Algorithm Teoretical Baseline DocumentESA CCI SM v07.1
The latest version (v07.1) includes data to 2021-12-31. The algorithm has been updated as follows:
- The new Feng Yun 3D and ASCAT-C sensors have been included
- The model parametrization of LPRM has been improved in LPRMv7.1. This applioes to all passive sensors with the exception of SMOS and SMAP, for which LPRMv06.2 is used
- Day-time observations for all passive sensors have been made available
- A new optional flag for barren grounds has been included
- An intra-annual bias correction method is used for the harmonization of the sensors
- The temporal extent of the products is brought up to the end of 2021
Further information can be found in the documentation:
Licensing conditions follow the principles of openness and transparency wherever applicable. All ECV data products resulting from the project are freely accessible.
Downloading the Data
The ftp site is only accessible via SFTP (secure file transfer protocol). You will need to use ftp software that can handle this protocol, e.g. Filezilla. You will need to set the communication port to 22. If you cannot access it please recheck the login credentials, and port settings, and re-try. If you cannot access to the ftp site after number of attempts over a couple of days, please contact us via the e-mail addresses provided in e-mail you received with the login credentials.
If you download the data in the zipped format, this can be extracted using software such as 7-zip or via the command line.
Using the Data
For information on how to use the product, please read the Product User Guide (PUG). This is also available in the docs folder of the FTP site (from which the data can be downloaded).
A package is available in python for reading the data as daily images and converting these images to time series and reading them.
- The source code for our python package and installation instructions are available here: https://github.com/TUW-GEO/esa_cci_sm
- The package can be installed via pip using "pip install esa_cci_sm"
- The documentation for this package is available here: https://esa-cci-sm.readthedocs.io/en/latest/
Citing the data
The following citations are compulsory with the use of the dataset:
- Gruber, A., Scanlon, T., van der Scalie, R., Wagner, W., Dorigo, W. (2019), Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth System Science Data, 11, 717-739, https://doi.org/10.5194/essd-11-717-2019.
- Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P. D., Hirschi, M., Ikonen, J., de Jeu, R., Kidd, R., Lahoz, W., Liu, Y. Y.,Miralles, D., Mistelbauer, T., Nicolai-Shaw, N., Parinussa, R., Pratola, C., Reimer, C., van der Schalie, R., Seneviratne, S. I. Smolander, T., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions, Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.07.001.
If using the break-adjusted product, the following is also compulsory in addition to the above:
- Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W. (2021). Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record, in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.
If you are interested in previous product versions, please send us a request at: