%0 Dataset
%T Data set of susceptibility distribution of rock sliding slopes on both sides of China Pakistan highway in Gaizi River Valley (2017)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/9cf11d7a-3b96-4ca7-a96a-57a5c03d6c86
%W NCDC
%R 10.12072/casnw.062.2019.db
%A Han liqin
%A Ai Minghao
%A Tian deyu
%K Rolling Stone Slope;China-Pakistan Highway;Gezi River Valley;Gezi River Valley;Machine Learning
%X this dataset contains the GPS point vector data and the raster slope spatial distribution data of the 2 km of the Sino Pakistani highway based on the investigation point simulation. The data of the survey point vector record the GPS longitude and latitude information of the survey site, which is a valuable ground truth data. The research significance and engineering application value. The data of liushipo survey point is in vector SHP format, and longitude and latitude information are recorded in attribute table. The results show that the best format is TIF. ArcGIS, QGIS, envi, ERDAS and other commonly used GIS and remote sensing software can support the data reading and operation.