{"id":"https://openalex.org/W2123630019","doi":"https://doi.org/10.1109/igarss.2007.4423391","title":"Analyses of hyperspectral directional data from CHRIS/PROBA using land surface models","display_name":"Analyses of hyperspectral directional data from CHRIS/PROBA using land surface models","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2123630019","doi":"https://doi.org/10.1109/igarss.2007.4423391","mag":"2123630019"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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/A5046384625","display_name":"Heike Bach","orcid":"https://orcid.org/0000-0001-8060-2498"},"institutions":[{"id":"https://openalex.org/I4210111978","display_name":"Remote Sensing Solutions (Germany)","ror":"https://ror.org/023cs4y60","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210111978"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heike Bach","raw_affiliation_strings":["VISTA Remote Sensing in Geosciences GmbH, Munich, Germany","MunichVISTA Remote Sensing in Geosciences GmbH, Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISTA Remote Sensing in Geosciences GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210111978"]},{"raw_affiliation_string":"MunichVISTA Remote Sensing in Geosciences GmbH, Munich","institution_ids":["https://openalex.org/I4210111978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068675182","display_name":"Silke Begiebing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111978","display_name":"Remote Sensing Solutions (Germany)","ror":"https://ror.org/023cs4y60","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210111978"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Silke Begiebing","raw_affiliation_strings":["VISTA Remote Sensing in Geosciences GmbH, Munich, Germany","MunichVISTA Remote Sensing in Geosciences GmbH, Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VISTA Remote Sensing in Geosciences GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210111978"]},{"raw_affiliation_string":"MunichVISTA Remote Sensing in Geosciences GmbH, Munich","institution_ids":["https://openalex.org/I4210111978"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210111978"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11768578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2665","last_page":"2668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/remote-sensing","display_name":"Remote sensing","score":0.7499276399612427},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7204763889312744},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6871223449707031},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.6180328130722046},{"id":"https://openalex.org/keywords/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.607506275177002},{"id":"https://openalex.org/keywords/atmospheric-radiative-transfer-codes","display_name":"Atmospheric radiative transfer codes","score":0.5326767563819885},{"id":"https://openalex.org/keywords/modtran","display_name":"MODTRAN","score":0.5168002843856812},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4918384552001953},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.47693461179733276},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.44211143255233765},{"id":"https://openalex.org/keywords/atmospheric-correction","display_name":"Atmospheric correction","score":0.4294653534889221},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.42650237679481506},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.3316776156425476},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.31042933464050293},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.28569746017456055},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19700145721435547},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1332334578037262},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09028252959251404},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08252999186515808}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7499276399612427},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7204763889312744},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6871223449707031},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.6180328130722046},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.607506275177002},{"id":"https://openalex.org/C199390426","wikidata":"https://www.wikidata.org/wiki/Q2353151","display_name":"Atmospheric radiative transfer codes","level":3,"score":0.5326767563819885},{"id":"https://openalex.org/C2776445388","wikidata":"https://www.wikidata.org/wiki/Q6716998","display_name":"MODTRAN","level":3,"score":0.5168002843856812},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4918384552001953},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.47693461179733276},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.44211143255233765},{"id":"https://openalex.org/C2778329001","wikidata":"https://www.wikidata.org/wiki/Q4817104","display_name":"Atmospheric correction","level":3,"score":0.4294653534889221},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.42650237679481506},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.3316776156425476},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.31042933464050293},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.28569746017456055},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19700145721435547},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1332334578037262},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09028252959251404},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08252999186515808},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","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/igarss.2007.4423391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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":12,"referenced_works":["https://openalex.org/W118953334","https://openalex.org/W283073970","https://openalex.org/W2002934707","https://openalex.org/W2008527613","https://openalex.org/W2066612219","https://openalex.org/W2067770019","https://openalex.org/W2115539456","https://openalex.org/W2146285661","https://openalex.org/W2165124968","https://openalex.org/W2323601087","https://openalex.org/W6610277540","https://openalex.org/W6700875231"],"related_works":["https://openalex.org/W1515729468","https://openalex.org/W2003598231","https://openalex.org/W2013804904","https://openalex.org/W1992176328","https://openalex.org/W2089286582","https://openalex.org/W1991914401","https://openalex.org/W2363953847","https://openalex.org/W1999950878","https://openalex.org/W1979495938","https://openalex.org/W2233979110"],"abstract_inverted_index":{"Hyperspectral,":[0],"directional":[1,54,99],"remote":[2],"sensing":[3],"data":[4,24,150,185],"as":[5,41,43],"provided":[6],"from":[7,148],"the":[8,37,71,75,96,106,119,183,204],"CHRIS":[9,149,184],"sensor":[10],"on":[11,66,78,191,211],"PROBA":[12],"open":[13],"new":[14],"facilities":[15],"for":[16,33,44,60,118],"land":[17,45,137,161],"applications,":[18],"since":[19],"this":[20],"kind":[21],"of":[22,151,195],"optical":[23],"allows":[25],"quantitative":[26],"analyses":[27],"using":[28],"physically":[29],"based":[30,65,168],"models":[31],"both":[32],"radiative":[34,107],"transfer":[35,108],"in":[36,109,131,155,175],"atmosphere":[38],"and":[39,53,80,98,111,122,142,163,198,215],"canopy,":[40],"well":[42],"surface":[46,138,143],"processes.":[47],"It":[48],"is":[49,91,127,170,186],"demonstrated":[50],"how":[51],"hyperspectral":[52],"information":[55,59,190,210],"can":[56],"deliver":[57],"required":[58],"an":[61,132],"autonomous":[62],"atmospheric":[63,76],"correction":[64],"MODTRAN":[67],"4":[68],"simulations.":[69],"From":[70],"satellite":[72],"images":[73],"themselves":[74],"properties":[77,139],"visibility":[79],"water":[81],"vapor":[82],"content":[83],"are":[84,146,154],"retrieved.":[85],"The":[86,166,178,201],"soil-leaf-canopy":[87],"reflectance":[88,121],"model":[89,167,180,206],"SLC":[90,104,130,179],"further":[92],"used":[93,187],"to":[94,188],"interpret":[95],"spectral":[97],"signatures":[100],"measured":[101],"by":[102],"CHRIS.":[103],"simulates":[105],"leaves":[110],"canopies.":[112],"A":[113],"non-Lambertian":[114],"soil":[115,120,144,164],"BRDF":[116],"submodel":[117],"its":[123],"variation":[124],"with":[125,182,203],"moisture":[126,145],"incorporated.":[128],"Using":[129],"inverse":[133],"mode,":[134],"bio-":[135],"geophysical":[136],"like":[140],"LAI":[141],"retrieved":[147],"Tunisia.":[152],"These":[153],"a":[156],"next":[157],"step":[158],"translated":[159],"into":[160],"use":[162],"classes.":[165],"approach":[169],"followed":[171],"even":[172],"more":[173],"consequently":[174],"agricultural":[176],"applications.":[177],"together":[181],"provide":[189],"leaf":[192],"area,":[193],"fraction":[194],"senescent":[196],"material":[197],"canopy":[199],"structure.":[200],"combination":[202],"growth":[205],"PROMET-V":[207],"additionally":[208],"provides":[209],"phenological":[212],"development,":[213],"biomass":[214],"yield.":[216]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
