@InProceedings{KayserPassColl:2017:UsDaAl,
author = "Kayser, Rafael Henrique Bloedow and Passaia, Ot{\'a}vio Augusto
and Collischonn, Walter",
title = "Uso de dados altim{\'e}tricos na estimativa da
varia{\c{c}}{\~a}o do volume armazenado em pequenos
reservat{\'o}rios",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6051--6058",
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 some regions of Brazil, the existence of a large number of
small reservoirs distributed in the same basin has a crucial
importance for water supply. The two regions with the highest
concentration of small reservoirs are the extreme South of Brazil,
where theres an excessively high water demand due the rice crop
irrigation, and the semi-arid Northeastern region, where water
shortages require the construction of many reservoirs. For
managing the use of these resources in the medium and long term,
its essential the availability of water level or volume data
monitoring, as well as historical series of these values. However,
the scarcity of in-situ gaging stations makes the use of remote
sensing an alternative to obtain reservoir data records. Satellite
radar/laser altimetry is a technique that can be used to estimate
water levels of open water bodies. In small reservoirs, with a
surface area around 100 hectares or smaller, the restrictions for
the use of altimetric sensors increase due the spatial resolution
of most these sensors used with hydrological applications. This
work presents an approach to determine the storage volume
variation in small reservoirs, combining satellite altimetry from
the ICESat mission data, as well as image processing techniques.
These techniques are related to the extraction of reservoir
surface area from optical sensors, more precisely from Landsat
images. The comparison with the water volume obtained from the
hydrological modeling and water balance demonstrate a good
relation with the simulate data and estimated from satellite.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59798",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMC7L",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMC7L",
targetfile = "59798.pdf",
type = "Hidrologia",
urlaccessdate = "27 abr. 2024"
}