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.