12 citations as recorded by crossref.

1. Spatial Downscaling of ESA CCI Soil Moisture Data Based on Deep Learning with an Attention Mechanism D. Zhang et al. 10.3390/rs16081394
2. Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China A. Nadeem et al. 10.3390/rs15030812
3. Evaluating the NASA MERRA-2 climate reanalysis and ESA CCI satellite remote sensing soil moisture over the contiguous United States M. Valipour et al. 10.1080/01431161.2023.2237665
4. Detecting the human fingerprint in the summer 2022 western–central European soil drought D. Schumacher et al. 10.5194/esd-15-131-2024
5. Evaluating thermal conductivity of soil-rock mixtures in Qinghai-Tibet plateau based on theory models and machine learning methods Q. Wang et al. 10.1016/j.ijthermalsci.2024.109210
6. Optimizing Rice Field Mapping in the Northern Region of China: An Asynchronous Flooding Signal and Object-Based Method L. Li et al. 10.1109/JSTARS.2024.3357141
7. Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model T. Ding et al. 10.1016/j.jag.2024.104003
8. Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting R. Zhang et al. 10.1029/2023WR034457
9. Evaluating satellite-based precipitation products for spatiotemporal drought analysis H. Khan et al. 10.1016/j.jaridenv.2024.105225
10. Relationship between carbon pool changes and environmental changes in arid and semi-arid steppe—A two decades study in Inner Mongolia, China H. Li et al. 10.1016/j.scitotenv.2023.164930
11. Gap‐Filled Multivariate Observations of Global Land–Climate Interactions V. Bessenbacher et al. 10.1029/2023JD039099
12. Response of Grassland Vegetation Growth to Drought in Inner Mongolia of China from 2002 to 2020 A. Zhao et al. 10.3390/atmos14111613