%0 Dataset
%T Hydrological Factor Dataset of Gansu Province
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/14d7745f-095c-4d47-8b7f-4d1f8481f92c
%W NCDC
%R 10.12072/ncdc.gseer.db4096.2023
%A Zhang Yaonan
%K River network;flow direction;sink;flow length;flow rate
%X The data source used is DEM, sourced from geographic spatial data cloud（ http://www.gscloud.cn/search ）Download and concatenate multiple DEMs, crop the DEMs using the vector boundaries of Gansu Province, and finally obtain the DEM data of Gansu Province. Hydrological analysis can determine the direction of rivers, extract river networks, classify river networks, and extract watersheds. The dataset includes 5 folders (. tif):  1_No Depression DEM: Flow direction before filling depression. tif, depression convergence. tif, depression contribution area. tif, lowest elevation of depression contribution area. tif, highest elevation of depression contribution area exit. tif, depression depth. tif, depression filling. tif (i.e. no depression DEM).   Flow direction: flow direction. tif, flow direction. tif.   3_ Water flow length: flowdown.tif, flowup.tif.   4_ River Network: River Network Threshold 30000.tif, River Network Vector. shp, River Connection Streamlink.tif, River Connection Streamlink Vector, STRALLER River Network Grading. tif, STRALLER River Network Grading Vector. shp, SHREVE River Network Grading. tif, SHREVE River Network Grading. shp.