The use of remote sensing and GIS in the monitoring of the vegetation’ dynamic within Boutaleb mountains / Aymen Sahli / Sétif : Faculté des Sciences de la Nature et de la Vie (2023)

Public ISBD Titre : The use of remote sensing and GIS in the monitoring of the vegetation’ dynamic within Boutaleb mountains Type de document : document électronique Auteurs : Aymen Sahli, Auteur ; Cherif Ouchen, Auteur ; Ahmed Eddine, Directeur de thèse Editeur : Sétif : Faculté des Sciences de la Nature et de la Vie Année de publication : 2023 Importance : 43 Feuilles ISBN/ISSN/EAN : MS/1654 Langues : Anglais Catégories : Thèse et mémoire:Master:Protèction des ecosystèmes Mots-clés : Boutaleb mountains  Remote sensing  GIS  NDVI  Vegetation cover. Résumé : In the current work, we explore the use of remote sensing and GIS techniques, specifically focusing on the Normalized Difference Vegetation Index (NDVI) to monitor vegetation dynamics. By integrating satellite imagery and GIS, NDVI provides valuable insights into vegetation health and vigor. The study highlights the process of acquiring, preprocessing, and analyzing satellite images to derive NDVI values. Our method offers a robust and efficient technique to assess the vegetation changes among Boutaleb’ mountains. The superposition of the NDVI’ layers allowed us to estimate the regression of the vegetation cover between 2010 and 2020, which up to 3226 ha for the dense and sparse vegetation. the significant regression of the vegetation cover over the years obliges us to put in place a management and conservation plans for the natural heritage of the Boutaleb mountains. The use of remote sensing and GIS in the monitoring of the vegetation’ dynamic within Boutaleb mountains [document électronique] / Aymen Sahli, Auteur ; Cherif Ouchen, Auteur ; Ahmed Eddine, Directeur de thèse . - Sétif : Faculté des Sciences de la Nature et de la Vie, 2023 . - 43 Feuilles. ISSN : MS/1654 Langues : Anglais Catégories : Thèse et mémoire:Master:Protèction des ecosystèmes Mots-clés : Boutaleb mountains  Remote sensing  GIS  NDVI  Vegetation cover. Résumé : In the current work, we explore the use of remote sensing and GIS techniques, specifically focusing on the Normalized Difference Vegetation Index (NDVI) to monitor vegetation dynamics. By integrating satellite imagery and GIS, NDVI provides valuable insights into vegetation health and vigor. The study highlights the process of acquiring, preprocessing, and analyzing satellite images to derive NDVI values. Our method offers a robust and efficient technique to assess the vegetation changes among Boutaleb’ mountains. The superposition of the NDVI’ layers allowed us to estimate the regression of the vegetation cover between 2010 and 2020, which up to 3226 ha for the dense and sparse vegetation. the significant regression of the vegetation cover over the years obliges us to put in place a management and conservation plans for the natural heritage of the Boutaleb mountains.

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MS/1654	PE/CD 59	DVD et CD	Bibliothèque SNV	Englais	Disponible

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