Janisson Batista de Jesus2 * , Bruno Barros de Souza3
2Universidade
Federal de Sergipe, Programa de Pós-Graduação em Agricultura e
Biodiversidade, São Cristóvão, SE - Brasil. E-mail:
<janisson-batista-de-jesus@hotmail.com>.
3Administração
Estadual do Meio Ambiente, Assessoria de Planejamento, Aracaju, SE -
Brasil. E-mail: <brunobarros.eco@gmail.com>.
Permanent Preservation Areas (PPAs) along watercourses have been the
focus of numerous studies, not only because of the fragility and
ecological relevance of riverine vegetation, but also because of the
inefficiency demonstrated in conforming to the legislation protecting
it. One of the major difficulties encountered in terms of guaranteeing
the effective conservation of these riverside areas is the absence of
methodologies that can be used to define them rapidly and accurately
without manually determining the widths of the rivers or assigning only
uniform linear values for the entire watercourse. The present work
sought to develop a spatial analysis methodology capable of
automatically defining permanent preservation areas along watercourses
using geographic information system (GIS) software. The present study
was undertaken in the Sergipe River basin, "considering the river itself
and its principal affluents. We used the database of the Digital Atlas
of Hydrological Resources (SEMARH/SE), and the delimitations of the PPAs
were performed using ArcGIS 10.1 and the XToolPro 9.0 extension. A
total of 5,003.82 hectares of Permanent Preservation Areas were
delimited along the margins of the rivers analyzed, with a margin of
error of <1% in delimiting the widths of the rivers within the entire
area considered. The methodology described here can be used to define
PPAs efficiently, relatively rapidly, and with very small margins of
error, thus representing a technological advance in terms of using GIS
for land management.
Key words: PPA; Mapping; Geographic Information Systems
http://www.scielo.br/scielo.php?pid=S0100-67622016000200229&script=sci_arttext&tlng=en
Key words: PPA; Mapping; Geographic Information Systems
http://www.scielo.br/scielo.php?pid=S0100-67622016000200229&script=sci_arttext&tlng=en
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