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首页> 外文期刊>Environmental Research Journal >Simulating the Movement of Desertification in Sokoto and its Environs, Nigeria Using 1 km SPOT-NDVI Data
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Simulating the Movement of Desertification in Sokoto and its Environs, Nigeria Using 1 km SPOT-NDVI Data

机译:使用1 km SPOT-NDVI数据模拟尼日利亚索科托及其周边地区的荒漠化运动

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摘要

This study simulates desertification in Sokoto and its environs using 1 km resolution Normalized Difference Vegetation Index (NDVI) data from the SPOT instrument. The data was downloaded as ten daily composites. The extracted data of the study area was clipped using the VGTExtract Software. The ten daily composites were initially recomposed to monthly and finally to 13 annual composites (time series) using Maximum Value Composite (MVC) algorithm within the Idrisi Andes GIS environment. The Multidimensional Choice (MDCHOICE) tool of Idrisi Andes was applied on the time series for temporal vegetation dynamism assessment while 1st and 2nd order surface trend fitting were carried out to assess the direction and pattern of desertification. Desertification was categorized by 1 standard deviation to the mean and temporal profiling was also carried out to probe into NDVI values of the time series at curious points. Results show that the inter-annual vegetation vigour exhibited a diminishing trend over the time series. The direction of desertification is North-West to South-East. Site 1 is located at Illela and Bamgi in Nigeria and Site 2 around Koukadin falling in Niger Republic are the worst affected by desertification within the study area. As desertification threatens human survival intensive tree planting around these areas in form of afforestation and establishment of more shelter belts and cattle ranches to curtail indiscriminate grazing, sensitisation of people towards being friendly with the environment and provision of alternative use of energy such as kerosene and gas for domestic uses at affordable prices as well as improvement in distribution and availability as immediate measures were recommended.
机译:本研究使用SPOT仪器的1 km分辨率归一化植被指数(NDVI)数据模拟了索科托及其周边地区的荒漠化。数据以十个每日合成文件的形式下载。使用VGTExtract软件裁剪研究区域的提取数据。使用Idrisi Andes GIS环境中的最大值复合(MVC)算法,将最初的10个每日复合材料重新组成为每月,最后重组为13个年度复合材料(时间序列)。将Idrisi Andes的多维选择(MDCHOICE)工具应用于时间序列,以进行时间植被动态评估,同时进行一阶和二阶表面趋势拟合以评估荒漠化的方向和方式。荒漠化按均值的1个标准差分类,还进行了时间剖析,以探究时间序列在奇异点的NDVI值。结果表明,年际植被活力在时间序列上呈递减趋势。荒漠化的方向是西北向东南。站点1位于尼日利亚的Illela和Bamgi,落在尼日尔共和国Koukadin周围的站点2受研究区域内沙漠化的影响最大。由于荒漠​​化威胁到人们的生存,在这些地区以植树造林的形式植树造林,并建立更多的防护林带和牛牧场以减少不分青红皂白的放牧,使人们对环境友好,并提供诸如煤油和天然气的替代能源建议立即采取措施,以可负担的价格用于家庭用途,以及改善分销和供应。

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