数据链接：
官方服务：
资源简介：
NISAR Validated Range Doppler Pixel Offsets (Version 1)
应用场景：
相关数据集
ISSLIDE: InSAR dataset for Slow SLIding area DEtection with machine learning
Slow moving motions are mostly tackled by using the phase information of Synthetic Aperture Radar (SAR) images through Interferometric SAR (InSAR) approaches based on machine and deep learning. Nevert
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NISAR Provisional Geocoded Pixel Offsets (Version 1)
NASA-ISRO Synthetic Aperture Radar (NISAR) Provisional Level 2 Geocoded Pixel Offsets
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用于滑坡变形跟踪的全球InSAR灵敏度指数数据集
在对变形敏感的几何形状中应用InSAR变形测量是可行的。我们的灵敏度指数是对哨兵-1对潜在滑坡的下坡变形的灵敏度下限的静态分析。整个过程在链接的论文（https://doi.org/10.1016/j.jag.2022.102829）中有解释。这里提供的是由哥白尼数字高程模型（COP-DEM_GLO-30，2019_1）得出的灵敏度指数全球数据集。1°×1°的单个图幅由其左下角的WGS-84标示。
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Data for "The interplay between seismic and aseismic slip along the Chaman fault illuminated by InSAR" submitted to JGR: Solid Earth
This compressed folder contains data presented in Figures of the following paper : "The interplay between seismic and aseismic slip along the Chaman fault illuminated by InSAR" by M. Dalaison, R. Joli
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