/I4210134313"]}]}],"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":"14","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10889","display_name":"Soil erosion and sediment transport","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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"}},"topics":[{"id":"https://openalex.org/T10889","display_name":"Soil erosion and sediment transport","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9969000220298767,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9955999851226807,"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/tillage","display_name":"Tillage","score":0.6625299453735352},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.5787425637245178},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5673460960388184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5327767133712769},{"id":"https://openalex.org/keywords/topsoil","display_name":"Topsoil","score":0.5238447189331055},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47865116596221924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.474735826253891},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.43388283252716064},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.30295529961586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.259300172328949},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16382458806037903},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.1544114649295807},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.0944506824016571}],"concepts":[{"id":"https://openalex.org/C16397148","wikidata":"https://www.wikidata.org/wiki/Q878333","display_name":"Tillage","level":2,"score":0.6625299453735352},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.5787425637245178},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5673460960388184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327767133712769},{"id":"https://openalex.org/C20529654","wikidata":"https://www.wikidata.org/wiki/Q1247456","display_name":"Topsoil","level":3,"score":0.5238447189331055},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47865116596221924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.474735826253891},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.43388283252716064},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.30295529961586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.259300172328949},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16382458806037903},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.1544114649295807},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.0944506824016571},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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":1,"locations":[{"id":"doi:10.1109/whispers.2013.8080634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2013.8080634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.44999998807907104,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1970534530","https://openalex.org/W2014917534","https://openalex.org/W2019858043","https://openalex.org/W2029484477","https://openalex.org/W2029949252","https://openalex.org/W2038971276","https://openalex.org/W2061265839","https://openalex.org/W2070358924","https://openalex.org/W2072057865","https://openalex.org/W2116890486","https://openalex.org/W2118463259","https://openalex.org/W2155220452","https://openalex.org/W2157345152","https://openalex.org/W2162480849","https://openalex.org/W2624811173","https://openalex.org/W4214564766","https://openalex.org/W4300402905","https://openalex.org/W6739726166","https://openalex.org/W6844803729"],"related_works":["https://openalex.org/W2357133576","https://openalex.org/W1534274833","https://openalex.org/W2016209990","https://openalex.org/W3117246195","https://openalex.org/W4384523843","https://openalex.org/W2350228812","https://openalex.org/W156620619","https://openalex.org/W568858832","https://openalex.org/W2060677783","https://openalex.org/W2098233217"],"abstract_inverted_index":{"This":[0],"study":[1],"aimed":[2],"at":[3],"assessing":[4],"the":[5,33,61,65,80,84,118],"potential":[6],"of":[7,18,36,64,74,83],"combining":[8],"synchronous":[9],"SPOT4":[10,66],"and":[11,70,120,127,131],"ENVISAT/ASAR":[12],"images":[13],"for":[14,96,129],"mapping":[15],"tillage":[16,50,143],"practices":[17],"bare":[19],"agricultural":[20],"fields":[21],"over":[22],"a":[23],"220":[24],"km":[25],"<sup":[26,88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[27,89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[28,90],"-peri-urban":[29],"area":[30],"located":[31],"in":[32],"western":[34],"suburbs":[35],"Paris":[37],"(France).":[38],"The":[39,110,135],"approach":[40],"relied":[41],"on":[42,100],"topsoil":[43],"roughness":[44],"measurements":[45],"combined":[46],"with":[47,106,145],"information":[48],"about":[49],"operations:":[51],"28":[52],"reference":[53],"zones":[54],"demarcated":[55],"according":[56],"to":[57,79,140],"soil":[58,142],"map":[59,141],"information,":[60],"visual":[62],"interpretation":[63],"infrared":[67],"coloured":[68],"image":[69,86],"their":[71],"standard":[72],"deviation":[73],"surface":[75],"height":[76],"were":[77,93,125],"related":[78],"backscattering":[81],"coefficient":[82],"ASAR":[85],"(R":[87],"0.70).":[91],"They":[92],"then":[94],"used":[95],"training/validating":[97],"neural":[98],"networks":[99],"co-registered":[101],"20":[102],"m-SPOT/ASAR":[103],"6":[104],"bands":[105],"15":[107],"bootstrapping":[108],"iterations.":[109],"overall":[111],"mean":[112,122],"validation":[113,123],"accuracy":[114],"was":[115],"94.9%,":[116],"while":[117],"producer's":[119],"user's":[121],"accuracies":[124],"91.6-81.5%":[126],"61.8-75.4%":[128],"smooth":[130],"rough":[132],"surfaces":[133],"respectively.":[134],"SPOT/ASAR":[136],"synergy":[137],"thus":[138],"enabled":[139],"operations":[144],"reasonable":[146],"accuracy.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}