Skip navigation.
Home

Publications

Printer-friendly versionSend by email

Generation of the ESA CCI soil moisture product (citation of these papers is compulsory when you use the ESA CCI product)

Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F.,  Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R.  Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017).  ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017,  ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001.

Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070.

Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014.

 

Special Issue

International Journal of Applied Earth Observation and Geoinformation. Volume 45, Part B, Pages 107-244 (March 2016) Advances in the Validation and Application of Remotely Sensed Soil Moisture - Part 1 Edited by Wouter A. Dorigo and Richard A.M. de Jeu.

International Journal of Applied Earth Observation and Geoinformation. Volume 48, Pages 1-174 (June 2016) Advances in the Validation and Application of Remotely Sensed Soil Moisture - Part 2 Edited by Wouter A. Dorigo and Richard A.M. de Jeu.

 

New Since 2018

April

Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P., Peltola, H. (2018) Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century, Climate dynamics February 2018, Volume 50, Issue 3–4, pp 1177–1192 https://doi.org/10.1007/s00382-017-3671-4

Wang, S., Mo, X., Hu, S., Liu, S., Liu, Z. (2018) Assessment of droughts and wheat yield loss on the North China Plain with an aggregate drought index (ADI) approach, Ecological Indicators,Volume 87, 2018,Pages 107-116,ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2017.12.047.

February

Kang, J.; Jin, R.; Li, X.; Zhang, Y.; Zhu, Z.(2018) Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression, Remote Sensing 2018, 10(2), 192; doi:10.3390/rs10020192 

Ikonen, J., Smolander, T., Rautiainen, K., Cohen, J., Lemmetyinen, J., Salminen, M., Pulliainen, J.(2018) Spatially Distributed Evaluation of ESA CCI Soil Moisture Products in a Northern Boreal Forest Environment, Geosciences 2018, 8, 51. DOI:10.3390/geosciences8020051

Parinussa, R.M., Wang, G., Liu, Y.Y., Hagan, D.F.T., Lin, F., Van der Schalie, R., De Jeu, R.A.M. (2017) The evaluation of single-sensor surface soil moisture anomalies over the mainland of the People's Republic of China, Remote Sens. 9, no. 2: 149. Doi:10.3390/rs9020149 

Gruber, A., Crow, W. T., & Dorigo, W. A. (2018). Assimilation of spatially sparse in situ soil moisture networks into a continuous model domain, Water Resources Research, 54, 1353–1367. https://doi.org/10.1002/2017WR021277

Massari, C., Camici, S., Ciabatta, L., Brocca, L., Remote sensing (2018) Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction, Remote Sens. 10, no. 2: 292. doi:10.3390/rs10020292

Ciabatta, L., Massari, C., Brocca, L., Gruber, A., Reimer, C., Hahn, S., Paulik, C., Dorigo, W., Kidd, R., and Wagner, W.(2018) SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture, Earth Syst. Sci. Data, 10, 267-280, https://doi.org/10.5194/essd-10-267-2018, 2018. 

Zampieri, M., Carmona Garcia, G., Dentener, F., Gumma, Murali K. Salamon, P., Seguini, L., Toreti, A. (2018) Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002, Remote Sens, 10, no. 2: 244. doi:10.3390/rs10020244

Fan, L., Wigneron, J-P., Xiao, Q., Al-Yaari A., Wen J., Martin-StPaul N., Dupuy, J-L., Pimont, F., Al Bitar, A., Fernandez-Moran, R., Kerr, Y.H.(2018) Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region, Remote Sensing of Environment, Volume 205,2018, Pages 210-223, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.11.020.

Kim, S., Paik, K., Johnson, F. M., Sharma, A. (2018)Building a Flood-Warning Framework for Ungauged Locations Using Low Resolution, Open-Access Remotely Sensed Surface Soil Moisture, Precipitation, Soil, and Topographic Information, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 375-387. DOI: 10.1109/JSTARS.2018.2790409

January

Wang, H., He, B., Zhang, Y., Huang, L., Chen, Z., Liu J., (2018) Response of ecosystem productivity to dry/wet conditions indicated by different drought indices,  Science of The Total Environment, Volume 612, 2018, PP 347-357, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2017.08.212.

Van der Schalie, R., De Jeu, R., Parinussa, R., Rodríguez-Fernández, N., Kerr, Y., Al-Yaari, A., Wigneron, J-P., Drusch, M. (2018) The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors, Remote Sens. 10, no. 1: 107. Doi: 10.3390/rs10010107.

Petropoulos, G.P., Srivastava, P.K., Piles, M., Pearson, S.,(2018)Earth observation-based operational estimation of soil moisture and evapotranspiration for agricultural crops in support of sustainable water management, Sustainability 10, no. 1: 181. doi:10.3390/su10010181.

Loizu, J., Massari, C., Álvarez-Mozos, Tarpanelli, A., Brocca, L., Casalí, J. (2018) On the assimilation set-up of ASCAT soil moisture data for improving streamflow catchment simulation. Adwances in waterresources, Volume 111, 2018, Pages 86-104, https://doi.org/10.1016/j.advwatres.2017.10.034.

Kim, H., Parinussa, R.,  Konings, A.G., Wagner, W., Cosh, M.,  Lakshmi, V.,  Zohaib, M., Choi, M., (2018) Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products, Remote Sensing of Environment, Volume 24 January 2018, Pages 260-275 DOI: 10.1016/j.rse.2017.10.026.


Until 2017

Cui, C., Xu, J., Zeng, J. Chen, K-S., Bai, X., Lu, H., Chen, Q., Zhao, T., (2018) Soil moisture mapping from satellites: An intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over two dense network regions at different spatial scales,  Remote Sens. 10, no. 1: 33. doi:10.3390/rs10010033 

Wei, D., Zhang, X., Wang, X. (2017) Journal of Geophysical Research: Biogeosciences Wei, D., Zhang, X., & Wang, X. (2017). Strengthening hydrological regulation of China's wetland greenness under a warmer climate, Journal of Geophysical Research: Biogeosciences, Volume122, Issue12. https://doi.org/10.1002/2017JG004114

Parinussa, R.M., Wang, G., Liu, Y.Y., Hagan, D.F.T., Lin, F., Van der Schalie, R., De Jeu, R.A.M. (2017) The evaluation of single-sensor surface soil moisture anomalies over the mainland of the People's Republic of China, Remote Sens. 9, no. 2: 149. doi:10.3390/rs9020149

Forkel, M., Dorigo, W., Lasslop, G., Teubner, I., Chuvieco, E., Thonicke, K. (2017) A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1), Geosci. Model Dev., 10, 4443-4476, https://doi.org/10.5194/gmd-10-4443-2017, 2017