Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064536
Research center of Embrapa/Collection: Embrapa Gado de Leite - Artigo em periódico indexado (ALICE)
Issue Date: 2016
Type of Material: Artigo em periódico indexado (ALICE)
Authors: ANDRADE, R. G.
TEIXEIRA, A. H. de C.
LEIVAS, J. F.
NOGUEIRA, S. F.
Additional Information: RICARDO GUIMARAES ANDRADE, CNPGL; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; JANICE FREITAS LEIVAS, CNPM; SANDRA FURLAN NOGUEIRA, CNPM.
Title: Analysis of evapotranspiration and biomass in pastures with degradation indicatives in the Upper Tocantins River Basin, in Brazilian Savanna.
Publisher: Revista Ceres, v. 63, n. 6, p. 754-760, 2016.
Language: en
Keywords: Degraded pastures
SAFER.
Description: The objective of this study was to apply the Simple Algorithm For Evapotranspiration Retrieving (SAFER) with MODIS images together with meteorological data to analyze evapotranspiration (ET) and biomass production (BIO) according to indicative classes of pasture degradation in Upper Tocantins River Basin. Indicative classes of degraded pastures were obtained from the NDVI time-series (2002-2012). To estimate ET and BIO in each class, MODIS images and data from meteorological stations of the year 2012 were used. The results show that compared to not-degraded pastures, ET and BIO were different in pastures with moderate to strong degradation, mainly during water stress period. Therefore, changes in energy balance partition may occur according to the degradation levels, considering that those indicatives of degradation processes were identified in 24% of the planted pasture areas. In this context, ET and BIO estimates using remote sensing techniques can be a reliable indicator of forage availability, and large-scale aspects related to the degradation of pastures. It is expected that this knowledge may contribute to initiatives of public policies aimed at controlling the loss of production potential of pasture areas in the Upper Tocantins River Basin in the state of Goiás, Brazil.
NAL Thesaurus: land use
remote sensing.
Year: 2017-02-16
Appears in Collections:Artigo em periódico indexado (CNPGL)

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