@InProceedings{GurgelSilvBidôVice:2015:EsCaBa,
author = "Gurgel, Cinthya Antonia Vieira and Silva, Madson Tavares da and
Bid{\^o}, {\'E}rica Sousa and Vicente, Cl{\'a}udia Andrade",
title = "Uso de ferramentas de geoprocessamento na an{\'a}lise de risco de
eros{\~a}o do solo e relevo: estudo de caso na bacia
hidrogr{\'a}fica do subm{\'e}dio rio S{\~a}o Francisco",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5256--5263",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The Brazilian semiarid region is one of the largest and most
populous in the world. It extends over an area covering a total of
974 752 km². Northeastern watersheds, especially those located in
the semiarid portion, have been degraded over the decades due to
extensive human activity as the removal of native vegetation and
the irrational use of land for agriculture and livestock. The
erosion of these soils is related to nature itself causes such as
the amount and distribution of rainfall, slope, length and shape
of slopes, the type of vegetation and also the action of man, as
the use and management of land that in most cases, tend to
accelerate erosion. The use of a Geographic Information System
(GIS) integrated with hydrologic model assists in managing and
manipulating data, and through him we observed the erosion
potential of soils in BHSRSF, in which much of the study area has
an average risk associated with vulnerability patches of soil;
beyond a certain degree of stability associated with areas with
less than 3% that make up the field of landscape of the basin
slopes. Finally, it was observed that one should have a better
planning of land use in the near concentrations of water
reservoirs regions due to the risks of degradation found.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1036",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4DQ3",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DQ3",
targetfile = "p1036.pdf",
type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
urlaccessdate = "02 maio 2024"
}