@InProceedings{RoqueDrugDrugSilv:2017:ErSiHi,
author = "Roque, Antoniane Arantes de Oliveira and Drugowich, Mario Ivo and
Drugowich, Mario Ivo and Silva, Eduardo Ribeiro da",
title = "Eros{\~a}o e situa{\c{c}}{\~a}o da hidrografia por meio se
imagens de sensoriamento remoto ? aplica{\c{c}}{\~a}o
pr{\'a}tica no oeste de S{\~a}o Paulo",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1249--1256",
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 maintenance of society depends largely on the production of
food for their survival, and the soil appears as a fundamental raw
material for it to take place. The loss of soil through erosion
directly affects food production and consequently the quality of
rivers, and management of this loss, is configured as a base to
mitigate existing problems and to propose appropriate solutions.
The aim of this study was to identify characteristics and
properties of the physical environment of the area of the
Sub-basin of c{\'o}rrego Laranja Doce, right bank, in the west of
S{\~a}o Paulo - Brazil, with a view to mapping of erosion and its
impact on rivers, focused planning geared to rural areas,
supported by qualitative and quantitative criteria and to assess
the current stage of use and soil degradation. The study mapped
the presence of erosive processes in 76.6% of the study area and
35.2% of the length of water bodies in silting situation requiring
immediate recovery of 35.36% of permanent preservation areas and
still the concern that one should have, because 66.88% of the area
has a high degree of susceptibility to erosion. The survey and
analysis of the physical environment through remote sensing
images, use 50 cm of spatial resolution (true color), proved to be
of great relevance to a preliminary diagnosis of environmental
quality.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59583",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS4GD3",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GD3",
targetfile = "59583.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "27 abr. 2024"
}