Machine learning, Big data, and Artificial intelligence

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Kathuria, D., Mohanty, B.P. and Katzfuss, M., 2019. Multiscale data fusion for surface soil moisture estimation: a spatial hierarchical approach. Water Resources Research.

Mao, H., Kathuria, D., Duffield, N. and Mohanty, B.P., 2019. Gap Filling of High‐Resolution Soil Moisture for SMAP/Sentinel‐1: A Two‐Layer Machine Learning‐Based Framework. Water Resources Research, 55(8), pp.6986-7009.

Shin, Y., Mohanty, B.P. and Ines, A.V., (2018). “Development of non-parametric evolutionary algorithm for predicting soil moisture dynamics”. Journal of Hydrology, 564, pp.208-221.

Ines, A. V. M., B. P. Mohanty, and Y. Shin (2013), An unmixing algorithm for remotely sensed soil moisture, Water Resour. Res., 49, doi:10.1029/2012WR012379.

Jana, R. B., and B. P. Mohanty (2012), A Comparative Study of Multiple Approaches to Soil Hydraulic Parameter Scaling Applied at the Hill-Slope Scale, Water Resour. Res., 48, W02520, doi:10.1029/2010WR010185.

Jana, R. B.,, B. P. Mohanty, and Z. Sheng (2012), Upscaling Soil Hydraulic Parameters in the Picacho Mountain Region Using Bayesian Neural Networks, Transactions of American Society of Agricultural and Biological Engineering, 55(2), 463-473.

Shin, Y., B. P. Mohanty, and A.V.M. Ines (2012), Soil hydraulic properties in one-dimensional layered soil profile using layer-specific soil moisture assimilation scheme, Water Resour. Res., 48, W06529, doi:10.1029/2010WR009581.

Jana, R. B., and B. P. Mohanty, Enhancing PTFs with Remotely Sensed Data for Multi-Scale Soil Water Retention Estimation (2011), J. Hydrol., doi:10.1016/j.jhydrol.2010.12.043.

Ines A. V. M., and B. P. Mohanty (2009), Near-Surface Soil Moisture Assimilation for Quantifying Effective Soil Hydraulic Properties Using Genetic Algorithms: 2. Using Air-borne Remote Sensing During SGP97 and SMEX02, Water Resour. Res., 45, 10.1029/2007WR007022.

Ines A. V. M., and B. P. Mohanty (2008), Near-Surface Soil Moisture Assimilation for Quantifying Effective Soil Hydraulic Properties Using Genetic Algorithm: 1. Conceptual modeling, Water Resour. Res., 44, W06422, doi:10.1029/2007WR005990.

Jana R. B., B. P. Mohanty, and E. P. Springer (2008), Multiscale Bayesian Neural Networks for Soil Water Content Estimation, Water Resour. Res., 44, W08408, doi: 10.1029/2008WR006879.

Ines A. V. M., and B. P. Mohanty (2008), Parameter Conditioning With a Noisy Monte Carlo Genetic Algorithm for Estimating Effective Soil Hydraulic Properties From Space, Water Resour. Res., doi: 10.1029/2007WR006125.

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