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Forest cover change detection using Normalized Difference Vegetation Index in the Oued Bouhamdane watershed, Algeria - A case study

Author

Listed:
  • Boubaker Khallef

    (Department of Earth Sciences , Institute of Architecture and Earth Sciences, University Abbas Ferhat, Sétif, Algeria)

  • Rabah Zennir

    (Planning, Urban and Environmental Analysis Laboratory, Land Planning Department, Faculty of Earth Sciences, Badji Mokhtar-Annaba University, Annaba, Algeria)

Abstract

The Algeria forest, particularly in the northeastern region, has undergone profound changes in recent years. The Oued Bouhamdane watershed has a great forest potential, which is threatened by several factors of natural and human origin, resulting in a decrease in forest cover. It requires adequate forest monitoring to support the sustainable forest management of this watershed, which is possible thanks to satellite imagery. The objective of this research is to study the spatiotemporal dynamics of the vegetation cover of the Oued Bouhamdane watershed between 2013 and 2022 using remote sensing data. This study is based on the use of Landsat 8 and 9 images for two dates in 2013 and 2022, and the calculation of the Normalized Difference Vegetation Index (NDVI) to identify changes in vegetation cover between 2013 and 2022. The calculation of NDVI and the realization of the vegetation change map showed a regression of the forest cover between 2013 and 2022 with a rate of -5.53% of the total of the study area with a general negative change of 28.62% of the study area. This regression is essentially linked to natural and anthropogenic factors. This work can be a valuable tool for sustainable management of the forest of this watershed; moreover, the method is also adaptable to other watersheds of the northeastern region of Algeria.

Suggested Citation

  • Boubaker Khallef & Rabah Zennir, 2023. "Forest cover change detection using Normalized Difference Vegetation Index in the Oued Bouhamdane watershed, Algeria - A case study," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(6), pages 254-265.
    • Handle: RePEc:caa:jnljfs:v:69:y:2023:i:6:id:192-2022-jfs
    DOI: 10.17221/192/2022-JFS
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