%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.13.15.59
%2 sid.inpe.br/marte2/2017/10.27.13.16
%@isbn 978-85-17-00088-1
%F 59859
%T Estimativa de parâmetros biofísicos no bioma Cerrado do Estado de Minas Gerais
%D 2017
%A Bayma-Silva, Gustavo,
%A Teixeira, Antonio Heriberto de Castro,
%A Leivas, Janice Freitas,
%@electronicmailaddress gustavo.bayma@embrapa.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 3703-3710
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X 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.
%9 Monitoramento e modelagem ambiental
%@language pt
%3 59859.pdf