Abstract
This data set is the latest data set of landslide distribution and characteristics along the China-Pakistan Karakoram Highway, which is based on ground deformation rate monitoring, optical remote sensing interpretation, field investigation, and verification, with the comprehensive application of digital elevation model (DEM), geological map, seismic distribution, precipitation, and vegetation data. In the field investigation and verification, according to the preliminary delineation results, the position and area of deformation on the slope, the tensile scarp and deformation cracks of the potential landslide, shearing boundary and cracks, and boundaries are verified, and the necessary verification and modification are made to complete the landslide inventory. The characteristics of morphological, deformation, on the image, and material characteristics of different types of landslides are summarized. In this data set, the overall distribution range of landslides along the Karakoram Highway is 34.5°N -- 39.5°N, 72.5°E -- 76.0°E. It is mainly distributed in Hunza Valley of Pakistan, Tashkurgan Valley, and Gaizi Valley of China, and the landslide scale is small (~3 km2) along the domestic section, while large (maximum area ~11 km2) along the Pakistan section. This dataset cataloged 762 landslides in the 10-km buffer zone on both sides of the China-Pakistan Karakoram Highway, including 57 complex landslides, 126 collapse types, 167 debris flows, and 412 unstable slopes. The data set includes vector boundary files taking the 10-km buffer zone of China-Pakistan Karakoram Highway as the study area; Landslide catalog vector file, documents of attribution characteristics of each landslide, its attribute parameters (fields) include ID, type, acreage, longitude, latitude, relief, slope, aspect, lithology, precipitation, NDVI, distance to fault, distance to the epicenter, distance to drainage, distance to KKH, etc. The landslide inventorying data were obtained by indoor remote sensing monitoring and interpretation, field investigation verification and correction, and the remote sensing identification work was evaluated. It was found that 78.7% of the deformation slopes identified by InSAR and optical remote sensing monitoring were verified accurately. This dataset is the latest one of landslide inventory and characteristics along the whole route of the China-Pakistan Karakoram Highway. The data are of a good current situation and is necessary data for in-depth quantitative study of landslide disasters and risks along the China-Pakistan Karakoram Highway and even the China-Pakistan Economic Corridor in the future.
Published Version
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