COMBINING SENSORS IN LANDSCAPE ECOLOGY: IMAGERY-BASED AND FARM-LEVEL ANALYSIS IN THE STUDY OF HUMAN-DRIVEN FOREST FRAGMENTATION / Combinando sensores em geoecologia: sensoriamento remoto e análise sócio-econômica de propriedades rurais no estudo da fragmentação florestal antrópica

Item

Título
COMBINING SENSORS IN LANDSCAPE ECOLOGY: IMAGERY-BASED AND FARM-LEVEL ANALYSIS IN THE STUDY OF HUMAN-DRIVEN FOREST FRAGMENTATION / Combinando sensores em geoecologia: sensoriamento remoto e análise sócio-econômica de propriedades rurais no estudo da fragmentação florestal antrópica
Revista Sociedade & Natureza
UFRJ
USP
Description
Fundação Oswaldo Cruz
Autor
Diogo de Carvalho Cabral
Simone R. Freitas
Judith T. Fiszon
Assunto
Fragmentação Florestal
Mata Atlântica
levantamento sócio-econômico de campo
metodologia geoecológica
sensoriamento remoto
Abstract
Although remote sensed methods provide reliable basis for identifying the amount and spatial configuration of deforestation, they cannot solely explain its underlying causes. For that, we need to complement the imagery analysis with socio-economic data from household or farm-level studies, because these domestic units affect process such migration, land-use, and technology choice. Thus, by combining remote imagery sensor and social survey, we obtain a merged analytical framework, which has the potential to improve our understanding on the determinants of human-driven forest fragmentation. We present such a methodological framework for studying deforestation in the Brazilian Atlantic Forest. Two empirical studies – a remote sensing analysis and a farm-level survey – were put together in the context of a wider project focusing on forest fragmentation process in the northeastern Guanabara region, Rio de Janeiro, Brazil. We show that, rather than ‘patchwork quilt’ methodologies, we need theoretical-oriented frameworks that give sense to the use of different landscape ecological approaches and methods (imagery analysis, mathematical modeling and social studies) in order to document and interpret land-use changes.
Key-words: remote sensing; farm-level survey; landscape research methodology; forest fragmentation; Brazilian Atlantic Forest.
volume
19
issue
2
Date
2008
Língua
en
issn
1982-4513
título curto
COMBINING SENSORS IN LANDSCAPE ECOLOGY
Rights
Direitos autorais
Coleções
SOCIEDADE&NATUREZA