TY  - Data
T1  - Data of soil physical and chemical properties in Pingshuo, Shuozhou City, Shanxi Province and Yulin mining area, Yulin City, Shaanxi Province (June 2020)
A1  - Zhang Shengwei
DO  - 10.12072/ncdc.UTCMW.db2140.2022
PY  - 2022
DA  - 2022-05-30
PB  - National Cryosphere Desert Data Center
AB  - The validation data mainly includes three aspects. The first is to verify the random forest feature classification map in land use and cover change. The data obtained is to investigate the GPS fixed point in the study area in 2019 and 2020, combined with the method of selecting sample points by Google Earth, train the model and verify the accuracy of land use classification. Then verify the soil moisture inversion results with the field sampling data. Finally, verify and analyze the surface net radiation and surface temperature inverted by SEBAL model. Because the field sampling conditions can not directly obtain the measured data of energy, only the surface temperature data verification set and surface temperature verification data in local areas can be obtained. In addition, the verification data still needs to be verified in combination with the surface net radiation data of China Meteorological Network, mainly using the surface net radiation data of China daily radiation data set from 2016 to 2020. The verification data are nearly synchronized with the transit time of remote sensing data.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/c09b2660-2ba8-4bfc-8ae8-7a13d4e54714
ER  -