SAR Interferometry coherence analysis for snow mapping
SAR Interferometry coherence analysis for snow mapping
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DOI：
10.1109/igarss.2001.978201
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发表时间：
2001-07
期刊：
影响因子：
--
通讯作者：
Zhen Li;Huadong Guo;Xinwu Li;Changlin Wang
中科院分区：
文献类型：
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作者：
Zhen Li;Huadong Guo;Xinwu Li;Changlin Wang
对于气候学和水文学调查，积雪覆盖的面积及其空间变异性是重要的参数，特别是在高山地区。干涉合成孔径雷达技术不仅可以产生高分辨率的数字高程模型，而且可以检测到地表的变化。通过对青藏高原试验区4幅ERS-1/2重复通道SAR图像的对比分析，发现裸露土壤、裸露岩石和矮小植被的相干性明显较高，而湖雪覆盖相干性很低。另一方面，如果由于其他参数，如空间基线、旋转和时间，存在很大的去相关性，则整个目标可能表现出很低的相干性。我们将展示在青藏高原昆仑山(36/SPL deg/03‘N，91/SPL deg/00’E)利用重复通道ERS-1图像数据进行后向散射和相干测量的积雪制图的方法和结果。以TM影像的分类结果为基础，分类精度可达82%以上。结果表明，相干性测量为绘制积雪面积图提供了一种有效的方法。
For climatological and hydrological investigations, the areas covered by snow and their spatial variability are important parameters, particularly in alpine regions. A interferometric SAR technique not only can produce a high-resolution digital elevation models but also can detect the changes in the surface. By comparing four ERS-1/2 repeat pass SAR image in the Tibet Plateau test area, we find that the coherence measurements from the bare soil, bare rock and the short vegetation are significantly high, and lake and snow cover have very low coherence. On other way, the entire target may show very low coherence if there are great decorrelations due to other parameters, such as spatial baseline, rotation and temporal. We will demonstrate the method and result for snow mapping by using both backscattering and coherence measurements with repeat passes ERS-1 image data at the Kunlunshan Mountain, the Tibetan plateau (36/spl deg/03'N, 91/spl deg/00'E). An accuracy of better than 82% can be achieved if we consider the classification result from TM imagery as the ground truth. The results showed that the coherence measurements provide an effective way to map snow-covered area.