Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images

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Autor principal: C. A. COSTA DOS SANTOS
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional Autónoma de México 2011
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author C. A. COSTA DOS SANTOS
author_facet C. A. COSTA DOS SANTOS
contents Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images C. A. COSTA DOS SANTOS R. L. DO NASCIMENTO T. V. R. RAO A. O. MANZI Biología Humid climate evapotranspiration spatial variability Amazonian rainforest The main objective of this study is to obtain the spatial distribution of net radiation (RN) in two contrasting vegetation covers (forest and pasture) through the SEBAL algorithm, and to analyze its performance when applied to tropical humid atmospheric conditions. This study was conducted in the state of Rondônia in northwestern Brazil, using four Landsat TM images, as well as, digital elevation model data. The correlation coefficients between estimated (SEBAL) and measured values of RN, and surface albedo are of 0.97 and 0.88, respectively. These results present SEBAL as an important tool to be used in hydrological and environmental studies, and to obtain coherent temporal and spatial variations of surface characteristics, helping in the improvement and validation of model parameterizations. However, the applications of remote sensing techniques in tropical humid climates are difficult, because of the existence of a constant presence of convective clouds. 2011 artículo científico 0187-6236 https://www.redalyc.org/articulo.oa?id=56521269006 en http://www.redalyc.org/revista.oa?id=565 Atmósfera application/pdf Universidad Nacional Autónoma de México Atmósfera (México) Num.4 Vol.24
format Artículo científico
id redalyc_56521269006
institution Redalyc
language en
publishDate 2011
publisher Universidad Nacional Autónoma de México
spellingShingle Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images
C. A. COSTA DOS SANTOS
Biología
Humid climate
evapotranspiration
spatial variability
Amazonian rainforest
Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images C. A. COSTA DOS SANTOS R. L. DO NASCIMENTO T. V. R. RAO A. O. MANZI Biología Humid climate evapotranspiration spatial variability Amazonian rainforest The main objective of this study is to obtain the spatial distribution of net radiation (RN) in two contrasting vegetation covers (forest and pasture) through the SEBAL algorithm, and to analyze its performance when applied to tropical humid atmospheric conditions. This study was conducted in the state of Rondônia in northwestern Brazil, using four Landsat TM images, as well as, digital elevation model data. The correlation coefficients between estimated (SEBAL) and measured values of RN, and surface albedo are of 0.97 and 0.88, respectively. These results present SEBAL as an important tool to be used in hydrological and environmental studies, and to obtain coherent temporal and spatial variations of surface characteristics, helping in the improvement and validation of model parameterizations. However, the applications of remote sensing techniques in tropical humid climates are difficult, because of the existence of a constant presence of convective clouds. 2011 artículo científico 0187-6236 https://www.redalyc.org/articulo.oa?id=56521269006 en http://www.redalyc.org/revista.oa?id=565 Atmósfera application/pdf Universidad Nacional Autónoma de México Atmósfera (México) Num.4 Vol.24
title Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images
topic Biología
Humid climate
evapotranspiration
spatial variability
Amazonian rainforest
url https://www.redalyc.org/articulo.oa?id=56521269006