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Environmental vulnerability evolution in the Brazilian Amazon.

Nilton C Fiedler¹, Ricardo M M DE Jesus¹, Felipe Z Moreira¹

¹Universidade Federal do Espírito Santo/UFES, Departamento de Ciências Florestais e da Madeira, Avenida Governador Lindemberg, 316, 29550-000 Jerônimo Monteiro, ES, Brazil.

Anais Da Academia Brasileira De Ciencias

|July 12, 2023

Summary

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This summary is machine-generated.

Environmental vulnerability in the Amazon biome increased significantly between 2001 and 2013, with a rise in "very high" risk areas. This study used remote sensing and artificial intelligence to map these changes, highlighting the urgent need for mitigation measures.

Area of Science:

Environmental science
Geoinformatics
Artificial intelligence

Background:

Environmental policies rely on understanding vulnerability to human impact.
Geotechnology and artificial intelligence offer tools to assess environmental risk.
The Amazon biome faces significant threats from human activities.

Purpose of the Study:

To identify and map areas of highest vulnerability to human activities in the Amazon biome.
To analyze the evolution of environmental vulnerability between 2001 and 2013.
To provide data for informed decision-making and policy development.

Main Methods:

Utilized Moderate Resolution Imaging Spectroradiometer (MODIS) Land Use and Land Cover (LULC) images from 2001 and 2013.
Applied remote sensing techniques, Euclidean distance, Fuzzy logic, and the Analytic Hierarchy Process (AHP) method.

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Analyzed net variations in vulnerability classes to track changes over time.

Main Results:

Observed a significant increase in areas classified as "very high" vulnerability.
Identified a transition from "high" to "very high" risk areas, indicating escalating environmental degradation.
Mato Grosso and Pará showed the largest extents of "very high" vulnerability, with 101,100.10 km2 and 81,010.30 km2, respectively.

Conclusions:

Remote sensing and AI techniques effectively determine and assess the evolution of environmental vulnerability.
Urgent implementation of mitigation measures is crucial for the Amazon biome's conservation.
The developed methodology is adaptable for assessing environmental vulnerability globally.