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### Journal of Applied Remote Sensing

Estimated net radiation in an Amazon–Cerrado transition forest by Landsat 5 TM
Author(s): Heloisa Oliveira Marques; Marcelo Sacardi Biudes; Vagner Marques Pavão; Nadja Gomes Machado; Carlos Alexandre Santos Querino; Victor Hugo de Morais Danelichen
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Paper Abstract

The Amazon–Cerrado transition forest is an extensive region with unique characteristics of radiation exchanges. The measurements of the net radiation (Rn) in this ecosystem are limited to the local scale, and their spatial distribution can be carried out by remote sensing techniques, of which accuracy needs to be evaluated. Thus, the objective of this study was to analyze the accuracy of the model of surface Rn derived from measured solar radiation and estimates of normalized difference vegetation index (NDVI), surface albedo ( $α$ ), and land surface temperature (LST) estimated by images of Landsat 5 TM in an Amazon–Cerrado transition forest. The Rn, NDVI, $α$ , and LST were estimated by Landsat 5 TM images and related to micrometeorological measurements in a tower of the study area. There was seasonality of micrometeorological variables with higher values of incident solar radiation, air temperature, and vapor pressure deficit during the dry season. However, there was no seasonality of Rn. NDVI decreased and $α$ increased during the dry season, while LST was nearly constant. The Rn had negative correlation with $α$ and positive with NDVI. Both instantaneous and daily Rn estimated with Landsat 5 TM images showed high correlation and low error values when compared with Rn measured in the study area.

Paper Details

Date Published: 14 December 2017
PDF: 11 pages
J. Appl. Rem. Sens. 11(4) 046020 doi: 10.1117/1.JRS.11.046020
Published in: Journal of Applied Remote Sensing Volume 11, Issue 4
Show Author Affiliations
Heloisa Oliveira Marques, Univ. Federal de Mato Grosso (Brazil)
Marcelo Sacardi Biudes, Univ. Federal de Mato Grosso (Brazil)
Vagner Marques Pavão, Univ. Federal de Mato Grosso (Brazil)
Instituto Federal de Mato Grosso (Brazil)
Carlos Alexandre Santos Querino, Univ. Federal do Amazonas (Brazil)
Victor Hugo de Morais Danelichen, Univ. de Cuiabá (Brazil)