TY  - Data
T1  - ChinaCropSM1km: a fine 1km daily Soil Moisture dataset for dryland wheat and maize across China during 1993–2018
A1  - ZHUANG Huimin
A1  - Zhang Zhao
DO  - 10.5281/zenodo.7582755
PY  - 2024
DA  - 2024-03-26
PB  - National Cryosphere Desert Data Center
AB  - Soil moisture is a key variable in regional water cycle and has important applications in water resources and agricultural drought management. Most global soil moisture products are retrieved from microwave remote sensing data. However, currently at the national scale, there is limited spatial clarity, temporal continuity, and high-resolution soil moisture information. This dataset uses the Random Forest (RF) algorithm to generate a 1-kilometer soil moisture dataset (ChinaCropSM1 km) for dryland wheat and corn in China from 1993 to 2018, based on daily in-situ observations of a large amount of soil moistureThis data was independently trained using on-site observation data from the National Agricultural Meteorological Stations (AMSs) (181 327 samples) (164 202 samples), and tested using other data (17 125 samples). Firstly, develop irrigation modules based on crop types (i.e. wheat, corn), soil depth (0-10 cm, 10-20 cm), and phenological characteristics. Four daily datasets were created based on crop type and soil depth, and their accuracy was satisfactory (wheat r 0.93, ubRMSE 0.033 m3 m-3; corn r 0.93, ubRMSE 0.035 m3 m-3). The global soil moisture products, including the Surface Soil Moisture Dataset (RSSSM) based on global remote sensing and the Climate Change Initiative (CCI) SM of the European Space Agency (ESA), have significantly better spatiotemporal resolution and accuracy in ChinaCropSM1 km compared to the former (with an increase of 116% in r and a decrease of 64% in ubRMSE). This method can be applied to other regions and crops around the world, and the improved dataset has important value for research and field management such as agricultural drought monitoring and crop yield prediction.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/2aa82bcd-5cb9-4809-9bcb-6d087d8b4eb2
ER  -