中巴喀喇昆仑公路沿线滑坡识别编目及特征数据集

A dataset of catalog and characteristics of landslides along the China-Pakistan Karakoram Highway

本数据集是基于地表形变速率监测、光学遥感解译、野外实地调查验证进行滑坡识别,综合应用哨兵1号(Sentinel-1A)数据、数字高程模型(DEM)、地质图、地震分布、降水与植被等数据得到的最新中巴喀喇昆仑公路沿线滑坡分布及特征数据集。滑坡编目数据通过地表形变监测与室内遥感解译、野外逐一调查验证、内业修正及属性提取而获得。本数据集中,喀喇昆仑公路沿线滑坡总体分布范围为34.5°N-39.5°N,72.5°E-76.0°E,编目了中巴喀喇昆仑公路两侧十公里缓冲区内762处滑坡。本数据集包含4个文件:1)以中巴喀喇昆仑公路十公里缓冲区为研究区的矢量边界文件;2)滑坡多边形矢量文件;3)滑坡点矢量文件;4)统计每处滑坡属性特征的文档,其属性参数(字段)包括:编号,滑坡类型、面积、经度、纬度、高差、坡度、坡向、岩性、降水、归一化植被指数(Normalized vegetation index,NDVI)、距断层距离、距震中距离、距水系距离、距喀喇昆仑公路(Karakoram Highway,KKH)距离等。对遥感识别工作进行了评定,发现InSAR监测结合光学遥感解译识别的968处斜坡中有78.7%(762处)得到了准确验证。本数据集是目前中巴喀喇昆仑公路全线最新的滑坡编目及特征数据集,数据具有良好的现势性,是未来深入定量研究中巴喀喇昆仑公路沿线乃至中巴经济走廊滑坡灾害及风险的必要数据。

This is the latest dataset of landslide distribution and characteristics along the China-Pakistan Karakoram Highway based on ground deformation rate monitoring,optical remote sensing interpretation,field survey,and verification,with the comprehensive application of the Sentinel-1A data,digital elevation model(DEM),geological map,seismic distribution,precipitation,and vegetation data.The landslide inventorying data come from ground surface deformation monitoring and remote sensing interpretation,field survey verification and correction.In this dataset,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 divided into four subsets recording 762 landslides in the 10-km buffer zone on both sides of the China-Pakistan Karakoram Highway in a catalogue,namely 1)a vector boundary file with the 10-km buffer zone of China-Pakistan Karakoram Highway as the study area;2)landslides boundary vector file;3)landslides points vector file;4)documents of attribution characteristics of each landslide.The 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.According to the evaluation of the remote sensing-based identification work,78.7%of the deformation slopes identified by InSAR monitoring and optical remote sensing interpretation are accurate.This dataset is the latest one of landslide inventory and characteristics all along the China-Pakistan Karakoram Highway.The data are of a good current situation and can be sued as necessary data for in-depth quantitative study on landslide disasters and risks along the China-Pakistan Karakoram Highway and even the China-Pakistan Economic Corridor in the future.