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首页> 外文期刊>Journal of Applied Remote Sensing >Monitoring deformation evolution in Longtan Reservoir area by multitemporal interferometric synthetic aperture radar using time sequences of spaceborne synthetic aperture radar images
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Monitoring deformation evolution in Longtan Reservoir area by multitemporal interferometric synthetic aperture radar using time sequences of spaceborne synthetic aperture radar images

机译:利用星载合成孔径雷达图像时间序列的多时相干涉合成孔径雷达监测龙潭水库库区变形演化

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摘要

In order to discover the relationship between the earth surface deformation evolution and the water impoundment/discharge and penetration process in the Longtan Reservoir area, we process a time series of images from Envisat ASAR and ALOS PALSAR instruments using an MT-InSAR technique enhanced by corner reflectors. This allows us to successfully obtain a deformation map from this densely vegetated reservoir area with karst topography. We obtain time series of precise deformation images, which show clearly, for the first time, the complete spatio-temporal earth surface deformation evolution in the whole reservoir area during the impoundment/discharge process. The results from the two kinds of data show a similar underlying pattern: (1) The water load causes subsidence in almost all of its immediate surroundings; (2) the subsidence magnitude shows cyclic variation matching seasonal water level variation. Every year, the water level starts to increase in June and quickly reaches its peak in July to August, and the subsidence immediately follows and also reaches its peak magnitude in July to August;;then the water level decreases slowly, and the area rebounds slowly. (3) Statistical analysis of time-series deformation shows that about 60% of the deformation occurs during the rain season (June to August) can be restored, and the remaining 40% become permanent.
机译:为了发现龙滩水库库区地表变形演化与水的蓄积/排泄和渗透过程之间的关系,我们利用转角增强的MT-InSAR技术处理了Envisat ASAR和ALOS PALSAR仪器的时间序列图像反射器。这使我们能够从具有喀斯特地形的茂密植被库区成功获得变形图。我们获得了精确的变形图像的时间序列,这些序列首次清楚地显示了在蓄水/排水过程中整个库区的完整时空地表变形演化。两种数据的结果显示出相似的基本模式:(1)水负荷几乎在其所有周围环境中导致沉降; (2)沉降量显示出与季节性水位变化相匹配的周期性变化。每年,水位从6月开始上升,并在7月至8月迅速达到峰值,然后立即下沉并在7月至8月达到峰值;然后水位缓慢下降,面积缓慢回升。 (3)时间序列变形的统计分析表明,大约60%的变形发生在雨季(6月至8月)可以恢复,其余40%变为永久变形。

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