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首页> 外文期刊>Environmental engineering and management journal >DETECTION OF LONG-TERM VEGETATION DEGRADATION IN BALUCHISTAN IN SOUTHWEST ASIA USING NDVI PRODUCTS OF THE MODIS SENSOR OF TERRA SATELLITE
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DETECTION OF LONG-TERM VEGETATION DEGRADATION IN BALUCHISTAN IN SOUTHWEST ASIA USING NDVI PRODUCTS OF THE MODIS SENSOR OF TERRA SATELLITE

机译:利用Terra卫星MODIS传感器的NDVI产品检测西南亚山区长期植被降解

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The present study aimed at investigating the long-term degradation of vegetation in Baluchistan in southwest Asia. To achieve the objective NDVI products of the MODIS sensor on Terra Satellite (MOD13A3) with spatial resolution of 1 x 1 km for a period of 16 years (2000-2015) were used. After obtaining images from the NASA land processes distributed active archive center, all images downloaded for the study area were mosaicked and referenced by Universal Transverse Mercator Project System and by using the nearest-neighbour re-sampling method. Then, on a pixel-based scale, the trend of long-term changes in vegetation was studied using the seasonal Mann-Kendall non-parametric test. The results show that 1.23% of the total area under study had a long-term decreasing trend in vegetation. Out of this 1.23%, 0.33% were significant at a probability level of alpha = 0.01, 0.24% was significant at a probability level of alpha = 0.05, and 0.12% were significant at a probability level of alpha = 0.1. The decreasing trend of 0.54% of them was not confirmed at any of the significant levels. Among the various types of vegetation, shrublands and croplands had the most significant long-term decreasing changes, which could be dangerous signs of ecotones degradation as well as weakening the sustainable rural livelihoods in this land.
机译:本研究旨在调查亚洲西南俾路支植被的长期退化。为了实现Terra卫星(MOD13A3)上的MODIS传感器的目标NDVI产品,使用了1×1 km的空间分辨率为16年(2000-2015)。从美国国家航空航天局的土地进程获取图像分布式活动存档中心后,所有下载的研究区的图像都被通用横向墨西哥版本系统镶嵌和引用,并使用最近邻的重新采样方法。然后,在基于像素的比例,使用季节性Mann-Kendall非参数测试研究了植被的长期变化的趋势。结果表明,研究总面积的1.23%在植被中长期降低趋势。除此之外1.23%,0.33%在α= 0.01的概率水平下显着,0.24%在α= 0.05的概率水平下显着,0.12%在α= 0.1的概率水平下显着显着。在任何一个重要层面都没有证实它们的0.54%的减少趋势。在各种类型的植被中,灌木丛和农作物具有最大的长期减少变化,这可能是杂散的危险迹象,并削弱了这片土地的可持续农村生计。

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