首页> 外文期刊>Annals of Arid Zone >Remote Sensing for Identification and Characterization of Zibar Sand Dunes in Sandy Alluvial Plains within Thar Desert, India
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Remote Sensing for Identification and Characterization of Zibar Sand Dunes in Sandy Alluvial Plains within Thar Desert, India

机译:印度塔尔沙漠沙质冲积平原中的Zibar沙丘的遥感识别与表征

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Zibars, a kind of small dunes with coarser particles in the desert, are often difficult to identify in field. This study was carried out in the vicinity of Jodhpur to test the use of remote sensing techniques to identify the zibars and study their major characteristics. Following satellite data were used in analysis: multi-spectral data in the form of FCCs of AWiFS and LISS-IV, hyperspectral data from Hyperion, and microwave data from RADARSAT-2. CartoDEM data were used to find out the elevation differences in the study area, while a field spectro-radiometer was used to find out the reflectance properties of different land surfaces. It was found that neither all kinds of image combinations, nor all conventional digital analysis techniques provide useful results. Spectral angle mapper classification of Hyperion data were found better than a grain size index mapping and some conventional interpretation techniques. Since there is very little control of soil moisture variation in the zibar pattern, microwave data were also of little use. The study concluded that zibar pattern gets manifested on the satellite images due to grain size variation.
机译:Zibars是沙漠中沙粒较粗的小沙丘,通常很难在野外辨认。这项研究是在焦特布尔(Jodhpur)附近进行的,目的是测试使用遥感技术识别Zigbar并研究其主要特征。分析中使用了以下卫星数据:AWiFS和LISS-IV的FCC形式的多光谱数据,Hyperion的高光谱数据和RADARSAT-2的微波数据。 CartoDEM数据用于查找研究区域中的高程差异,而现场分光辐射计用于查找不同陆地表面的反射率特性。已经发现,所有类型的图像组合或所有常规数字分析技术都无法提供有用的结果。发现Hyperion数据的光谱角度映射器分类优于粒度索引映射和某些常规解释技术。由于在zibar模式中对土壤水分变化的控制很少,因此微波数据也几乎没有用。研究得出的结论是,由于晶粒尺寸的变化,zibar模式出现在卫星图像上。

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