{"id":"https://openalex.org/W2001289295","doi":"https://doi.org/10.1109/jstars.2014.2319585","title":"Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University","display_name":"Spectral Unmixing-Based Crop Residue Estimation Using Hyperspectral Remote Sensing Data: A Case Study at Purdue University","publication_year":2014,"publication_date":"2014-05-09","ids":{"openalex":"https://openalex.org/W2001289295","doi":"https://doi.org/10.1109/jstars.2014.2319585","mag":"2001289295"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2319585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2319585","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/A5003070966","display_name":"Junhwa Chi","orcid":"https://orcid.org/0000-0003-4943-3790"},"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":"Junhwa Chi","raw_affiliation_strings":["School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA","[School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","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 Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA","[School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Civil Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN, USA]","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":null,"fwci":2.2738,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.86471126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"6","first_page":"2531","last_page":"2539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9641005396842957},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6799227595329285},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6317125558853149},{"id":"https://openalex.org/keywords/crop-residue","display_name":"Crop residue","score":0.5602343082427979},{"id":"https://openalex.org/keywords/residue","display_name":"Residue (chemistry)","score":0.4617564380168915},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42401063442230225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40436068177223206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23203641176223755},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08711954951286316}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9641005396842957},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6799227595329285},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6317125558853149},{"id":"https://openalex.org/C183889291","wikidata":"https://www.wikidata.org/wiki/Q5187955","display_name":"Crop residue","level":3,"score":0.5602343082427979},{"id":"https://openalex.org/C2781338088","wikidata":"https://www.wikidata.org/wiki/Q903495","display_name":"Residue (chemistry)","level":2,"score":0.4617564380168915},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42401063442230225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40436068177223206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23203641176223755},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08711954951286316},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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.2014.2319585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2319585","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W84941271","https://openalex.org/W1582058549","https://openalex.org/W1969768110","https://openalex.org/W1985370128","https://openalex.org/W1988802668","https://openalex.org/W2000860635","https://openalex.org/W2001141328","https://openalex.org/W2003896345","https://openalex.org/W2005818237","https://openalex.org/W2006280268","https://openalex.org/W2017061778","https://openalex.org/W2028504713","https://openalex.org/W2029791678","https://openalex.org/W2037236246","https://openalex.org/W2053186076","https://openalex.org/W2063790512","https://openalex.org/W2066015174","https://openalex.org/W2067091528","https://openalex.org/W2068792798","https://openalex.org/W2070424424","https://openalex.org/W2086803282","https://openalex.org/W2089551191","https://openalex.org/W2092819825","https://openalex.org/W2102159812","https://openalex.org/W2106847794","https://openalex.org/W2107222994","https://openalex.org/W2111282613","https://openalex.org/W2113024036","https://openalex.org/W2114486983","https://openalex.org/W2117027921","https://openalex.org/W2118357699","https://openalex.org/W2127062304","https://openalex.org/W2127495569","https://openalex.org/W2130939260","https://openalex.org/W2135346934","https://openalex.org/W2147043781","https://openalex.org/W2151649773","https://openalex.org/W2154874087","https://openalex.org/W2154905357","https://openalex.org/W2156005575","https://openalex.org/W2156220628","https://openalex.org/W2157345152","https://openalex.org/W2163886442","https://openalex.org/W2315426415","https://openalex.org/W2477511126","https://openalex.org/W2913356454","https://openalex.org/W3122463936","https://openalex.org/W3195212285","https://openalex.org/W4233760599","https://openalex.org/W6634825034","https://openalex.org/W6659717275","https://openalex.org/W6673604026"],"related_works":["https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W1991437568","https://openalex.org/W2083270190","https://openalex.org/W3016689919","https://openalex.org/W2140182673","https://openalex.org/W2019294543","https://openalex.org/W365198825","https://openalex.org/W4249630545","https://openalex.org/W4252623727"],"abstract_inverted_index":{"Crop":[0],"residue":[1,39,58,108],"helps":[2],"to":[3,94,102,120,125,130],"moderate":[4],"soil":[5,20,23],"temperature":[6],"and":[7,26,45,64,105,112,163],"increase":[8,42],"water":[9],"use":[10],"efficiency":[11,44],"in":[12,19,134,140],"the":[13,138,153],"short":[14],"term,":[15],"while":[16],"providing":[17],"improvement":[18],"quality,":[21],"increasing":[22],"organic":[24],"carbon,":[25],"facilitating":[27],"biodegradation":[28],"of":[29,37,66,79,161],"pollutants":[30],"for":[31,55,72],"long-term":[32],"sustainability.":[33],"Since":[34],"good":[35],"management":[36],"crop":[38,57,107],"can":[40],"also":[41],"irrigation":[43],"reduce":[46],"erosion,":[47],"remote":[48],"sensing-based":[49],"techniques":[50],"are":[51,69,76],"receiving":[52],"increased":[53],"attention":[54],"monitoring":[56],"coverage.":[59],"Indices":[60],"based":[61],"on":[62],"differences":[63],"ratios":[65],"hyperspectral":[67,114,135,165],"bands":[68],"considered":[70],"state-of-the-art":[71],"operational":[73],"applications,":[74],"but":[75],"limited":[77],"because":[78],"low":[80],"signal-to-noise-ratio":[81],"(SNR)":[82],"image":[83],"data":[84,139],"from":[85],"pushbroom":[86],"sensors":[87],"such":[88],"as":[89,98],"Hyperion.":[90],"This":[91],"study":[92],"aims":[93],"investigate":[95],"spectral":[96],"unmixing":[97,124,128,160],"an":[99],"alternative":[100],"approach":[101],"effectively":[103],"estimate":[104],"monitor":[106],"cover":[109],"with":[110],"airborne":[111,162],"space-based":[113],"sensors.":[115],"The":[116],"secondary":[117],"aim":[118],"is":[119],"compare":[121],"traditional":[122],"linear":[123,159],"manifold":[126,144],"learning-based":[127],"approaches":[129,146],"capture":[131],"nonlinearities":[132],"inherent":[133],"data.":[136,166],"For":[137],"this":[141],"case":[142],"study,":[143],"learning":[145],"provide":[147],"more":[148],"robust":[149],"estimates":[150],"than":[151],"either":[152],"cellulose":[154],"absorption":[155],"index":[156],"(CAI)":[157],"or":[158],"Hyperion":[164]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}