{"id":"https://openalex.org/W2086803282","doi":"https://doi.org/10.1109/jstars.2012.2222355","title":"Crop Residue Modeling and Mapping Using Landsat, ALI, Hyperion and Airborne Remote Sensing Data","display_name":"Crop Residue Modeling and Mapping Using Landsat, ALI, Hyperion and Airborne Remote Sensing Data","publication_year":2013,"publication_date":"2013-02-05","ids":{"openalex":"https://openalex.org/W2086803282","doi":"https://doi.org/10.1109/jstars.2012.2222355","mag":"2086803282"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2012.2222355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2012.2222355","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5036770941","display_name":"Magda S. Galloza","orcid":"https://orcid.org/0000-0002-4713-1951"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Magda S. Galloza","raw_affiliation_strings":["School of Civil Engineering, Purdue University, West Lafayette, IN, USA","School of Civil Engineering; Purdue University; West Lafayette; IN; USA"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Civil Engineering; Purdue University; West Lafayette; IN; USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002083374","display_name":"Melba M. Crawford","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melba M. Crawford","raw_affiliation_strings":["School of Civil Engineering and the Department of Agronomy, Purdue University, West Lafayette, IN, USA","[Department of Agronomy, Purdue University, West Lafayette, IN, USA]"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and the Department of Agronomy, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[Department of Agronomy, Purdue University, West Lafayette, IN, USA]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063611939","display_name":"Gary C. Heathman","orcid":null},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I4210145493","display_name":"National Soil Erosion Research Laboratory","ror":"https://ror.org/04cnk3y09","country_code":"US","type":"facility","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307","https://openalex.org/I4210145493","https://openalex.org/I4210154632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary C. Heathman","raw_affiliation_strings":["USDA-ARS National Soil Erosion Research Laboratory, West Lafayette, IN, USA","USDA-ARS, National Soil Erosion Research Lab, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"USDA-ARS National Soil Erosion Research Laboratory, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I4210145493"]},{"raw_affiliation_string":"USDA-ARS, National Soil Erosion Research Lab, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I1312222531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036770941"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.5745,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.83036621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"2","first_page":"446","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994000196456909,"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":0.9994000196456909,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9972000122070312,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8706319332122803},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.8027403354644775},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.6034262180328369},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5939503908157349},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5667291283607483},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4905197024345398},{"id":"https://openalex.org/keywords/crop-residue","display_name":"Crop residue","score":0.44831281900405884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.333152711391449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3098113238811493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18583667278289795},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.15995746850967407},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13680240511894226}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8706319332122803},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8027403354644775},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.6034262180328369},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5939503908157349},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5667291283607483},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4905197024345398},{"id":"https://openalex.org/C183889291","wikidata":"https://www.wikidata.org/wiki/Q5187955","display_name":"Crop residue","level":3,"score":0.44831281900405884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.333152711391449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3098113238811493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18583667278289795},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.15995746850967407},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13680240511894226},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2012.2222355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2012.2222355","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320332605","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1934817512","https://openalex.org/W1971962687","https://openalex.org/W1974118585","https://openalex.org/W1982048960","https://openalex.org/W1983668139","https://openalex.org/W1985370128","https://openalex.org/W1994815372","https://openalex.org/W2010792682","https://openalex.org/W2028460800","https://openalex.org/W2029791678","https://openalex.org/W2037714040","https://openalex.org/W2039060633","https://openalex.org/W2049760535","https://openalex.org/W2051438985","https://openalex.org/W2056211433","https://openalex.org/W2063087645","https://openalex.org/W2074597716","https://openalex.org/W2089551191","https://openalex.org/W2097428353","https://openalex.org/W2108119441","https://openalex.org/W2112457480","https://openalex.org/W2132690181","https://openalex.org/W2144994528","https://openalex.org/W2147745896","https://openalex.org/W2147746661","https://openalex.org/W2148691574","https://openalex.org/W2151881447","https://openalex.org/W2163145639","https://openalex.org/W6643169647"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2342509369","https://openalex.org/W3209970181","https://openalex.org/W2061775097","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041"],"abstract_inverted_index":{"Various":[0],"studies":[1],"have":[2],"demonstrated":[3],"that":[4,47],"spectral":[5],"indices":[6,95,102,130],"derived":[7,39,62,144],"from":[8,40,63,145],"remotely":[9],"sensed":[10],"data":[11,68,107,155],"can":[12],"be":[13],"used":[14],"to":[15,46,86,96,137,157],"quantify":[16],"crop":[17,110],"residue":[18,111],"cover,":[19],"if":[20],"adequately":[21],"calibrated":[22],"using":[23,124],"in":[24,134,152],"situ":[25],"data.":[26,127],"This":[27],"study":[28],"evaluates":[29],"the":[30,33,54,57,88,138,146,168],"capability":[31,91,136,166],"of":[32,48,56,92,99,171],"Normalized":[34],"Difference":[35],"Tillage":[36],"Index":[37,60],"(NDTI)":[38],"Advance":[41],"Land":[42],"Imager":[43],"(ALI)":[44],"relative":[45],"Landsat":[49,125],"Thematic":[50],"Mapper":[51],"(TM)":[52],"and":[53,65,163],"performance":[55],"Cellulose":[58],"Absorption":[59],"(CAI)":[61],"Hyperion":[64],"airborne":[66],"hyperspectral":[67,93],"acquired":[69],"over":[70,103,167],"central":[71],"Indiana":[72],"watersheds.":[73],"A":[74],"framework":[75],"based":[76,94,101,129,140],"on":[77],"Cumulative":[78],"Distribution":[79],"Function":[80],"(CDF)":[81],"matching":[82,148],"is":[83],"also":[84],"proposed":[85],"leverage":[87],"superior":[89,133],"predictive":[90,135,165],"improve":[97],"predictions":[98],"multispectral":[100],"extended":[104],"regions.":[105],"ALI":[106],"consistently":[108],"yielded":[109],"models":[112,159],"with":[113,160],"lower":[114,161],"root":[115],"mean":[116],"square":[117],"error":[118],"(RMSE)":[119],"values":[120],"than":[121],"those":[122],"developed":[123],"TM":[126],"Hyperspectral":[128],"were":[131,150],"generally":[132],"NDTI":[139],"predictions.":[141],"Observation":[142],"operators":[143],"CDF":[147],"method":[149],"successful":[151],"scaling":[153],"multiple":[154],"sets":[156],"achieve":[158],"RMSE":[162],"improved":[164],"entire":[169],"range":[170],"index":[172],"values.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
