DETECTION AND MONITORING OF GLOBAL CHANGES AND THE EVOLUTION IN THE REGION OF BOUZINA (AURES) USING REMOTE SENSING DATA
- 1Department of Natural Sciences and the Faculty of Life-El Hadj Lakhdar -University, Batna, Algérie
- 2Laboratory LRNAT -Faculté des sciences -Université El Hadj Lakhdar –Batna, Algérie
Keywords: Global Changes; Monitoring developments; Remote sensing, Aurès
Abstract. The functioning of Mediterranean ecosystems to daily or interannual scale presents an ecological and socio-economic interest. The intensive exploitation of natural resources of this ecosystem by the population has now reached a critical threshold. To this is added the effect of climate change leading to a drought that occurs mainly in the southern part. This leads to accelerated degradation of the ecosystem and requires the establishment of sustainable management rules. The objective of this study is to determine the contribution of multi-date satellite images in detecting global changes and monitoring of developments in the watershed of the Aurès Bouzina center. The approach is to use satellite images Landsat at different times (1986, 2001 and 2013) and sampling work for the confrontation with the ground truth, to conduct a thematic analysis of this environment, and view the global changes that have occurred in this area. The overall reading of the results of the tracking map changes, we notice a degradation of forest cover in ascending gradient from north to south and led to the reduction of vegetation cover drills. The area of irrigated crops registered an increase of grain. In favor of bare soils and wetlands, related to the influence of rivers, as well as the emergence of forage and vegetable crops. Bare soils dominated by a sandy texture are located primarily near areas of crops due to agricultural practices based on the intensification of agriculture as well as silting soil justified by an increase in bare soil. This work is a first step to track the degradation or restoration through ecological indicators field, related to remote sensing data.