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Publications Citing Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA

The following 6 publications cited the product Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, USA.

Year Citation
2021 Guglielmo, M., F.H.M. Tang, C. Pasut, and F. Maggi. 2021. SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014. Scientific Data. 8(1): https://doi.org/10.1038/s41597-021-01032-4
2021 O., S. and R. Orth. 2021. Global soil moisture data derived through machine learning trained with in-situ measurements. Scientific Data. 8(1): https://doi.org/10.1038/s41597-021-00964-1
2019 Reichle, R.H., Q. Liu, R.D. Koster, W.T. Crow, G.J.M. De Lannoy, J.S. Kimball, J.V. Ardizzone, D. Bosch, A. Colliander, M. Cosh, J. Kolassa, S.P. Mahanama, J. Prueger, P. Starks, and J.P. Walker. 2019. Version 4 of the SMAP Level-4 Soil Moisture Algorithm and Data Product. Journal of Advances in Modeling Earth Systems. 11(10):3106-3130. https://doi.org/10.1029/2019MS001729
2018 Alemohammad, S.H., J. Kolassa, C. Prigent, F. Aires, and P. Gentine. 2018. Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks. Hydrology and Earth System Sciences Discussions. 1-19. https://doi.org/10.5194/hess-2017-680
2018 Kolassa, J., R.H. Reichle, Q. Liu, S.H. Alemohammad, P. Gentine, K. Aida, J. Asanuma, S. Bircher, T. Caldwell, A. Colliander, M. Cosh, C. Holifield Collins, T.J. Jackson, J. Martinez-Fernandez, H. McNairn, A. Pacheco, M. Thibeault, and J.P. Walker. 2018. Estimating surface soil moisture from SMAP observations using a Neural Network technique. Remote Sensing of Environment. 204:43-59. https://doi.org/10.1016/j.rse.2017.10.045
2017 Clewley, D., J.B. Whitcomb, R. Akbar, A.R. Silva, A. Berg, J.R. Adams, T. Caldwell, D. Entekhabi, and M. Moghaddam. 2017. A Method for Upscaling In Situ Soil Moisture Measurements to Satellite Footprint Scale Using Random Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(6):2663-2673. https://doi.org/10.1109/JSTARS.2017.2690220