Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 41, Pages: 1-9
Mohamed Gana1*, Mohamed El Habib Benderradji1 , Thierry Saint-Gerand2 and Djamel Alatou1
1Laboratory of Development and Valorisation of Phyto-Genetics Resources, Department of Biology and Ecology, University of Freres Mentouri Constantine, 25000, Algeria; [email protected], [email protected], [email protected] 2IDEES-Caen Laboratory, UMR IDEES 6266 CNRS, University of Caen Basse-Normandie, Caen, France; [email protected]
*Author For Correspondence
Laboratory of Development and Valorisation of Phyto-Genetics Resources, Department of Biology and Ecology, University of Freres Mentouri Constantine, 25000, Algeria; [email protected]
Objectives: The present study aims to investigate and analyse the dynamics of land use/land change over time in the province of Constantine, Algeria, using multi-temporal Landsat imagery and ancillary data. Methods/Statistical Analysis: A supervised classification technique using Maximum Likelihood algorithm was used for land use/land cover classification, to generate thematic maps, with six major classes. The accuracy assessment was applied for each maps based on stratified random method. Furthermore, post-classification technique was achieved to provide a detailed matrix of “from-to” change between 1987 and 2015. Findings: The results showed that the landscape patterns in the province of Constantine, Algeria, have been changed. The built-up areas and agricultural lands have increased by 375%, and 13% respectively. However, significant spatial reduction in vegetation areas was observed. Both of grasslands and forestlands were decreased by 54% and 9.11%, respectively, especially in the eastern part of the province. Application/Improvements: The dramatic decline in vegetation covers in the most mountainous areas, indicating the necessity to create new policies based on protecting and enhancing the natural vegetation.
Keywords: Constantine, Land Use, Monitoring, Remote Sensing, GIS
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