1141 | 85 | forest regeneration assessment by integrated index and remote sensing in semi arid land in the north west of algeria | ZEGRAR Ahmed ; Bentkhici Nadjla ; Ghabi Mohamed
An important fire was occurring in July 2003 in the north west of Algeria, the fire was important and continued. This document presents a new method and combined data of study case, to see the fire severity and monitor vegetation recovery by using new satellite data (2009, 2014 and 2015) and new indices, based on analysis of topographic parameters using Aster DEM (30 m). _x000D_
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The ecological analysis of desertification requires knowledge of post fire regeneration in the mid-step, influenced by topographic conditions and climate parameters. The North West regions of Algeria are affected each summer by violent forest fires which last over several days and affects woodlands, natural forests and reforestation. Forest regeneration in this semi-arid land is conditioned by several factors, climatic, topographic, and linked to the timber species. 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 (2005, 2007, 2009, 2014 and 2015) 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 2003 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 with a spatial resolution of 32 and 30 m), to quantify derived index such as the normalized difference vegetation index (NDVI) & Ratio vegetation index
ZEGRAR Ahmed ; Bentkhici Nadjla ; Ghabi Mohamed
CTS, Centre of Spaces Techniques
ID Abstract: 85