Use of remote sensing and GIS in mapping the environmental sensitivity areas for desertification of Egyptian territory

A. Gad, I. Lotfy
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引用次数: 35

Abstract

Desertification is defined in the first art of the convention to combat desertification as "land degradation in arid, semiarid and dry sub-humid areas resulting from climatic variations and human activities". Its consequence include a set of important processes which are active in arid and semi arid environment, where water is the main limiting factor of land use performance in such ecosystem . Desertification indicators or the groups of associated indicators should be focused on a single process. They should be based on available reliable information sources, including remotely sensed images, topographic data (maps or DEM'S), climate, soils and geological data. The current work aims to map the Environmental Sensitivity Areas (ESA's) to desertification in whole territory of Egypt at a scale of 1:1 000 000. ETM satellite images, geologic and soil maps were used as main sources for calculating the index of Environmental Sensitivity Areas (ESAI) for desertification. The algorism is adopted from MEDALLUS methodology as follows; ESAI = (SQI * CQI * VQI) 1/3 Where SQI is the soil quality index, CQI is the climate quality index and VQI is the vegetation quality index. The SQI is based on rating the parent material, slope, soil texture, and soil depth. The VQI is computed on bases of rating three categories (i.e. erosion protection, drought resistance and plant cover). The CQI is based on the aridity index, derived from values of annual rainfall and potential evapotranspiration. Arc-GIS 9 software was used for the computation and sensitivity maps production. The results show that the soil of the Nile Valley are characterized by a moderate SQI, however the those in the interference zone are low soil quality indexed. The dense vegetation of the valley has raised its VQI to be good, however coastal areas are average and interference zones are low. The maps of ESA's for desertification show that 86.1% of Egyptian territory is classified as very sensitive areas, while 4.3% as Moderately sensitive, and 9.6% as sensitive. It can be concluded that implementing the maps of sensitivity to desertification is rather useful in the arid and semi arid areas as they give more likely quantitative trend for frequency of sensitive areas. The integration of different factors contributing to desertification sensitivity may lead to plan a successful combating. The usage of space data and GIS proved to be suitable tools to rely estimation and to fulfill the needed large computational requirements. They are also useful in visualizing the sensitivity situation of different desertification parameters.
利用遥感和地理信息系统绘制埃及境内沙漠化环境敏感地区的地图
《防治荒漠化公约》第一条将荒漠化定义为“由于气候变化和人类活动造成的干旱、半干旱和半湿润干燥地区的土地退化”。其结果包括在干旱和半干旱环境中活跃的一系列重要过程,在这些生态系统中,水是土地利用绩效的主要限制因素。荒漠化指标或相关指标组应集中于单一进程。它们应基于可获得的可靠信息源,包括遥感图像、地形数据(地图或DEM)、气候、土壤和地质数据。目前的工作旨在绘制埃及全境沙漠化的环境敏感区(ESA’s)地图,比例为1:1 000 000。利用ETM卫星影像、地质图和土壤图作为计算沙漠化环境敏感区指数的主要来源。算法采用MEDALLUS方法,具体如下:ESAI = (SQI * CQI * VQI) 1/3其中SQI为土壤质量指数,CQI为气候质量指数,VQI为植被质量指数。SQI基于对母质、坡度、土壤质地和土壤深度的评级。VQI是根据三个等级(即防侵蚀、抗旱性和植物覆盖)来计算的。CQI以干旱指数为基础,由年降雨量和潜在蒸散量得出。采用Arc-GIS 9软件进行计算和敏感性图制作。结果表明,尼罗河谷土壤质量指数为中等,而干涉区土壤质量指数为低。谷地植被茂密,VQI较好,沿海地区一般,干扰带较低。ESA的沙漠化地图显示,86.1%的埃及领土被列为非常敏感地区,4.3%为中度敏感地区,9.6%为敏感地区。因此,在干旱和半干旱地区实施荒漠化敏感性图是非常有用的,因为它们更有可能提供敏感地区发生频率的定量趋势。综合考虑影响沙漠化敏感性的不同因素可能导致规划成功的防治工作。空间数据和地理信息系统的使用被证明是依赖估计和满足所需的大量计算需求的合适工具。它们还有助于可视化不同沙漠化参数的敏感性情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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