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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 2017 (in order of appearance)


Blunden, J., Arndt, S. S. (2017), State of the Climate 2016. Bull. Amer. Meteir. Soc., 98 (8). Doi: 10.1175/2017BAMSStateoftheClimate.1.

Liu, L., Liao, J., Chen, X., Zhou, G., Su, Y., Xiang, Z., Wang, Z., Liu, X., Li, Y., Wu, J., Xiong, X., Shao, H., (2017), The Microwave Temperature Vegetation Drought Index (MTVDI) based on AMSR-E brightness temperatures for long-term drought assessment across China (2003–2010). Remote Sensing of Environment. 199. 302–320. doi: 10.1016/j.rse.2017.07.012.

Park, J., Baik, J., Choi, M. (2017), Satellite-based crop coefficient and evapotranspiration using surface soil moisture and vegetation indices in Northeast Asia. CATENA, Volume 156, Pages 305-314, ISSN 0341-8162, https://doi.org/10.1016/j.catena.2017.04.013.

Tian, L., Chen, J., Zhang, Y. (2017), Growing season carries stronger contributions to albedo dynamics on the Tibetan plateau (2017). PLoS ONE. 12. . 10.1371/journal.pone.0180559.

Jin, Q., Wei, J., Yang, Z.-L., Lin, P. (2017), Irrigation-induced environmental changes around the Aral Sea: An integrated view from multiple satellite observations.Remote Sensing. 9. 900. Doi: 10.3390/rs9090900.

Kim, S., Balakrishnan, K., Liu, Y., Johnson, F., Sharma, A. (2017), Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation Products. IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 9, pp. 1604-1608, Sept. 2017. doi: 10.1109/LGRS.2017.2725945

Zohaib, M., Kim, H., Choi, M. (2017), Evaluating the Patterns of Spatiotemporal Trends of Root Zone Soil Moisture in Major Climate Regions in East Asia. Journal of Geophysical Research: Atmospheres. View issue TOC Volume 122, Issue 15,16 August 2017 Pages 7705–7722. Doi: 10.1002/2016JD026379.


Afshar, M.H., Yilmaz, M.T. (2017), The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products. Remote Sensing of Environment. 196. Pages 224-237. Doi: 10.1016/j.rse.2017.05.017.

Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, P., Hirschi, M., Ikonen, J., De Jeu, R., Kidd, R., Lahoz, W., Y, Y., Liu, Lacomte, 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.

 

Kundu, D., Vervoort, R.W., van Ogtrop, F.F. (2017), The value of remotely sensed surface soil moisture for model calibration using SWAT. Hydrological Processes. 31. 2764-2780. doi: 10.1002/hyp.11219.

 

Peng, J., Loew, A., (2017), Recent Advances in Soil Moisture Estimation from Remote Sensing. Water. 9. 530. Doi: 10.3390/w9070530.

 

Peng, J., Loew, A., Crueger, T. (2017), The relationship between the Madden-Julian oscillation and the land surface soil moisture. Remote Sensing of Enviroment, 2017. Doi: 10.1016/j.rse2017.07.004

 

Schellekens J., Dutra E., Martínez-de la Torre A., Balsamo G., Van Dijk A., Sperna Weiland F., Minvielle M., Calvet J., Decharme B., Eisner S., Fink G., Flörke M., Peßenteiner S., Van Beek R., Polcher J., Beck H., Orth R., Calton B., Burke S, Dorigo W., P. Weedon G (2017), A global water resources ensemble of hydrological models: The eartH2Observe Tier-1 dataset. Earth System Science Data. 9. 389-413. doi: 10.5194/essd-9-389-2017.

 

Scholze, M., Buchwitz, M., Dorigo, W., Guanter, L., Quegan, S. (2017), Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems.  Biogeosciences. 14. 3401-3429. Doi: 10.5194/bg-14-3401-2017. 

 


Nicolai-Shaw, N., J. Zscheischler, M. Hirschi, L. Gudmundsson, and S. I. Seneviratne (2017), A drought event composite analysis using satellite remote sensing based soil moisture, Remote Sensing of Environment, doi:10.1016/j.rse.2017.06.014.

Kolassa, J., Gentine, P., Prigent, C., Aires, F., Alemohammad, S.H. (2017) Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation. Remote Sensing of Environment, Volume 195, Pages 202-217, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.04.020.

Cammalleri, C., Vogt, J. V., Bisselink, B., de Roo, A. (2017) Comparing soil moisture anomalies from multiple independent sources over different regions across the globe. Hydrology and Earth System Science Discussion, doi:10.5194/hess-2017-196.