Articles | Volume 13, issue 1
Earth Syst. Sci. Data, 13, 1–31, 2021
https://doi.org/10.5194/essd-13-1-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 13, 1–31, 2021
https://doi.org/10.5194/essd-13-1-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
05 Jan 2021
Data description paper
| 05 Jan 2021
An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018
Yongzhe Chen et al.
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Cited
12 citations as recorded by crossref.
- In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model L. Zhang et al. 10.3390/rs13234893
- An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales M. Wang et al. 10.1016/j.rse.2021.112556
- Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 Q. Zhang et al. 10.5194/essd-13-1385-2021
- Critical adjustment of land mitigation pathways for assessing countries’ climate progress G. Grassi et al. 10.1038/s41558-021-01033-6
- ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite X. Liu et al. 10.1016/j.rse.2021.112587
- Spatiotemporal characteristics of agricultural droughts based on soil moisture data in Inner Mongolia from 1981 to 2019 S. Cai et al. 10.1016/j.jhydrol.2021.127104
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- A fine-resolution soil moisture dataset for China in 2002–2018 X. Meng et al. 10.5194/essd-13-3239-2021
- Trends and attribution analysis of modelled evapotranspiration on the Tibetan Plateau H. Zhang et al. 10.1002/hyp.14527
- InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. 10.1029/2021EA001845
- Regional differentiation in the ecological effects of land cover change in China H. Wang et al. 10.1002/ldr.4156
- Separating the effects of climate change and human activities on drought propagation via a natural and human-impacted catchment comparison method M. Wang et al. 10.1016/j.jhydrol.2021.126913
12 citations as recorded by crossref.
- In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model L. Zhang et al. 10.3390/rs13234893
- An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales M. Wang et al. 10.1016/j.rse.2021.112556
- Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 Q. Zhang et al. 10.5194/essd-13-1385-2021
- Critical adjustment of land mitigation pathways for assessing countries’ climate progress G. Grassi et al. 10.1038/s41558-021-01033-6
- ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite X. Liu et al. 10.1016/j.rse.2021.112587
- Spatiotemporal characteristics of agricultural droughts based on soil moisture data in Inner Mongolia from 1981 to 2019 S. Cai et al. 10.1016/j.jhydrol.2021.127104
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- A fine-resolution soil moisture dataset for China in 2002–2018 X. Meng et al. 10.5194/essd-13-3239-2021
- Trends and attribution analysis of modelled evapotranspiration on the Tibetan Plateau H. Zhang et al. 10.1002/hyp.14527
- InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. 10.1029/2021EA001845
- Regional differentiation in the ecological effects of land cover change in China H. Wang et al. 10.1002/ldr.4156
- Separating the effects of climate change and human activities on drought propagation via a natural and human-impacted catchment comparison method M. Wang et al. 10.1016/j.jhydrol.2021.126913
Latest update: 27 Jun 2022
Short summary
Soil moisture can greatly influence the ecosystem but is hard to monitor at the global scale. By calibrating and combining 11 different products derived from satellite observation, we developed a new global surface soil moisture dataset spanning from 2003 to 2018 with high accuracy. Using this new dataset, not only can the global long-term trends be derived, but also the seasonal variation and spatial distribution of surface soil moisture at different latitudes can be better studied.
Soil moisture can greatly influence the ecosystem but is hard to monitor at the global scale. By...
