Using Remote-Sensing Techniques and GIS to Study the Morphometric Characteristics and (NDVI) of the Watersheds of Tebessa, Algeria

Authors

DOI:

https://doi.org/10.35516/hum.v51i1.1161

Keywords:

Algeria, Digital Elevation Model (DEM), Ghazala watershed, Morphometric characteristics, Normalized Difference Vegetation Index (NDVI), Saqi watershed, Satellite (LANDSAT)

Abstract

Objectives: This study effectively uses the Geographic Information System (GIS) and remote-sensing techniques in studying the morphometric characteristics and the Normalized Difference Vegetation Index (NDVI) of the watersheds in Tebessa, Algeria. The study intends to highlight these characteristics’ role in increasing the surface runoff as well as urban vulnerability in residential areas.

Methods: This study has an analytical approach (both technical and inductive) which is mainly based on the analysis of a Digital Elevation Model (DEM) and satellite imagery (LANDSAT) of the Saqi and Ghazala watersheds.

Results: Various maps and morphometric values were obtained, including drainage density which reached 3.25 km/km2 in the Ghazala watershed and 3.14 km/km2 in the Saqi watershed, in addition to a strong flow velocity of rainwater, which reached up to 4.34 km/h in the Saqi watershed in an area not exceeding 20.85 km2 and 2.61 km/h in Ghazala watershed in an area not exceeding 25.76 km2. Maps and values for the Normalized Difference Vegetation Index (NDVI) were also obtained. It  shows that due to natural and human factors, the vegetation cover in the watersheds has gradually shirked over the different periods the study tackles.

Conclusions: It became clear that the morphometric characteristics as well as the Normalized Difference Vegetation Index that characterize the watersheds increase the surface runoff of rainwater and the city’s vulnerability in facing natural hazards. Therefore, it  conducts further research which provides a geographical database that could be needed for taking the necessary measures to protect the city from natural hazards.

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Published

2024-01-30

How to Cite

Kheireddine, D. ., & Azzedine , G. . (2024). Using Remote-Sensing Techniques and GIS to Study the Morphometric Characteristics and (NDVI) of the Watersheds of Tebessa, Algeria. Dirasat: Human and Social Sciences, 51(1), 284–294. https://doi.org/10.35516/hum.v51i1.1161

Issue

Section

Geography
Received 2022-05-03
Accepted 2023-02-16
Published 2024-01-30