@InProceedings{PettaOharMede:2005:DeStBr,
author = "Petta, Reinaldo Ant{\^o}nio and Ohara, Tomoyuki and Medeiros,
Cleyber Nascimento de",
affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN). Departamento
de Geologia.} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Federal do Rio Grande do Norte (UFRN).
Departamento de Geologia.}",
title = "Desertification studies in the brazilian northeastern areas with
GIS database",
booktitle = "Anais...",
year = "2005",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria
Garcia",
pages = "1053--1062",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "CBERS-2, CCD, Caatinga vegetation, seasonal vegetation behavior,
vegeta{\c{c}}{\~a}o da Caatinga, comportamento sazonal da
vegeta{\c{c}}{\~a}o.",
abstract = "This paper provides spatial and georeferenced information related
to the susceptibility to desertification of several areas of the
Northeast of Brazil. We aim to test the usefulness of spatial
analysis methodologies to capture spatial-temporal heterogeneity
from environmental gradients, for the assessment of
desertification process at Remote Sensing data. In this sense, the
analysis and integration of geo-environmental variables and the
creation of environmental indicators associated with the
development of the desertification process was performed, based on
the use of spatial modeling procedures applied to data from the
semi-arid portion of the Northeastern Brazil region. A set of
sixteen-year period of Landsat 5-TM and Landsat 7 ETM+ images were
explored for vegetation and soil study and local analysis of
association and variability of spectral data were performed. The
integration of the georeferenced data, related to these
indicators, allowed the identification of five different levels of
susceptibility to desertification (very high, high, moderate, low
and very low), and the geographic domain of each class. Based on
the analysis of the dynamics of the vegetation cover and on the
evaluation of field data, we can establish that the main results
refer that there is a decrease of the biomass at the region,
associated either with the dense caatinga vegetation areas, but
more important, with the scrub and degraded areas. From an
environmental perspective, the decreasing biomass level associated
with scrub and degraded areas are according to the negative
feedbacks of the desertification process. Considering the last
ten-year periods of comparisons, the spatial variances leave
almost different, which means that heterogeneity pattern, is
increasing very considerably. This fact means an explicit
expansion of spatial heterogeneity of the desertification
landscapes, during the last years. KeyWords: Desertification,
Environmental Indicators, Environmental Analysis, Susceptibility,
Geoprocessing, Geographic Information Systems (GIS), Spatial
Modeling, Semi-arid, Northeastern region, Serid{\'o}, Rio Grande
do Norte, Brazil.",
conference-location = "Goi{\^a}nia",
conference-year = "16-21 abr. 2005",
isbn = "85-17-00018-8",
language = "Ingl{\^e}s",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "ltid.inpe.br/sbsr/2004/11.20.14.29",
url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.20.14.29",
targetfile = "1053.pdf",
type = "Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es do CBERS",
urlaccessdate = "04 maio 2024"
}