| Overpumping leads to California groundwater arsenic threat R Smith, R Knight, S Fendorf Nature Communications 9 (2089), 2018 | 168 | 2018 |
| Estimating the permanent loss of groundwater storage in the southern San Joaquin Valley, California RG Smith, R Knight, J Chen, JA Reeves, HA Zebker, T Farr, Z Liu Water Resources Research, 2017 | 135 | 2017 |
| Mapping aquifer systems with airborne electromagnetics in the Central Valley of California R Knight, R Smith, T Asch, J Abraham, J Cannia, A Viezzoli, G Fogg Groundwater 56 (6), 893-908, 2018 | 79 | 2018 |
| Modeling land subsidence using InSAR and airborne electromagnetic data R Smith, R Knight Water Resources Research 55, 2019 | 50 | 2019 |
| Groundwater withdrawal prediction using integrated multitemporal remote sensing data sets and machine learning S Majumdar, R Smith, JJ Butler Jr, V Lakshmi Water Resources Research 56 (11), e2020WR028059, 2020 | 49 | 2020 |
| Groundwater Storage Loss Associated with Land Subsidence in Western US Mapped Using Machine Learning RG Smith, S Majumdar Water Resources Research 56, 2020 | 49 | 2020 |
| Correlating geological and seismic data with unconventional resource production curves using machine learning R Smith, T Mukerji, T Lupo Geophysics 84 (2), B121-V132, 2018 | 23 | 2018 |
| Remote sensing of groundwater: current capabilities and future directions KH Adams, JT Reager, P Rosen, DN Wiese, TG Farr, S Rao, BJ Haines, ... Water Resources Research 58 (10), e2022WR032219, 2022 | 16 | 2022 |
| Development and Application of a 1D Compaction Model to Understand 65 Years of Subsidence in the San Joaquin Valley M Lees, R Knight, R Smith Water Resources Research 58, 2022 | 16 | 2022 |
| Modeling elastic and inelastic pumping-induced deformation with incomplete water level records in Parowan Valley, Utah R Smith, J Li Journal of Hydrology 601, 126654, 2021 | 13 | 2021 |
| Global land subsidence mapping reveals widespread loss of aquifer storage capacity MF Hasan, R Smith, S Vajedian, R Pommerenke, S Majumdar Nature Communications 14 (1), 6180, 2023 | 8 | 2023 |
| Apportioning deformation among depth intervals in an aquifer system using InSAR and head data RG Smith, H Hashemi, J Chen, R Knight Hydrogeology Journal 29 (7), 2475, 2021 | 7 | 2021 |
| A new approach for estimating and delineating within-field crop water stress zones with satellite imagery RG Smith, L Oyler, C Campbell, E Woolley, B Hopkins, R Kerry, N Hansen International Journal of Remote Sensing 42 (16), 6005-6024, 2021 | 4 | 2021 |
| Analyzing spatio-temporal mechanisms of land subsidence in the Parowan Valley, Utah, USA J Li, R Smith, K Grote Hydrogeology Journal 31 (2), 293-311, 2023 | 3 | 2023 |
| Subsurface mapping with airborne electromagnetics in the Central Valley of California R Knight, R Smith, T Asch, J Abraham, J Cannia, A Viezzoli SEG Technical Program Expanded Abstracts 2016, 4926-4930, 2016 | 3 | 2016 |
| Estimating aquifer system storage loss with water levels, pumping and InSAR data in the Parowan Valley, Utah R Smith, J Li, K Grote, J Butler Water Resources Research 59 (4), e2022WR034095, 2023 | 2 | 2023 |
| Advancing remote sensing and machine learning‐driven frameworks for groundwater withdrawal estimation in Arizona: Linking land subsidence to groundwater withdrawals S Majumdar, R Smith, BD Conway, V Lakshmi Hydrological Processes 36 (11), e14757, 2022 | 2 | 2022 |
| Estimating Local-Scale Groundwater Withdrawals Using Integrated Remote Sensing Products and Deep Learning S Majumdar, R Smith, BD Conway, JJ Butler, V Lakshmi, CH Dagli 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4304 …, 2021 | 2 | 2021 |
| Estimating Groundwater Extraction with Integrated Satellite Datasets and Machine Learning R Smith, S Majumdar, L Oyler, J Butler Jr, V Lakshmi Geol. Soc. Am. Abstr. with Programs,(Phoenix, AZ, USA), 2019 | 2 | 2019 |
| The use of color wheels to communicate uncertainty in the interpretation of geophysical data M Nordin, R Smith, R Knight The Leading Edge 35 (9), 786-789, 2016 | 2 | 2016 |
Sayantan MajumdarAssistant Research Professor, Hydrologic Sciences and Remote Sensing, Desert Research InstituteVerified email at dri.edu
