World-wide InSAR sensitivity index data set for landslide deformation tracking

The application of InSAR deformation measurements is feasible in a geometry sensitive to deformation. Our sensitivity index is a static analysis of the lower bound of the sensitivity of Sentinel-1 to the downslope deformation of a potential landslide. <br> The full process is explained in the linked paper (_{https://doi.org/10.1016/j.jag.2022.102829}). Provided here is a global data set of the sensitivity index derived from the Copernicus digital elevation model (COP-DEM_GLO-30, 2019_1). <br> Individual sheets of 1°×1° are identified by their lower left corner in WGS84. Sheets are combined in archives of 10°×10°, numbered by the truncated sheet indices (e.g. S49_00_W053.tiff is in S40_W050.zip). A sheet index is provided in _{S_v1.gpkg} and as an interactive map. No data is provided over Armenia and Azerbaijan, as these areas were not included in the public Copernicus data. The underlying Python script (_{20210208_CopernicusSpherical.py}) is provided with the data.

合成孔径雷达干涉测量（Interferometric Synthetic Aperture Radar，简称InSAR）形变测量在形变敏感的几何场景中具备应用可行性。本研究的敏感度指数，是针对哨兵-1（Sentinel-1）对潜在滑坡坡面形变的敏感度下限开展的静态分析。
完整研究流程详见关联论文（_{https://doi.org/10.1016/j.jag.2022.102829}）。
本次公开的敏感度指数全球数据集，基于哥白尼（Copernicus）数字高程模型（COP-DEM_GLO-30, 2019_1）生成。
数据集以1°×1°的图幅为基本单元，各图幅通过其世界大地测量系统1984（WGS84）坐标系下的左下角坐标进行标识。所有1°×1°图幅被整合为10°×10°的压缩档案包，档案包名称由截断后的图幅索引编号命名（例如S49_00_W053.tiff位于S40_W050.zip中）。
图幅索引可通过_{S_v1.gpkg}获取，同时提供交互式地图形式的索引。
由于亚美尼亚和阿塞拜疆未被纳入公开的哥白尼计划数据范围，因此该数据集未包含这两个区域的数据。
本次数据集附带生成所用的Python脚本（_{20210208_CopernicusSpherical.py}）。