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2018•Unpublished venueRequires access

Remote Sensing and Landscape Metrics for Evaluation of Secondary Vegetation Patterns in the Forest Fragmentation in an Area of the Brazilian Amazon

Andrea Coelho, Lucyana Barros Santos, Márcia Nazaré Rodrigues Barros, Alessandra Rodrigues Gomes, Larisse Fernanda Pereira de Souza, Ana Luisa Albernaz, Lais Santos, Marcos Adami

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Abstract

Deforestation in the Amazon biome has caused an intense process of fragmentation of its forests. This paper aims to evaluate secondary vegetation patterns in the forest fragmentation in an area of Brazilian Amazon, using remote sensing products and landscape metrics. The calculation of the metrics was performed using the Patch Analyst tool[1], a free extension of ArcGis®, which has the ability to quantify the composition and spatial configuration of a scenario, which can be presented by a remote sensing map or image. Preliminary results have shown that secondary vegetation contributed to improve the vegetation patches mean shape index (MSI), however, it is responsible for increasing the level of fragmentation in the study area.

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What this paper is about

Deforestation in the Amazon biome has caused an intense process of fragmentation of its forests. This paper aims to evaluate secondary vegetation patterns in the forest fragmentation in an area of Brazilian Amazon, using remote sensing products and landscape metrics. The calculation of the metrics was performed using the Patch Analyst tool[1], a free extension of ArcGis®, which has the ability to quantify the composition and spatial configuration of a scenario, which can be presented by a remote sensing map or image. Preliminary results have shown that secondary vegetation contributed to improve the vegetation patches mean shape index (MSI), however, it is responsible for increasing the level of fragmentation in the study area.

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Available abstract

Deforestation in the Amazon biome has caused an intense process of fragmentation of its forests. This paper aims to evaluate secondary vegetation patterns in the forest fragmentation in an area of Brazilian Amazon, using remote sensing products and landscape metrics. The calculation of the metrics was performed using the Patch Analyst tool[1], a free extension of ArcGis®, which has the ability to quantify the composition and spatial configuration of a scenario, which can be presented by a remote sensing map or image. Preliminary results have shown that secondary vegetation contributed to improve the vegetation patches mean shape index (MSI), however, it is responsible for increasing the level of fragmentation in the study area.

Key concepts: Amazon rainforest, Biome, Fragmentation (computing), Deforestation (computer science), Remote sensing, Vegetation Index, Vegetation (pathology), Geography

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