Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3053-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3053-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 Jul 2022
Data description paper |
| 06 Jul 2022
| 06 Jul 2022
Daily soil moisture mapping at 1 km resolution based on SMAP data for desertification areas in northern China
Pinzeng Rao
State Key Laboratory of Hydroscience and Engineering, Department of
Hydraulic Engineering, Tsinghua University, Beijing 100084, China
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing 100038, China
Yicheng Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing 100038, China
Fang Wang
CORRESPONDING AUTHOR
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing 100038, China
Yang Liu
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing 100038, China
Xiaoya Wang
State Key Laboratory of Remote Sensing Science, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
Zhu Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in
River Basin, China Institute of Water Resources and Hydropower Research,
Beijing 100038, China
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Cited
13 citations as recorded by crossref.
- Spatiotemporal Patterns and Regional Differences in Soil Thermal Conductivity on the Qinghai–Tibet Plateau W. Liu et al. 10.3390/rs15041168
- Spatial-temporal constraints for surface soil moisture mapping using Sentinel-1 and Sentinel-2 data over agricultural regions Z. Ya'nan et al. 10.1016/j.compag.2024.108835
- A multi-source data fusion method to retrieve soil moisture dynamics and its influencing factors analysis in the ecological zone of the eastern margin of the Tibetan Plateau S. Wang et al. 10.1016/j.ecolind.2024.112877
- A review of social-ecological system vulnerability in desertified regions: Assessment, simulation, and sustainable management D. Xu et al. 10.1016/j.scitotenv.2024.172604
- Assessment of Land Desertification and Its Drivers in Semi-Arid Alpine Mountains: A Case Study of the Qilian Mountains Region, Northwest China Z. Liu et al. 10.3390/rs15153836
- A Spatial Downscaling Framework for SMAP Soil Moisture Based on Stacking Strategy J. Xu et al. 10.3390/rs16010200
- Transforming desertification patterns in Asia: Evaluating trends, drivers, and climate change impacts from 1990 to 2022 H. Qi et al. 10.1016/j.ecolind.2024.111948
- Assessing Regional Precipitation Patterns Using Multiple Global Satellite-Based Datasets in the Upper Citarum Watershed, Indonesia M. Habibie et al. 10.1007/s12524-024-01952-9
- High Spatial Resolution Soil Moisture Improves Crop Yield Estimation R. Mai et al. 10.1109/JSTARS.2024.3417424
- Soil organic matter mapping using INLA-SPDE with remote sensing based soil moisture indices and Fourier transforms decomposed variables C. Yang et al. 10.1016/j.geoderma.2023.116571
- Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data S. Tesfamichael et al. 10.1080/22797254.2023.2246638
- Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns E. Ghafari et al. 10.1016/j.srs.2024.100122
- Daily soil moisture mapping at 1 km resolution based on SMAP data for desertification areas in northern China P. Rao et al. 10.5194/essd-14-3053-2022
12 citations as recorded by crossref.
- Spatiotemporal Patterns and Regional Differences in Soil Thermal Conductivity on the Qinghai–Tibet Plateau W. Liu et al. 10.3390/rs15041168
- Spatial-temporal constraints for surface soil moisture mapping using Sentinel-1 and Sentinel-2 data over agricultural regions Z. Ya'nan et al. 10.1016/j.compag.2024.108835
- A multi-source data fusion method to retrieve soil moisture dynamics and its influencing factors analysis in the ecological zone of the eastern margin of the Tibetan Plateau S. Wang et al. 10.1016/j.ecolind.2024.112877
- A review of social-ecological system vulnerability in desertified regions: Assessment, simulation, and sustainable management D. Xu et al. 10.1016/j.scitotenv.2024.172604
- Assessment of Land Desertification and Its Drivers in Semi-Arid Alpine Mountains: A Case Study of the Qilian Mountains Region, Northwest China Z. Liu et al. 10.3390/rs15153836
- A Spatial Downscaling Framework for SMAP Soil Moisture Based on Stacking Strategy J. Xu et al. 10.3390/rs16010200
- Transforming desertification patterns in Asia: Evaluating trends, drivers, and climate change impacts from 1990 to 2022 H. Qi et al. 10.1016/j.ecolind.2024.111948
- Assessing Regional Precipitation Patterns Using Multiple Global Satellite-Based Datasets in the Upper Citarum Watershed, Indonesia M. Habibie et al. 10.1007/s12524-024-01952-9
- High Spatial Resolution Soil Moisture Improves Crop Yield Estimation R. Mai et al. 10.1109/JSTARS.2024.3417424
- Soil organic matter mapping using INLA-SPDE with remote sensing based soil moisture indices and Fourier transforms decomposed variables C. Yang et al. 10.1016/j.geoderma.2023.116571
- Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data S. Tesfamichael et al. 10.1080/22797254.2023.2246638
- Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns E. Ghafari et al. 10.1016/j.srs.2024.100122
Latest update: 13 Dec 2024
Short summary
It is urgent to obtain accurate soil moisture (SM) with high temporal and spatial resolution for areas affected by desertification in northern China. A combination of multiple machine learning methods, including multiple linear regression, support vector regression, artificial neural networks, random forest and extreme gradient boosting, has been applied to downscale the 36 km SMAP SM products and produce higher-spatial-resolution SM data based on related surface variables.
It is urgent to obtain accurate soil moisture (SM) with high temporal and spatial resolution for...
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