This data set is only available for a restricted user group, please contact us if you want to access these data.
RESTRICTED only accessable in CEN/MPI net or via CliSAP login What does that mean?
View data via LAS
Use data via OPeNDAP
Data access via file system /data/icdc/land/esa_cci_soilmoisture
Note: The data set contains quite a lot of data gaps and also the quality flags cannot satisfy yet everywhere. Still this is a unique data set.
Coverage, spatial and temporal resolution
Period and temporal resolution:
- 1978-11-01 to 2018-06-30
Coverage and spatial resolution
- Spatial resolution: 0.25° x 0.25°, cartesian grid
- Geographic latitude: 89.875°S to 89.875°N
- Geographic longitude: 179.875°W to 179.875°E
- Dimension: 720 rows x 1440 columns
- Altitude: following terrain
Each file of the data set contains an uncertainty estimate and a set of quality flags which basically document the reason why data have been discarded from the data set (see below); in addition each file gives information about the sensors used.
We note, that soil moisture retrieval is limited in regions of pronounced topography, in case of standing water, and in areas of dense vegetation. For snow covered areas and frozen soil a soil moisture retrieval is also not possible.
Substantial gaps occur in the data set. These stem from the fact that the used satellite sensors only view a limited portion of the Earth's surface during their overpasses during one day.
We recommend to take a look at the references and the papers listed under "Data citation" (see below) for more details about data quality, validation, and inter-comparison studies.
Users should be aware of the fact that the product is merged from data from a variety of satellite sensors. Their differences in viewing geometry, sensing characteristics, and orbital coverage as well as different maturity of SM retrieval algorithms may cause inconsistencies in the data set.
Available on request are additional netCDF files containing the distribution of the topographic complexity, wetland fraction, soil porosity, and vegetation optical depth mean as well as a separate land mask.
Vienna University of Technology, Austria
VU University Amsterdam, The Netherlands
email: ecv_sm_contact (at) ipf.tuwien.ac.at
Vienna University of Technology
email: richard.kidd (at) geo.tuwien.ac.at
ICDC / CEN / University of Hamburg
email: stefan.kern (at) uni-hamburg.de
We recommend to regularly check http://www.esa-soilmoisture-cci.org for updated information from the ESA-CCI Soil Moisture ECV project.
Algorithm Theoretical Basis Documents:
- Gruber, A., et al., 2017, Triple collocation-based merging of satellite soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing, 1-13.
- Dorigo, W. A., et al., 2017, ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions, Remote Sensing of Environment. doi.org/10.1016/j.rse.2017.07.001.
- Dorigo, W. A., et al., 2015, Evaluation of the ESA CCI soil moisture product using ground-based observations, Remote Sensing of Environment, 162, 380-395, doi:10.1016/j.rse.2014.07.023.
- Zeng, J., et al., 2015, Evaluation of Remotely Sensed and Reanalysis Soil Moisture Products over the Tibetan Plateau using in situ Observations, Remote Sensing of Environment, 163, 91-110, doi:10.1016/j.rse.2015.03.008.
- Jing, W., et al., 2018, A comparison of ECV and SMOS soil moisture products based on OzNet monitoring network, Remote Sensing, 10(5), 703, doi:10.3390/rs10050703.
Please use the following three references:
- Dorigo, W. A., et al., 2017, ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions, Remote Sensing of Environment, 203, 185-215, 2017, doi:10.1016/j.rse.2017.07.001.
- Gruber, A., et al., 2017, Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals, Transactions on Geoscience and Remote Sensing, 55(12), 1-13. doi:10.1109/TGRS.2017.2734070.
- Liu, Y. Y., et al., 2012, Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297.
and mention ICDC (http://icdc.cen.uni-hamburg.de) in the acknowledgements.