@InProceedings{SantosFerr:2017:EsCaRe,
author = "Santos, Joildes Brasil dos and Ferreira, Manuel Eduardo",
title = "Indicadores Ambientais Aplicados ao Planejamento e Gest{\~a}o dos
Recursos H{\'{\i}}dricos: um estudo de caso para a Regi{\~a}o
Metropolitana de Goi{\^a}nia, Goi{\'a}s",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "894--901",
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 the last decade of the twenty-first century there is an effort
in the sphere of society in general regarding environmental
issues. In this scenario, the use of environmental indicators as
tools to support the decision for natural resources, especially
for water resources, is highlighted, given the interface that this
theme has with the other components of the landscape. In this
sense, this article aims to discuss the use of the Geographic
System Information - GIS and Remote Sensing products in the
formulation of environmental indicators, and how they can
contribute to the management and planning of water resources. This
analysis will be carried out through two Environmental Indicators
- AI: AI 1 (Conflict of Use in APPs) and AI 2 (Areas with High
Vulnerability). As a research area, the Metropolitan Region of
Goi{\^a}nia - RMG was selected, due to characteristics such as
rapid population growth associated to future scenarios of water
scarcity. The relevance of pasture use in APPs and in areas with
fragile soils was observed in both indicators, which may directly
affect the environmental quality of these two environments, and
consequently, further impact the water reserves that supply this
region.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59226",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4FQ5",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4FQ5",
targetfile = "59226.pdf",
type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
urlaccessdate = "09 maio 2024"
}