%0 Dataset
%T Surface Hyperspectral Observations and Soil Salinity Dataset in Typical Arid Regions of Northwest China
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/2a73010a-3e1a-43f5-a496-279c4afcee27
%W NCDC
%R 10.12072/ncdc.minqin-salin-stn.db7063.2026
%A Jiang Xiaofang
%A Xue Xian
%K Soil salinization;Soil salinity;Hyperspectral remote sensing;Surface reflectance;Arid regions
%X This dataset focuses on soil salinization in typical arid regions of Northwest China and was developed based on field sampling and laboratory analysis. It systematically compiles soil salinity measurements and surface hyperspectral observations. The study areas include Gaotai County and Jingtai County in Gansu Province, and Golmud City in Qinghai Province, representing different natural geographical units and salinization mechanisms such as the Hexi Corridor, the Yellow River irrigation area, and the Qaidam Basin. The dataset includes spatial information (longitude, latitude, and elevation) of surface soil samples (0–10 cm), soil electrical conductivity, concentrations of eight major soluble ions (K⁺, Na⁺, Ca²⁺, Mg²⁺, Cl⁻, SO₄²⁻, CO₃²⁻, and HCO₃⁻), and field-measured hyperspectral surface reflectance data covering the wavelength range of 350–1075 nm. The data are organized at the sampling-point scale and span the period from 2020 to 2022, with standardized variable naming and consistent units. Compared with similar datasets, this dataset features strong regional representativeness, high-precision field hyperspectral measurements, and comprehensive soil salinity information, providing reliable basic data for hyperspectral remote sensing inversion of soil salinity, regional comparative analysis, and ecological and environmental studies in arid regions.