Raneem Shaddod*(1), Mona Barakat (2), Wafaa Ghandour (1)
(1). Department of Botany, Faculty of Science, Latakia University, Latakia, Syria
(2). Department of Soil and water science, Faculty of Agriculture, Latakia University, Latakia, Syria
(*Corresponding author: Raneem Shaddod, Email: ranimsh561@gmail.com )
Received: 26/1/2025 Accepted: 6/4/2025
Abstract
This research aimed to study vegetation cover changes in the Balouran Dam basin area in Latakia Governorate using NDVI (Normalised Difference Vegetation Index), using RS (Sensing Remote) and GIS (Geographic Information Systems) techniques, in addition to estimating the C-factor of the study area basin using NDVI. Satellite images taken in November from the Landsat-8 OLT satellite were used for the years (2013-2015-2020-2023) then, the Satellite images were processed using a program Arc GIS 10.8.2, and then a statistical analysis was conducted using a program Genstat to test the significant differences in NDVI values between (2013-2023) years. An inverse relationship was found between C-factor and NDVI, where the highest value of NDVI was 0.6 in 2013, where the vegetation was homogeneously distributed in the study area, while its lowest value was 0.42 in 2015, and there was an improvement in vegetation cover in 2023 compared to 2015, as the C-factor values decreased to between (0.39-0.91) in 2023.
Keywords: GIS, NDVI, C-factor, Balouran Dam, Latakia, syria.
Full paper in Arabic: PDF