1. 贵州省自然资源卫星应用中心
2. 航天宏图信息技术股份有限公司
3. 武汉大学测绘遥感信息工程国家重点实验室
4. 武汉大学遥感信息工程学院
纸质出版:2023
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刘东烈, 陆超然, 郭金城, et al. 时序InSAR滑坡探测与DEM误差影响分析[J]. 2023, 21(11): 39-45.
以贵州省西南山区为例,针对地质灾害隐患早期识别的实际情况和需求,开展差分干涉测量和时序InSAR方法的对比实验,以验证时序InSAR在抗误差干扰、探测微小形变、捕捉形变序列演化趋势等方面的能力;再基于高精度LiDAR DEM数据进一步研究DEM误差对时序InSAR处理结果的影响。实验表明,时序InSAR方法无法完全剔除DEM误差,从而导致形变速率、形变序列估计不准,在开展精细化InSAR形变分析时应尽可能选取高精度的外部DEM数据,以保证正确估计地质灾害隐患形变特征。
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