@InProceedings{PisaniAlveDemaRied:2017:SiCePr,
author = "Pisani, Rodrigo Jos{\'e} and Alves, Gabriel Mikael Rodrigues and
Demarchi, Julio Cesar and Riedel, Paulina Setti",
title = "Simula{\c{c}}{\~a}o de cen{\'a}rios prospectivos de escoamento
superficial associados ao uso e cobertura da terra na sub-bacia do
rio Capivara, Botucatu-SP por meio de Modelagem Espacial
Din{\^a}mica",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7286--7293",
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 = "The hydric erosion is considered as one of the most serious
problems related to hydric resources conservation.Hence the need
for prediction mechanisms made with the aid of modeling. There are
several methodologicalapproaches with the objective of modeling
the erosive potential of a given region, among which there are
thosethat analyze and evaluate several landscape variables based
on an integrated approach. The objective of thispaper was to
elaborate a spatial dynamic modeling for monitoring and predicting
silting-up processes based onthe Modified Universal Soil Loss
Equation (MUSLE) in the Capivara river watershed, city of
Botucatu-SP, usinga Cellular Automata approach, in the Dinamica
EGO plataform. The model was driven by orbital Landsat 5 TMimagery
used for mapping the land use and land cover for 1987, 1997, and
2007, topographic maps issued, thesoftware ENVI 4.7and ArcGIS 10.
Among the reached results, we shed light over land use and land
cover anderosion maps produced for 1987, 1997 and 2007 with
prospective scenarios for 2017. It was noticed anincreasing in
potential volumes of erosion overall the areas of drainage and
cuesta related to a decreasing ofbushes class in this regions.
Considering the downstream regions, it was observed a decreasing
of values relatedto erosion scenarios, overall by the replacement
of grasslands by reforesting and citrus along the analyzed
period(1987-2017). It shows clearly that land use and land cover
changes influence directly in sediment yield in thewatershed, and
can be simulated with probabilistic scenarios.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59368",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMFED",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFED",
targetfile = "59368.pdf",
type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
urlaccessdate = "27 abr. 2024"
}