首页> 外文会议>Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International >Assessing impact of a large-sized refugee camp on the local vegetation condition with remote sensing: a case study of Kakuma, Kenya
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Assessing impact of a large-sized refugee camp on the local vegetation condition with remote sensing: a case study of Kakuma, Kenya

机译:遥感评估大型难民营对当地植被状况的影响:以肯尼亚卡库马为例

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As a case study of impact assessment of a large-scaled refugee camp, NDVI analysis around the Kakuma Refugee Camp (KRC), located in the Turkana District, Kenya, is implemented by developing maximum value composite of NOAA/AVHRR. Firstly, the all Local Area Coverage (LAC) images available via NOAA website for the second ten days of May, the period of vegetation peak, in 1989, 1993 and 1999 are analyzed, corresponding to before, just after and a certain period after construction of KRC, which was set up in 1992. Although a clear NDVI reduction is seen from 1989 to 1999, the difference in precipitation seems to contribute significantly. Thus we analyzed additional images; the second 10 days of April 1999 and May 1998. The results indicate that large part of NDVI change from 1989 to 1999 is induced by rainfall change. However, near KRC, interesting NDVI reduction, which is worthy of more study, is seen also in the additional images.
机译:作为对一个大型难民营的影响评估的案例研究,通过开发NOAA / AVHRR的最大值组合,对位于肯尼亚图尔卡纳区的Kakuma难民营(KRC)周围的NDVI进行了分析。首先,分析了NOAA网站在5月的第二个十天(1989年,1993年和1999年的植被高峰期)可获得的所有局部覆盖(LAC)图像,分别对应于施工之前,之后和之后的某个时期。成立于1992年的KRC。尽管从1989年到1999年NDVI明显下降,但降水差异似乎起了很大的作用。因此,我们分析了其他图像;在1999年4月和1998年5月的后10天。结果表明,1989年至1999年间NDVI的很大一部分变化是由降雨变化引起的。但是,在KRC附近,还可以在其他图像中看到有趣的NDVI降低,这值得进一步研究。

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