Assessment of evapotranspiration estimates based on surface and satellite data and its relationship with El Niño-Southern Oscillation in the Rio de Janeiro State.
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| Title: | Assessment of evapotranspiration estimates based on surface and satellite data and its relationship with El Niño-Southern Oscillation in the Rio de Janeiro State. |
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| Authors: | Tito TM; Department of Environmental Sciences, Forest Institute, Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, 23890-000, Brazil., Delgado RC; Department of Environmental Sciences, Forest Institute, Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, 23890-000, Brazil. rafaelcolldelgado32@gmail.com., de Carvalho DC; Department of Environmental Sciences, Forest Institute, Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, 23890-000, Brazil., Teodoro PE; Department of Crop Science, Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, Mato Grosso do Sul, 79560000, Brazil., de Almeida CT; Division of Remote Sensing (DSR), National Institute of Space Research (INPE), São José dos Campos, Brazil., da Silva Junior CA; State University of Mato Grosso (UNEMAT), Cáceres, Mato Grosso, 78200000, Brazil., Dos Santos EB; Department of Environmental Sciences, Forest Institute, Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, 23890-000, Brazil., da Silva Júnior LAS; Department of Environmental Sciences, Forest Institute, Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, 23890-000, Brazil. |
| Source: | Environmental monitoring and assessment [Environ Monit Assess] 2020 Jun 23; Vol. 192 (7), pp. 449. Date of Electronic Publication: 2020 Jun 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-2959 |
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| DOI: | 10.1007/s10661-020-08421-z |
