@InProceedings{FleischmannMaKiRiRuPa:2017:AvSe20,
author = "Fleischmann, Ayan Santos and Mattiuzi, Camila and Kich, Elisa de
Mello and Ribeiro Neto, Germano Gondim and Ruhoff, Anderson Luis
and Paiva, Rodrigo Cauduro Dias",
title = "Avalia{\c{c}}{\~a}o da seca de 2016 do Rio Java{\'e}s (bacia do
Rio Araguaia) com uso de dados de m{\'u}ltiplos sat{\'e}lites",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5033--5040",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "In 2016, a severe drought affected the Java{\'e}s river basin in
central Brazil, leading to very low water levels and negative
impacts on navigability, maintenance of ecosystems and agriculture
irrigation. In this work, we present an integrated evaluation of
the drought in the basin with remote sensing techniques, involving
estimative of extension of sand beds (classification of LANDSAT-8
imagery), terrestrial water storage (GRACE), precipitation (TRMM
anomalies) and evapotranspiration (SEBAL algorithm with LANDSAT-8
imagery). Results of GRACE and TRMM indicate a severe hydrological
drought in the region, with the driest period occurring in 2016 in
relation to previous years. Also, extension of sand beds was
highest in Java{\'e}s river in this year, showing difficult
navigability and very low water levels, and sand beds were visible
earlier in the year than in the previous ones. Finally, SEBAL
estimative indicate that agriculture areas are ing water at same
rate as other years, what can increase drought impacts. Although
our results are not conclusive in terms of the relative role of
agriculture water abstraction and precipitation deficits in the
Java{\'e}s drought due to a short time series that was analyzed,
our study present important tools for the evaluation of such
severe disasters.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59319",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM46R",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM46R",
targetfile = "59319.pdf",
type = "Hidrologia",
urlaccessdate = "27 abr. 2024"
}