This preprint has been published elsewhere.
DOI of the published preprint https://doi.org/10.17013/risti.59.83-97
Preprint / Version 1

Spectral characterization of land cover in Cocó State Park based on CBERS-4A images

Authors

DOI:

https://doi.org/10.62059/LatArXiv.preprints.512

Keywords:

Spectral signature, Vegetation indices, Environmental monitoring

Abstract

Urban parks are essential for biodiversity and human well-being. The Cocó Stake Park (PEC) in Fortaleza, Brazil, faces significant anthropogenic pressure, necessitating continuous monitoring. This study spectrally characterized land cover using WPM sensor imagery from the CBERS-4A satellite, based on a scene from July 24, 2024. Spectral signatures of major land cover classes were analyzed, supported by MapBiomas classification, and vegetation indices (NDVI, SAVI, and EVI) were computed to assess vegetation condition. Results demonstrated that the WPM sensor effectively discriminates land cover types, with distinct spectral signatures for mangroves, restinga, water bodies, and urban areas. Mangroves dominate the park (50.78%), followed by herbaceous restinga (27.24%) and urbanized areas (10.78%), highlighting substantial peripheral pressure. EVI outperformed NDVI in sensitivity to structural variations in high-biomass zones, avoiding saturation. CBERS-4A imagery proves to be a cost-effective and reliable tool for monitoring complex urban ecosystems, providing critical data for informed decision-making in the sustainable conservation and management of the PEC.

Author Biography

  • Mauricio Alejandro Perea Ardila, Universidad Federal do Ceará

    Doutorando em Geografia,

    Programa de Pós-Graduação em Geografia,

    Universidade Federal do Ceará

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Posted

2025-08-23

Data Availability Statement

O pré-impresso foi submetido à avaliação de uma revista.