@InProceedings{CurtarelliOgasSouzStec:2015:SăPaMe,
author = "Curtarelli, Marcelo Pedroso and Ogashawara, Igor and Souza, Arley
Ferreira de and Stech, Jos{\'e} Luiz",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Application of remote sensing data to monitor drinking water
supply in large cities: the S{\~a}o Paulo Metropolitan Region
study case",
booktitle = "Posters",
year = "2015",
organization = "Aslo 2015. Aquatic Sciences Meeting",
abstract = "Along the last year the S{\~a}o Paulo Metropolitan Region (SPMR)
experienced one of the worst water supply crises in his history.
The Cantareira System (CS), the largest water supply system of
SPMR formed by 5 reservoirs, reached critical operational levels
leading to supply problems. We presented an application of
Landsat-8/OLI images to monitor the dynamics of water supply
systems. Different techniques to delineate the reservoirs
superficial area (RSA) were tested. Then, a multi-temporal
approach was applied to monitor the RSA dynamics. The results
showed that the Modified Normalized Difference Water Index (MNDWI)
was the method which presented the best results to delineate the
RSA. The multi-temporal approach showed that between May 2013 and
August 2014 the CS RSA decreased 27 km˛ (~37%). The Jaguari was
the reservoir of CS which presented the highest decrease in the
RSA (~ 58%). The RSA showed a high correlation with the water
volume in the CS (R˛ > 0.9). In a future step, the time series of
RSA and auxiliary data will be used to generate a model to predict
the CS volume dynamic.",
language = "en",
urlaccessdate = "27 abr. 2024"
}