@InProceedings{FleischmannSFPJLSPC:2017:EsÁrIn,
author = "Fleischmann, Ayan Santos and Siqueira, Vin{\'{\i}}cius Alencar
and Fan, Fernando Mainardi and Pontes, Paulo R{\'o}genes Monteiro
and Jardim, Pedro Frediani and Lopes, Vit{\'o}ria and Sorribas,
Mino Viana and Paiva, Rodrigo Cauduro Dias and Collischonn,
Walter",
title = "Estimativa de {\'a}reas inundadas em grandes bacias com o modelo
MGB-IPH e pacote de geoprocessamento IPH-HydroTools",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4969--4976",
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 = "Large floodable areas provide important environmental services
worldwide, including regulation of climate and floods. Thus,
comprehension of their temporal and spatial variation is important
to foster understanding of possible anthropic and natural
alterations. Given their large scale extent and remoteness,
techniques such as remote sensing and hydrological modelling arise
as important tools for such studies. In this work, we present four
study cases of application of MGB-IPH model together with
IPH-Hydro Tools geoprocessing package in large basins with
important flooded areas: Bananal Island (Araguaia river), Purus
river and Patos Lagoon in South America and Niger Inland Delta in
Africa. The MGB-IPH hydrological model was coupled to the local
inertial flow routing method, an simplification of the full 1D
hydrodynamic equations that allows the simulation of backwater
effects and floodplain attenuation in rivers. For validation,
remote sensing estimates of flooded areas were obtained from
multi-satellite products, including optical (MODIS and LANDSAT)
and radar (JERS-1) images. The model was able to represent
large-scale variation of water level and flooding extent, where
results analyses indicate a good representation of hydrodynamic
and hydrological processes within these areas. Such studies are
important for highlighting the importance of coupling remote
sensing and modeling estimates to increase our predictability and
comprehension of such areas.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59317",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM43K",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM43K",
targetfile = "59317.pdf",
type = "{\'A}reas {\'u}midas",
urlaccessdate = "27 abr. 2024"
}