Multi-temporal Landsat-derived NDVI for vegetation cover degradation for the period 1984-2018 in part of the Arganeraie Biosphere Reserve (Morocco)

Sarrah Ezaidi, Ali Aydda, Belkacem Kabbachi, Omar F. Althuwaynee, Abdelkrim Ezaidi, Mohamed Ait Haddou, Ijjou Idoumskine, Joe Thorpe, Hyuck Jin Park, Sang Wan Kim

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Biosphere Reserves (BRs) are especial zones established to conserve the biodiversity (ecosystem, species or genetic). Therefore, evaluating and analyzing the ecosystem degradation in these zones are crucial for protecting them. This study attempts to assess and analyze the vegetation cover degradation during the last three decades (period between 1984 and 2018) in part of the Arganeraie Biosphere Reserve (ABR) of Morocco. The study aims to describe the ecosystem degradation scenario by using multi-temporal Landsat-derived NDVI (Normalized Difference Vegetation Index), and to highlight the reasonable factors causing its degradation. Long-term and short-term NDVI changes were investigated using image difference change detection technique and IsoData classification. The obtained results confirm that about 3644.64 ha of the vegetation cover was degraded during last decade. Field investigations confirm that the anthropogenic activities caused vegetation cover degradation that last a long time (2007–2018) as confirmed by long-term analysis. Forest fire, due to charcoal production, caused degradation of about 2989.59 ha of the vegetation cover during the period 2010–2018. This study has highlighted the importance to use long-term NDVI change detection to map anthropogenic-induced vegetation cover degradation and to use short-term NDVI change detection for best chronological analysis of ecosystem degradation. In addition, the easiest proposed method offers a user-friendly tool to monitor ecosystem degradation.

Original languageEnglish
Article number100800
JournalRemote Sensing Applications: Society and Environment
Volume27
DOIs
StatePublished - Aug 2022

Keywords

  • Arganeraie Biosphere Reserve
  • Image difference technique
  • IsoData classification
  • Landsat-derived NDVI
  • Long-term change
  • Morocco
  • Short-term change

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