Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073573
Research center of Embrapa/Collection: Embrapa Territorial - Artigo em anais de congresso (ALICE)
Date Issued: 2017
Type of Material: Artigo em anais de congresso (ALICE)
Authors: SILVA, G. B. S. da
TEIXEIRA, A. H. de C.
LEIVAS, J. F.
Additional Information: GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA; JANICE FREITAS LEIVAS, CNPM.
Title: Estimativa de parâmetros biofísicos no bioma Cerrado do Estado de Minas Gerais.
Publisher: In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017.
Pages: p. 3703-3710.
Language: en
Keywords: MODIS
SAFER.
Description: Natural habitats decrease in extension and integrity may be considered as an indicator of biodiversity decay. Land-use and land-cover changes (LULCC), original ecosystems conversion to other anthropic uses, have direct effects on biodiversity and climate. The Cerrado biome extends over approximately 2,000,000 km2 and between 2002 and 2013 nearly 126,000 km² of its natural plant cover was suppressed (-10.7%), 11.4 thousand km² year-1. The Simple Algorithm for Evapotranspiration Retrieving (SAFER) is an agrometeorological spectral model for estimating large-scale biophysical parameters using satellite images and climate data interpolated from meteorological stations. SAFER does not require the use of the thermal band. The SAFER model was used to estimate biophysical parameters in anthropic and natural land-use classes in a portion of the Brazilian state of Minas Gerais which is covered by Cerrado vegetation. Our results show "silviculture" as the anthropic land-use class with the highest biomass (146 kg ha-1 day-1) and ET (3.3 mm day-1) values. Among the natural plant-cover classes, the highest values were estimated for "forest" (85.8 kg ha-1 day-1 and 2.4 mm day-1). We recommend that future studies apply the SAFER model to medium spatial resolution images (e.g. Landsat-8, Sentinel-2) with the aim of estimating parameters in a more detailed scale.
Thesagro: Biomassa
Evapotranspiração.
Data Created: 2017-08-03
Appears in Collections:Artigo em anais de congresso (CNPM)

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