A Spatial and Temporal Continuum Remotely Sensed Soil Moisture Dataset of the Tibet Plateau From 2002 to 2015
- 1Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing, China (yaokuicui@pku.edu.cn)
- 2School of Resource and Environmental Science, Wuhan University, Wuhan, China
- 3Central China Normal University, Wuhan, China
Abstract:
Surface soil moisture plays an important role in the exchange of water and energy between the land surface and the atmosphere, and critical to climate change study. The Tibetan Plateau (TP), known as “The third pole of the world” and “Asia’s water towers”, exerts huge influences on and sensitive to global climates. Long time series of and spatio-temporal continuum soil moisture is helpful to understand the role of TP in this situation. In this study, a dataset of 14-year (2002–2015) Spatio-temporal continuum remotely sensed soil moisture of the TP at 0.25° resolution is obtained, combining MODIS optical products and ESA (European Space Agency) ECV (Essential Climate Variable) combined soil moisture products based on General Regression Neural Network (GRNN). The validation of the dataset shows that the soil moisture is well reconstructed with R2 larger than 0.65, and RMSE less than 0.08 cm3 cm-3 and Bias less than 0.07 cm3 cm-3 at 0.25° and 1° spatial scale, compared with the in-situ measurements in the central of TP. And then, spatial and temporal characteristics and trend of SM over TP were analyzed based on this dataset.
Keywords: Soil moisture; Remote Sensing; Dataset; GRNN; ECV; Tibetan Plateau
How to cite: Cui, Y., Zeng, C., Zhou, J., and Chen, X.: A Spatial and Temporal Continuum Remotely Sensed Soil Moisture Dataset of the Tibet Plateau From 2002 to 2015, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20846, https://doi.org/10.5194/egusphere-egu2020-20846, 2020
