Avaliação da complexidade da paisagem do município de Dourados (MS) por meio de métricas baseadas na entropia informacional

Abstract

Theories and concepts related to the paradigm of complexity has been contributed significantly to the understanding of patterns and processes that occur in landscape. This study aims to assess complexity degree of different land uses in the city of Dourados (state of Mato Grosso do Sul - Brazil), using landscape metrics based on informational entropy (He / Hmax, SDL and LMC) applied to images of RapidEye sensor. For He/Hmax measure, urban parks, areas of native vegetation and agriculture presented a higher degree of variability. SDL measures and LMC revealed an inverse behavior: urban areas have achieved greater values of complexity.The results showed that the work achieved its goal, identifing the complexity degree of studied areas. It is concluded that the use of landscape metrics based on informational entropy can help in environmental management as, for instance, in multitemporal analysis in areas of environmental recovery and in monitoring of state and evolution of conservation in protected areas.