COMPARATIVE SPACE-TEMPORAL STUDY OF THE SPECTRAL RESPONSE OF THE VEGETATION OF THE APA OF THE CURU RIVER ESTUARY AND SURROUDINGS USING MULTIESPECTRATIVE IMAGES

Authors

DOI:

https://doi.org/10.26895/geosaberes.v14i0.1318

Keywords:

NDVI, SAVI, LAI, LANDSAT, Coastal Zone

Abstract

The need to balance the preservation of coastal zones, notwithstanding the promotion of their development, is an emerging understanding. The use of Remote Sensing has been consolidated in the monitoring of conditions and changes in coastal areas. Thus, the behavior of the vegetation activity of an estuarine area and its immediate surroundings was evaluated through the multitemporal analysis of Landsat images between the years 2000 to 2020 based on three vegetation indices: NDVI, SAVI and IAF. It is concluded that the flora underwent significant changes in terms of distribution, density and health in two decades. The complementarity in the responses observed by the Indexes and the field data proved to be an efficient tool for assessing the conditions of the flora in the face of the main environmental impacts in the area, in order to be applied in local coastal planning and management.

Author Biographies

  • Jorgeana de Almeida Jorge Benevides, Federal University of Ceará (UFC), Brazil

    PhD student in the Postgraduate Program in Tropical Marine Sciences at the Federal University of Ceará.

  • Anderson da Cruz Silva, State University of Ceará (UECE), Brazil

    Master in Geography, State University of Ceará.

  • Daniel Jorge Almeida Benevides, Federal University of Ceará (UFC), Brazil

    Bachelor of Computer Engineering, Federal University of Ceará.

  • Luis Ernesto Arruda Bezerra, Federal University of Ceará (UFC), Brazil.

    Professor at the Institute of Marine Sciences (LABOMAR), Federal University of Ceará.

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Published

2023-10-10

Issue

Vol. 14 (2023)

Section

Artigos

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How to Cite

COMPARATIVE SPACE-TEMPORAL STUDY OF THE SPECTRAL RESPONSE OF THE VEGETATION OF THE APA OF THE CURU RIVER ESTUARY AND SURROUDINGS USING MULTIESPECTRATIVE IMAGES. (2023). Geosaberes, 14, 1-20. https://doi.org/10.26895/geosaberes.v14i0.1318