@InProceedings{PiresRotu:2017:PrSiIn,
author = "Pires, Gisele Dornelles and Rotunno Filho, Otto Corr{\^e}a",
title = "Proposta de Sistema de Informa{\c{c}}{\~o}es Geogr{\'a}ficas
(SIG) em C{\'o}digo Livre para Recursos H{\'{\i}}dricos no
Brasil",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "855--862",
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 = "Water is a natural resource essential to human life and for the
social and environmental balance. It is critical to understand and
take care of its reserves and sources, ensuring their existence to
society, environment and future generations. It constitutes one of
the great challenges of the modern world to understand, plan,
organize and predict scenarios able to monitor the water and
environmental dynamic natural in line with the evolving human
disturbance of the generated landscape by human intervention in
the river basin scale, which, in turn, is subject to global,
regional and local interactions. There are many instruments, laws
and techniques used for this purpose. This paper proposes to
design and develop a geographic information system and a
geographic database by means of the support of free access
computer codes integrable to a geoprocessing tool aimed especially
to water resources and environmental monitoring. Under the
methodological point of view, all public geographic information
available for a given area are incorporated systematically, which
allow, to a lesser or greater degree, characterize the physical
elements for the planning and proper water resources management. A
case study is developed to illustrate the results obtained by the
geographical representation of data associated with a given
watershed. The results show that the structural, dynamic and
adaptive logic of the proposed system allows better to conform to
the management process and decision-making in different cases and
scenarios in addition to build geographical analysis based on
collection, storage, retrieval, processing and visualization of
different datasets.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60197",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4FN9",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FN9",
targetfile = "60197.pdf",
type = "Recursos h{\'{\i}}dricos",
urlaccessdate = "27 abr. 2024"
}