Majumdar, Sayantan, Ryan Smith, Brian Conway, and Venkataraman Lakshmi. (11/2022AD) 2022. “Advancing Remote Sensing And Machine Learning-Driven Frameworks For Groundwater Withdrawal Estimation In Arizona: Linking Land Subsidence To Groundwater Withdrawals”. Hydrological Processes 36 (11). John Wiley & Sons, Ltd. doi:10.1002/HYP.14757.
Sayantan Majumdar
First name
Sayantan
Last name
Majumdar
Majumdar, Sayantan, Ryan Smith, James Butler, and Venkataraman Lakshmi. (11/2022AD) 2022. “A New Hybrid Water Balance And Machine Learning Approach For Groundwater Withdrawal Prediction Using Integrated Multi-Temporal Remote Sensing Datasets”. Authorea Preprints. Authorea. doi:10.1002/ESSOAR.10503273.1.
Majumdar, Sayantan, Ryan Smith, Brian Conway, James Butler, and Venkataraman Lakshmi. (11/2022AD) 2022. “Integrating Remote Sensing And Machine Learning For Groundwater Withdrawal Estimation In Arizona”. Authorea Preprints. Authorea. doi:10.1002/ESSOAR.10504981.1.
Asfaw, Dawit, Ryan Smith, Sayantan Majumdar, Venkataraman Lakshmi, Bin Fang, Katherine Grote, James Butler, and Blake Wilson. (12/2023AD) 2023. “Capturing The Spatio-Temporal Variability Of Groundwater Pumping Using Remote Sensing Products And Machine Learning Techniques: An Assessment Of Training Data Quality And Quantity Implications On Model Performance”. In Agu23. San Francisco. https://ui.adsabs.harvard.edu/abs/2023AGUFM.H43I2192A/abstract.
Majumdar, Sayantan, Thomas Ott, Justin Huntington, Ryan Smith, Venkataraman Lakshmi, and Bin Fang. (02/2024AD) 2024. “Toward Field Scale Groundwater Withdrawals In The Western U.s. Using Remote Sensing And Climate Data”. Authorea Preprints. Authorea. doi:10.22541/ESSOAR.170688858.81127989/V1.