Detection of change in Land Cover through the Implementation of the Change Vector Analysis Algorithm (CVA), in Parque Estadual do cocó – Fortaleza/Ce

Abstract

The environmental occurrences in the Integral Protection Conservation Unit (UC) in the Cocó State Park represent a constant problem that lead to environmental degradation. This damage was initially generated by the implementation of the activities and practices of salt mine extraction that were developed in the past and which progressively affected the functionality of the ecosystem, even with urban densification in the metropolitan area of ​​Fortaleza, thus generating constant pressure on this area. Therefore, space-time monitoring becomes essential to ensure environmental protection and management. In this sense, the use of remote sensing helps in monitoring and following the factors that affect the transformation of the park. This work aims to analyze the behavior of vegetation health under environmental conditions from 2015 to 2021 to identify patterns of cover changes, using the Change Vector Analysis (CVA) algorithm. The methodology used the Google Earth Engine (GEE) geoprocessing platform and the Python programming language as a tool to process and manipulate remote sensing data to identify 4 categories of changes: no change, flooding, regrowth and degradation within the park.