ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Nov 2024)

Evaluating rainfall erosivity index from CHIRPS and INMET data in southeast region of Goiás (Brazil)

  • I. de Souza Silva,
  • G. C. D. Silva,
  • D. T. F. Nascimento

DOI
https://doi.org/10.5194/isprs-annals-X-3-2024-93-2024
Journal volume & issue
Vol. X-3-2024
pp. 93 – 99

Abstract

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Soil erosion is a form of land degradation commonly observed in different regions of the world, especially in tropical regions. In Brazil, soil erosion caused by rainwater (pluvial erosion) is the most common and worrying form of erosion, causing various environmental, economic and social damage. The main aim of this work was to evaluate the Erosivity Index (EI) relationships based on CHIRPS and INMET data in the municipality of Catalão-GO, that is located in one of the world's largest agricultural frontiers, the Brazilian Cerrado. The results found indicated that the CHIRPS data it is an alternative for calculating EI in the context of municipality of Catalão, southeast region of Goiás state, from a previous stage for statistical validation.