Our steppe region presents an advanced factor in degradation in the socio-economic field and biodiversity. We will present an approach to the evaluation of the arid regions in the post-forest fire area; the aim is sustainable development using the new techniques of the space domain. Remote sensing and geographic information systems (GIS) offer to environmentalists and managers, an opportunity for the evaluation, the monitoring and analysis of the vegetation for mapping fires and observing post-fire regeneration. Usually NDVI is used, other derived index from radiometric data in remote sensing are widely used to monitor vegetation dynamics. The forest domain has benefited greatly from this approach. In this study, we use remote sensing data from several dates (2010, 2015, and 2020) such as ALSAT data and Land sat, combined with the topographic parameters, and seems promising in the assessment of the spatial and temporal effects of regeneration after fires. The study area is located in the region of Sebdou in the north of Algeria, burned in 2009 allowed to take into account new factors to explain the regeneration and its spatial and temporal variation. The purpose of this study, is to show the potential use of remote sensing data (ALSAT and Land sat images, to quantify derived index such as the normalized difference vegetation index (NDVI) & Ratio vegetation index (RVI), and the index of regeneration (RI); in quantitative assessments of the regeneration after fire in Algerian forest. Some software have been used, to analyze different layers of information in evaluation of the regeneration post fire

ZEGRAR Ahmed ; Bentkhici Nadjla ; Saad Assia
centre of spaces techniques

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ID Abstract: 32