Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization

Detalhes bibliográficos
Autor(a) principal: Ruhoff, Anderson Luis
Data de Publicação: 2017
Outros Autores: Adamatti, Daniela Santini
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/222151
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spelling Ruhoff, Anderson LuisAdamatti, Daniela SantiniEuropean Geosciences Union. General Assembly. (19 : 2017 : Viena, Austria)2021-06-15T04:28:44Z20171607-7962http://hdl.handle.net/10183/222151001027153application/pdfengEuropean Geosciences Union. General Assembly (19. : 2017 : Viena, Austria). Geophysical Research Abstracts. Göttingen : Copernicus GmbH, 2017.Sensoriamento remotoDados meteorologicosSensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterizationEstrangeiroinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001027153.pdf.txt001027153.pdf.txtExtracted Texttext/plain2881http://www.lume.ufrgs.br/bitstream/10183/222151/2/001027153.pdf.txte38398857b4794c89b736f1078de1ba9MD52ORIGINAL001027153.pdfResumoapplication/pdf36124http://www.lume.ufrgs.br/bitstream/10183/222151/1/001027153.pdfb2e15ab0e2e8d9813b5a67fbeb5f101eMD5110183/2221512021-06-26 04:42:57.52461oai:www.lume.ufrgs.br:10183/222151Repositório InstitucionalPUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.bropendoar:2021-06-26T07:42:57Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
title Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
spellingShingle Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
Ruhoff, Anderson Luis
Sensoriamento remoto
Dados meteorologicos
title_short Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
title_full Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
title_fullStr Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
title_full_unstemmed Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
title_sort Sensitivity of MODIS evapotranspiration algorithm (MOD16) to the acuracy of meteorological data and land use and land cover parameterization
author Ruhoff, Anderson Luis
author_facet Ruhoff, Anderson Luis
Adamatti, Daniela Santini
author_role author
author2 Adamatti, Daniela Santini
author2_role author
dc.contributor.event.pt_BR.fl_str_mv European Geosciences Union. General Assembly. (19 : 2017 : Viena, Austria)
dc.contributor.author.fl_str_mv Ruhoff, Anderson Luis
Adamatti, Daniela Santini
dc.subject.por.fl_str_mv Sensoriamento remoto
Dados meteorologicos
topic Sensoriamento remoto
Dados meteorologicos
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2021-06-15T04:28:44Z
dc.type.driver.fl_str_mv Estrangeiro
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/222151
dc.identifier.issn.pt_BR.fl_str_mv 1607-7962
dc.identifier.nrb.pt_BR.fl_str_mv 001027153
identifier_str_mv 1607-7962
001027153
url http://hdl.handle.net/10183/222151
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv European Geosciences Union. General Assembly (19. : 2017 : Viena, Austria). Geophysical Research Abstracts. Göttingen : Copernicus GmbH, 2017.
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