{"id":"https://openalex.org/W2100034272","doi":"https://doi.org/10.1109/igarss.2007.4423037","title":"Retrieving land cover information from MERIS and MODIS Data: a comparative study for landscape characterization in Portugal","display_name":"Retrieving land cover information from MERIS and MODIS Data: a comparative study for landscape characterization in Portugal","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2100034272","doi":"https://doi.org/10.1109/igarss.2007.4423037","mag":"2100034272"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423037","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/A5046734665","display_name":"Hugo Carr\u00e3o","orcid":"https://orcid.org/0000-0002-7883-0106"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Hugo Carrao","raw_affiliation_strings":["Research Centre for Statistics and Information Management, Institute for Statistics and Information Management, Universidade Nova de Lisboa, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Centre for Statistics and Information Management, Institute for Statistics and Information Management, Universidade Nova de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018054810","display_name":"Pedro Sarmento","orcid":"https://orcid.org/0000-0001-7572-5223"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro Sarmento","raw_affiliation_strings":["Remote Sensing Unit, Portuguese Geographical Institute, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Unit, Portuguese Geographical Institute, Lisboa, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082760574","display_name":"Ant\u00f4nio Henriques de Ara\u00fajo","orcid":"https://orcid.org/0000-0001-5167-3828"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antonio Araujo","raw_affiliation_strings":["Remote Sensing Unit, Portuguese Geographical Institute, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Unit, Portuguese Geographical Institute, Lisboa, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036092722","display_name":"M\u00e1rio Caetano","orcid":"https://orcid.org/0000-0001-8913-7342"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Mario Caetano","raw_affiliation_strings":["Research Centre for Statistics and Information Management, Institute for Statistics and Information Management, Universidade Nova de Lisboa, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Centre for Statistics and Information Management, Institute for Statistics and Information Management, Universidade Nova de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6412,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73026256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4891","issue":null,"first_page":"1271","last_page":"1274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.8505592346191406},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6527504324913025},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5278617739677429},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4950079321861267},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.44045186042785645},{"id":"https://openalex.org/keywords/fragmentation","display_name":"Fragmentation (computing)","score":0.4363253116607666},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.42544063925743103},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42445439100265503},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.41276130080223083},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.35341185331344604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30307894945144653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1564081311225891},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08561423420906067}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.8505592346191406},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6527504324913025},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5278617739677429},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4950079321861267},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.44045186042785645},{"id":"https://openalex.org/C191015642","wikidata":"https://www.wikidata.org/wiki/Q1132459","display_name":"Fragmentation (computing)","level":2,"score":0.4363253116607666},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42544063925743103},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42445439100265503},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.41276130080223083},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.35341185331344604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30307894945144653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1564081311225891},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08561423420906067},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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.2007.4423037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423037","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":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W133980931","https://openalex.org/W207093456","https://openalex.org/W302701765","https://openalex.org/W1967723109","https://openalex.org/W1975951301","https://openalex.org/W2072996190","https://openalex.org/W2096073528","https://openalex.org/W2114828048","https://openalex.org/W2133341703","https://openalex.org/W2168867644","https://openalex.org/W2169526039","https://openalex.org/W2973020968","https://openalex.org/W4285719527","https://openalex.org/W6605463291"],"related_works":["https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W2547534968","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607"],"abstract_inverted_index":{"This":[0],"is":[1,97],"a":[2,38,54],"preliminary":[3],"study":[4],"in":[5,63,70,83],"the":[6,17,89,103],"framework":[7],"of":[8,19,42,56,75,102],"an":[9],"ongoing":[10],"research":[11],"work":[12],"that":[13,68],"aims":[14],"at":[15,28,105],"comparing":[16],"aptitude":[18],"MERIS":[20,45],"and":[21,32,44,72],"MODIS":[22,43],"images":[23,46,77],"for":[24,59],"land":[25,60,84,94],"cover":[26,61,85,95],"mapping":[27],"regional":[29],"scale.":[30],"Overall":[31],"per":[33],"class":[34],"accuracies":[35],"achieved":[36],"with":[37],"Maximum":[39],"Likelihood":[40],"classification":[41],"acquired":[47],"during":[48],"August":[49],"2005,":[50],"are":[51],"used":[52,76],"as":[53],"measurement":[55],"their":[57],"adequacy":[58],"characterization":[62],"Portugal.":[64],"Attained":[65],"results":[66],"show":[67],"differences":[69],"spatial":[71,107],"spectral":[73],"resolutions":[74],"do":[78],"not":[79],"produce":[80],"overly":[81],"disparities":[82],"classes'":[86],"discrimination.":[87],"Still,":[88],"separation":[90],"between":[91],"such":[92,106],"numerous":[93],"classes":[96],"hampered":[98],"by":[99],"landscape":[100],"fragmentation":[101],"territory":[104],"resolution.":[108]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}