{"id":"https://openalex.org/W2107053671","doi":"https://doi.org/10.1109/igarss.2002.1026526","title":"Improving AMBRALS using new GO kernel","display_name":"Improving AMBRALS using new GO kernel","publication_year":2003,"publication_date":"2003-10-01","ids":{"openalex":"https://openalex.org/W2107053671","doi":"https://doi.org/10.1109/igarss.2002.1026526","mag":"2107053671"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1026526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","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/A5101850450","display_name":"Hua Yang","orcid":"https://orcid.org/0009-0000-1050-6177"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yang","raw_affiliation_strings":["Research Center for Remote Sensing, Department Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing, Department Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717703","display_name":"Xiaowen Li","orcid":"https://orcid.org/0000-0001-9776-5680"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xiaowen Li","raw_affiliation_strings":["Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA","Research Center for Remote Sensing, Department Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046","https://openalex.org/I4210117728"]},{"raw_affiliation_string":"Research Center for Remote Sensing, Department Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362401","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-1865-2846"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046","https://openalex.org/I4210117728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056336938","display_name":"Lingmei Jiang","orcid":"https://orcid.org/0000-0002-9847-9034"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingmei Jiang","raw_affiliation_strings":["Research Center for Remote Sensing, Department Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing, Department Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2305","last_page":"2307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12019","display_name":"Calibration and Measurement Techniques","score":0.9980000257492065,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9980000257492065,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9846000075340271,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.8280255794525146},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.8156052827835083},{"id":"https://openalex.org/keywords/zenith","display_name":"Zenith","score":0.7467710971832275},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.6921522617340088},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.6470656394958496},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5714805126190186},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.556530237197876},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5467745661735535},{"id":"https://openalex.org/keywords/solar-zenith-angle","display_name":"Solar zenith angle","score":0.5060679316520691},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4971151649951935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4708744287490845},{"id":"https://openalex.org/keywords/kernel-smoother","display_name":"Kernel smoother","score":0.45826277136802673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43798524141311646},{"id":"https://openalex.org/keywords/string-kernel","display_name":"String kernel","score":0.43557608127593994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4272534251213074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2860850989818573},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2372506558895111},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.18712633848190308},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15636250376701355},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1453501284122467},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12396195530891418},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09361696243286133},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.05778053402900696}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8280255794525146},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.8156052827835083},{"id":"https://openalex.org/C53970728","wikidata":"https://www.wikidata.org/wiki/Q82806","display_name":"Zenith","level":2,"score":0.7467710971832275},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.6921522617340088},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.6470656394958496},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5714805126190186},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.556530237197876},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5467745661735535},{"id":"https://openalex.org/C2776573159","wikidata":"https://www.wikidata.org/wiki/Q7556691","display_name":"Solar zenith angle","level":2,"score":0.5060679316520691},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4971151649951935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4708744287490845},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.45826277136802673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43798524141311646},{"id":"https://openalex.org/C55851704","wikidata":"https://www.wikidata.org/wiki/Q7623983","display_name":"String kernel","level":5,"score":0.43557608127593994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4272534251213074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2860850989818573},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2372506558895111},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.18712633848190308},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15636250376701355},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1453501284122467},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12396195530891418},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09361696243286133},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.05778053402900696}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1026526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1965682604","https://openalex.org/W1973068748","https://openalex.org/W2002664568","https://openalex.org/W2031474541","https://openalex.org/W2170846069","https://openalex.org/W2291580189","https://openalex.org/W2380334745","https://openalex.org/W4385438173","https://openalex.org/W4385438272"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W3100948281","https://openalex.org/W2535206775","https://openalex.org/W4291669689","https://openalex.org/W2353199197","https://openalex.org/W2351222813","https://openalex.org/W2974741803","https://openalex.org/W2384322977","https://openalex.org/W2371064519","https://openalex.org/W2098028537"],"abstract_inverted_index":{"Kernel-driven":[0],"BRDF":[1,18],"(bi-directional":[2],"reflectance":[3],"distribution)":[4],"model":[5,68],"was":[6,33],"the":[7,10,23,28,63,96,104,128,131,162,165,168,171,188,194,203,215,218,221],"core":[8],"of":[9,26,66,73,100,107,112,130,161,164,170,196,206,217],"AMBRALS,":[11,27],"an":[12,148],"algorithm":[13,219],"for":[14,147],"MODIS":[15,122],"land":[16],"surface":[17],"and":[19,59,136],"albedo":[20],"products.":[21],"In":[22,198],"onboard":[24],"version":[25,106],"LiSparseR":[29,70,90,101],"Geometrical-Optical":[30],"(GO)":[31],"kernel":[32,39,42,50,53,98,102,132,208],"used.":[34],"But":[35],"a":[36,158,184],"new":[37,105],"derived":[38],"-":[40],"LiTransit":[41,97,207],"is":[43,57],"also":[44],"good":[45],"at":[46,220],"transition":[47],"from":[48],"LiSparse":[49],"to":[51,62,84,156,182,192,209],"LiDense":[52],"when":[54,82],"zenith":[55,87,190],"angle":[56,191],"large,":[58],"accords":[60],"more":[61,80],"basic":[64],"principle":[65],"GO":[67],"than":[69,178],"kernel.":[71,91,197],"Results":[72],"validation":[74],"show:":[75],"RossThick-LiTransit":[76],"kernels":[77,172],"combination":[78],"has":[79],"stability":[81],"extrapolated":[83],"large":[85],"sun":[86],"angles":[88],"with":[89],"Therefore,":[92],"we":[93,125,154,201],"will":[94],"use":[95,183],"instead":[99,210],"in":[103],"AMBRALS.":[108],"The":[109],"speed":[110],"requirement":[111],"tremendous":[113],"data":[114,150],"processing":[115,151],"can't":[116],"be":[117],"meet":[118],"easily,":[119],"such":[120],"as":[121],"data.":[123],"Although":[124],"can":[126],"calculate":[127],"integration":[129,163,195],"beforehand,":[133],"store":[134],"up":[135],"acquire":[137],"through":[138],"look-up":[139],"table":[140],"method":[141],"during":[142],"retrieving":[143],"albedo,":[144],"it's":[145,180],"inconvenient":[146],"integrated":[149],"system.":[152],"Thus":[153],"need":[155],"get":[157],"simple":[159],"form":[160],"kernels.":[166],"Because":[167],"integrations":[169],"are":[173],"approximately":[174],"independent":[175],"on":[176,187],"directions":[177],"BRDF,":[179],"sufficient":[181],"polynome":[185,204],"dependent":[186],"solar":[189],"regress":[193],"this":[199],"paper,":[200],"study":[202],"regression":[205],"LiSparseR,":[211],"but":[212],"not":[213],"affect":[214],"systematic":[216],"same":[222],"time.":[223]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}