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