Change detection in the amazon rainforest with radiometric rotation technique RCEN multi-spectral case study: Guarayos - Bolivia

Abstract

A working group of three institutions was set up to develop this study: University of Applied Sciences Eberswalde (Germany), National Institute for Space Research (INPE, Brazil) and National Institute for Amazon Research (INPA, Brazil). The main task is to apply in the Guarayos region (Bolivia), the multi-temporal change detection algorithm "RCEN multi-spectral". The study area is located in Guarayos-Bolivia, characterized by two main high forests landscapes, "The Amazon Region" and "The Brazilian Paranaense Region"; the approach of the change detection is taken under multivariate analysis (three spectral bands), with data coming from two kinds of sensor ETM+/Landsat-7 and CCD/CBERS-2. The image detection was transformed from continuous image (floating-point) to thematic, through slicing and labeling process. Hence it is possible to discriminate five thematic classes: two related to degradation, two referring to regeneration and one of no-change. The change detection map shows: in the timeframe studied 11% of all area under study presents deforestation patterns, on the other hand the regeneration class is not significant. In conclusion the methodology has good performance and it is evolving in landscapes with high humidity complications. © 2007 IEEE.