%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.47.44
%2 sid.inpe.br/marte2/2017/10.27.15.47.45
%@isbn 978-85-17-00088-1
%F 59351
%T Adaptação dos Índices de queimada (V, W) utilizando informações do SWIR no sensor TM/Landsat
%D 2017
%A Teixeira, Fabrício Rodrigues,
%A Santos, Renata Libonati dos,
%A Peres, Leonardo de Faria,
%@electronicmailaddress frteixeira75@gmail.com
%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 6437-6444
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X An effort has been made by the scientific community to develop thematic products of burnt areas. In such context, LANDSAT series is able to provide continuous, long term data sets, which may contribute in a unique way to build a long time series of burnt area estimates. In this work we intend to adapt the (V,W) burned index to the TM/Landsat5 characteristics in order to derive burnt area maps over Brazilian Cerrado. The (V,W) burned index was firstly designed for MODIS sensor characteristics of channels 2 (near infrared, 0.8 μm) and 20 (middle-infrared daytime, 3.9 μm). The authors, however, have emphasized that although tested with the MODIS sensor, the proposed transformation may be straightforwardly adapted to other sensors and to other combination of bands, such as the Landsat, working in the shortwave-infrared and near infrared bands. The short - wave infrared (SWIR2, 2.1 μm) domain, such as the middle infrared (MIR), has adequate characteristics for the monitoring of the earth ''s surface after fire episodes, taking into account that the spectral response to fire scars in the SWIR domain is similar to that observed in the MIR region. In addition, SWIR2 region is largely unaffected by the presence of aerosols. The adaptation approach takes uses of reflectance data from spectral libraries and TM/Landsat imageries. Results shows that the NIR/SWIR2 adapted (V, W) burn-sensitive vegetation index is appropriate for burned area discrimination in TM Landsat, opening interesting perspectives to the generation of long-term databases of burned areas using OLI/Landsat sensor.
%9 Monitoramento e modelagem ambiental
%@language pt
%3 59351.pdf