This repository contains all the code and instructions needed to produce the merged soil moisture dataset described in Peng et al. (2021), using triple collocation merging technique. The output gridded soil moisture product, available to download from the EIDC (Tanguy et al., 2021), is the result of merging two remote sensing satellite soil moisture products (SMAP and ASCAT) and soil moisture from a land surface model (JULES-CHESS). The triple collocation method ensures that the error in the merged product is minimised from a statistical point of view (minimises random errors). The step-by-step instructions can be found in the “documentation” subfolder.
This work was carried out under HydroJULES programme funded by the UK Natural Environment Research Council (NE/S017380/1).
Peng, J., Tanguy, M., Robinson, E., Pinnington, E, Evans, J., Ellis, R., Cooper, E., Hannaford, J., Blyth, E., Dadson, S. (2021) Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain, Remote Sensing of the Environment, 264, 112610 https://doi.org/10.1016/j.rse.2021.112610
Tanguy, M.; Peng, J.; Robinson, E.; Pinnington, E.; Evans, J.; Ellis, R.; Cooper, E.; Hannaford, J.; Blyth, E.; Dadson, S. (2022). Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea