Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil

Year : 2024 | Volume : 15 | Issue : 03 | Page : 45 56
    By

    Mohammad Al Abed,

  • Marcos Teixeira de Melo Saboya,

  • Fábio Ferreira Dias,

  1. Research Director,, General Organization of Remote Sensing (GORS), Syria. Visiting Researcher, Geosciences Institute, Fluminense Federal University (UFF), Niterói, Rio de Janeiro,, Brazil
  2. Master Student, Geosciences Institute,Fluminense Federal University (UFF),, Niterói, Rio de Janeiro,, Brazil
  3. Associate Professor, Geosciences Institute,Fluminense Federal University (UFF),, Niterói, Rio de Janeiro,, Brazil

Abstract

The purpose of this paper is to study the growing problem of soil erosion in the municipality of Maricá, Rio de Janeiro, Brazil. The study area has an excellent agricultural condition. However, due to human and natural factors, water erosion is becoming a major problem. Therefore, new approaches are needed to determine soil degradation not only for the identification of hotspots, but also to identify areas prone to degradation to develop appropriate land management policies. Mapping of water erosion was assessed according to methodology of the United Nations Environment Program/Priority Action program using different images from Landsat8, Airbus on Google Earth Pro, and ESRI Land Cover 2023 to identify the dominant erosion process, stable areas types, and producing land degradation and conservation priority maps. Results showed that stable areas spread over 200.22 km2, while about 21.23 km2 is considered as unstable areas. Additionally, a prioritization procedure was identified to determine hot spot areas for remedial measures, results showed the unstable areas which should have priority in conservation form about 22.14 km2. Besides, a land use/land cover change detection procedure was done to investigate those changes using Landsat 1985 and 2022 images, showed a significant increase (14.49%) in urban area at the expense of decrease in wetland (–1.70%), pasture (–3.44%), and mosaic of uses (–9.70%). The results lead us to a conclusion that the increase in areas of urbanization and pasturelands were in forestlands, where large areas of the rolling hills and gentle mountain slops have been deforested. This finding suggests a set of remedial measures for soil conservation and for recovery of degraded areas to be applied to those hot spots.

Keywords: Land degradation, soil erosion, change detection, remote sensing, geographic information system (GIS), Maricá

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
Mohammad Al Abed, Marcos Teixeira de Melo Saboya, Fábio Ferreira Dias. Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil. Journal of Remote Sensing & GIS. 2024; 15(03):45-56.
How to cite this URL:
Mohammad Al Abed, Marcos Teixeira de Melo Saboya, Fábio Ferreira Dias. Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil. Journal of Remote Sensing & GIS. 2024; 15(03):45-56. Available from: https://journals.stmjournals.com/jorsg/article=2024/view=176784


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Regular Issue Subscription Original Research
Volume 15
Issue 03
Received 09/08/2024
Accepted 14/08/2024
Published 10/09/2024
369

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