@Article{CanavesiAlva:2012:ChVeCo,
author = "Canavesi, Vanessa and Alvala, Regina C. S.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and CEMADEN",
title = "Changes in Vegetation Cover in Reforested Areas in the State of
S{\~a}o Paulo, Brazil and the Implication for Landslide
Processes",
journal = "ISPRS International Journal of Geo-Information",
year = "2012",
volume = "1",
number = "2",
pages = "209--227",
keywords = "remote sensing, GIS, susceptibility, Eucalyptus, fuzzy.",
abstract = "In Brazil, plantations of exotic species such as Eucalyptus have
expanded substantially in recent years, due in large part to the
great demand for cellulose and wood. The combination of the steep
slopes in some of these regions, such as the municipalities
located close to the Serra do Mar and Serra da Mantiqueira, and
the soil exposure that occurs in some stages in the Eucalyptus
cultivation cycle, can cause landslides. The use of a geographic
information system (GIS) assists with the identification of areas
that are susceptible to landslides, and one of the GIS tools used
is the spatial inference technique. In this work, the landslide
susceptibility of areas occupied by Eucalyptus plantations in
different stages of development in municipalities in the state of
S{\~a}o Paulo was examined. Eight thematic maps were used, and,
the fuzzy gamma technique was used for data integration and the
generation of susceptibility maps, in which scenarios were created
with different gamma values for the dry and rainy seasons. The
results for areas planted with Eucalyptus were compared with those
obtained for other land uses and covers. In the moderate and high
susceptibility classes, the pasture is the land use type that
presented the greatest susceptibility, followed by new Eucalyptus
plantations and urban areas.",
doi = "10.3390/ijgi1020209",
url = "http://dx.doi.org/10.3390/ijgi1020209",
issn = "2220-9964",
label = "lattes: 5138927797059158 1 CanavesiAlva:2012:ChVeCo",
language = "en",
targetfile = "Vanessa Canavesi and Regina C{\'e}lia dos Santos
Alval{\'a}.pdf",
url = "http://www.mdpi.com/2220-9964/1/2/209",
urlaccessdate = "30 abr. 2024"
}