@InProceedings{SilvaDupa:2017:AnExPe,
author = "Silva, H{\'e}lio Jos{\'e} da and Dupas, Francisco Ant{\^o}nio",
title = "An{\'a}lise da expectativa da perda de solo nos anos de 1985 e
2015 na APA da Serra da Mantiqueira e na APA Fern{\~a}o Dias",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3138--3145",
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 = "This work aims, with the help of Geographic Information System
(GIS) to assess the potential variations of soil loss by water
sheet erosion over the years 1985 and 2015 the Environmental
Protection Areas Serra da Mantiqueira and Fern{\~a}o Dias through
Equation Universal soil Loss (USLE) proposed by Wischmeier and
Smith in 1978, taking into account the intensity of rainfall in
the region, soil erodibility, the length of the slope, the slope
and the use of measures and soil conservation. The results
obtained from multitemporal application of USLE will present the
evolution of the erosive process allowing diagnose, plan and
control the quality of the environment in the study area in order
to conserve there existing vegetation, thus preserving the soil
and consequently the quality and water availability of the site.
The methodology to be adopted in this work includes literature
review, necessary for the characterization of the main concepts
about the topic covered in this study, supporting the relevance of
the theme for sustainable development; and collecting information
and data required to estimate soil loss via EUPS, such as soil
conditions, topography, land use and land cover. These, through
the help of Geographic Information System (GIS) are intended to
identify which areas are most vulnerable to erosion process
allowing to establish measures that seek to minimize the erosive
effects of anthropogenic especially those who directly influence
the water quality.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59972",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLSBH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSBH",
targetfile = "59972.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "08 maio 2024"
}