{"id":"https://openalex.org/W2041736985","doi":"https://doi.org/10.1109/igarss.2015.7326550","title":"Agricultural monitoring assessment based on low spatial and high temporal resolution satellite: A comparison of AVHRR and MODIS","display_name":"Agricultural monitoring assessment based on low spatial and high temporal resolution satellite: A comparison of AVHRR and MODIS","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2041736985","doi":"https://doi.org/10.1109/igarss.2015.7326550","mag":"2041736985"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5041798408","display_name":"R. Scrivani","orcid":"https://orcid.org/0000-0003-3703-3300"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]},{"id":"https://openalex.org/I199691007","display_name":"Brazilian Agricultural Research Corporation","ror":"https://ror.org/0482b5b22","country_code":"BR","type":"government","lineage":["https://openalex.org/I199691007"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. Scrivani","raw_affiliation_strings":["Cepagri-University of Campinas (Unicamp), Campinas, Brazil","Embrapa Agriculture Informatics, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cepagri-University of Campinas (Unicamp), Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Embrapa Agriculture Informatics, Campinas, Brazil","institution_ids":["https://openalex.org/I199691007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111476901","display_name":"R. R. V. Gon\u00e7alves","orcid":"https://orcid.org/0009-0000-2240-4557"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R. R. V. Goncalves","raw_affiliation_strings":["Cepagri-University of Campinas (Unicamp), Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cepagri-University of Campinas (Unicamp), Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018315021","display_name":"Jurandir Zullo","orcid":"https://orcid.org/0000-0002-5945-4918"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J. Zullo","raw_affiliation_strings":["Cepagri-University of Campinas (Unicamp), Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cepagri-University of Campinas (Unicamp), Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203680","display_name":"L. A. S. Romani","orcid":"https://orcid.org/0000-0002-7386-3515"},"institutions":[{"id":"https://openalex.org/I199691007","display_name":"Brazilian Agricultural Research Corporation","ror":"https://ror.org/0482b5b22","country_code":"BR","type":"government","lineage":["https://openalex.org/I199691007"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L. A. S. Romani","raw_affiliation_strings":["Embrapa Agriculture Informatics, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embrapa Agriculture Informatics, Campinas, Brazil","institution_ids":["https://openalex.org/I199691007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1277,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93564356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"3405","last_page":"3408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9872999787330627,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9248999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6792331337928772},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6511051058769226},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6241074204444885},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6073118448257446},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5774160027503967},{"id":"https://openalex.org/keywords/advanced-very-high-resolution-radiometer","display_name":"Advanced very-high-resolution radiometer","score":0.4715718626976013},{"id":"https://openalex.org/keywords/northern-hemisphere","display_name":"Northern Hemisphere","score":0.4512089192867279},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44964703917503357},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4391151964664459},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.4306792616844177},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3763965666294098},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21901503205299377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18148395419120789},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.14515331387519836},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11038810014724731},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.0700458288192749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0647260844707489}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6792331337928772},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6511051058769226},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6241074204444885},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6073118448257446},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5774160027503967},{"id":"https://openalex.org/C2777480484","wikidata":"https://www.wikidata.org/wiki/Q300146","display_name":"Advanced very-high-resolution radiometer","level":3,"score":0.4715718626976013},{"id":"https://openalex.org/C2778835443","wikidata":"https://www.wikidata.org/wiki/Q39061","display_name":"Northern Hemisphere","level":2,"score":0.4512089192867279},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44964703917503357},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4391151964664459},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.4306792616844177},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3763965666294098},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21901503205299377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18148395419120789},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.14515331387519836},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11038810014724731},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0700458288192749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0647260844707489},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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":4,"referenced_works":["https://openalex.org/W1987282071","https://openalex.org/W2030297232","https://openalex.org/W2035755931","https://openalex.org/W2053086167"],"related_works":["https://openalex.org/W2406222492","https://openalex.org/W1560398682","https://openalex.org/W2109880334","https://openalex.org/W2564727500","https://openalex.org/W2125091751","https://openalex.org/W2084320955","https://openalex.org/W2909519857","https://openalex.org/W2531882454","https://openalex.org/W1582060251","https://openalex.org/W2007610397"],"abstract_inverted_index":{"In":[0],"this":[1,51],"context,":[2],"we":[3],"have":[4],"assessed":[5],"the":[6,39,44],"potential":[7],"of":[8,35,42,94],"using":[9],"low":[10],"spatial":[11],"resolution":[12],"satellites":[13],"in":[14,38,50,88],"agricultural":[15],"monitoring":[16],"comparing":[17],"long-term":[18],"NDVI":[19],"time":[20,56],"series":[21,57],"from":[22],"AVHRR":[23,78],"and":[24,28,59,66],"MODIS":[25,80,83],"(1":[26],"km":[27],"250":[29],"m),":[30],"analyzing":[31],"more":[32],"specifically":[33],"areas":[34,93],"sugarcane":[36,95],"production":[37],"southeastern":[40],"region":[41,90],"Brazil,":[43],"southern":[45],"hemisphere.":[46],"The":[47],"methodology":[48],"employed":[49],"work":[52],"is":[53,73],"based":[54],"on":[55],"mining":[58],"statistical":[60],"methods,":[61],"such":[62],"as":[63],"Pearsons":[64],"correlation":[65,76],"linear":[67],"regression.":[68],"Results":[69],"showed":[70],"that":[71],"there":[72],"a":[74,89],"strong":[75],"among":[77],"with":[79,91],"1km":[81],"or":[82],"250m.":[84],"Experiments":[85],"were":[86],"applied":[87],"large":[92],"fields.":[96]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}