%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.19.27
%2 sid.inpe.br/marte2/2017/10.23.19.27.04
%@isbn 978-85-17-00088-1
%F 59521
%T Relação entre níveis de agua de Altimetria Espacial e área inundada a partir de imagens SAR, em várzeas do rio Purus
%D 2017
%A Brêda, João Paulo Lyra Fialho,
%A Correa, Sly Wongchuig,
%A Paiva, Rodrigo Cauduro Dias,
%@electronicmailaddress joaopaulolfb@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 949-956
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X In situ data in large basins as the Amazon are usually difficult to acquire, mainly due to their extension and inaccessibility as well. To that end, remote sensing technologies that provide hydrology information have advanced in the last decades. Regarding altimetry, satellites as the ENVISAT has brought a broad database in water surface elevation of large surface water bodies. However, ENVISAT has a 35 day cycle and a relatively sparse ground-track, which limit the range of observations. In addition, the SAR technology is pointed as an interesting option for floodplain detection, which are important not only for the ecosystem but also for the hydrodynamics process of a large river basin as the Amazon. Considering that the floodplain area and the river surface water level are related, it is reasonable to assume that both kind of information could be combined to enlarge hydrologic database. Thus this study tested a level series obtained from floodplains classification of the ALOS PALSAR ScanSAR sensor images at the Purus Basin. The results indicate that the water level estimated from an exponential regression of the floodplain area percentage resulted in a high correlation (0,967) with the in situ level station. Although the ENVISAT levels absolute mean error is 5,5 times lower than the levels fitted by floodplain area percentage, this paper has shown that the combination of both series improved surface water level estimation.
%9 Hidrologia
%@language pt
%3 59521.pdf