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Sayantan Majumdar
Sayantan Majumdar
Assistant Research Professor, Hydrologic Sciences and Remote Sensing, Desert Research Institute
Verified email at dri.edu - Homepage
Title
Cited by
Cited by
Year
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
522020
Groundwater Storage Loss Associated with Land Subsidence in Western US Mapped Using Machine Learning
RG Smith, S Majumdar
Water Resources Research 56 (7), 1-14, 2020
52*2020
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar
J Tolan, HI Yang, B Nosarzewski, G Couairon, HV Vo, J Brandt, J Spore, ...
Remote Sensing of Environment 300, 113888, 2024
10*2024
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
92023
X-band Polarimetric SAR Copolar Phase Difference for Fresh Snow Depth Estimation in the Northwestern Himalayan watershed
S Majumdar, PK Thakur, L Chang, S Kumar
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
82019
An Open Source WebGIS-based Precise Satellite Tracking and Visualisation Tool using Two Line Element Data
A Maiti, S Majumdar, S Shukla, SR Koti, PK Gupta
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2018
72018
Snow Depth and SWE Estimation using Spaceborne Polarimetric and Interferometric Synthetic Aperture Radar
S MAJUMDAR
Faculty ITC, University of Twente, 2019
6*2019
New Secured Steganography Algorithm using Encrypted Secret Message Inside QRTM code: System Implemented in Android Phone
S Majumdar, A Maiti, A Nath
2015 International Conference on Computational Intelligence and …, 2015
42015
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, e14757, 2022
22022
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
22021
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
22019
The Potential of Channel Specific Reflectance in Landsat 8 OLI Sensor for Retrieving Coal Fire Affected Pixels
R Ghosh, PK Gupta, V Tolpekin, SK Srivastav, S Majumdar
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
Open Agent Based Runoff and Erosion Simulation (OARES): A Generic Cross Platform Tool for Spatio-temporal Watershed Monitoring using Climate Forecast System Reanalysis Weather Data
S Majumdar, S Shukla, A Maiti
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information …, 2018
12018
Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce …
S Majumdar, RG Smith, MF Hasan, JL Wilson, VE White, EL Bristow, ...
Journal of Hydrology: Regional Studies 52, 101674, 2024
2024
Aquaculture and Irrigation Water Use Model 2.0 software
S Majumdar, RG Smith, MF Hasan, JL Wilson, VE White, EL Bristow, ...
U.S. Geological Survey software release, 2024
2024
Aquaculture and Irrigation Water Use Model (AIWUM) 2.0 input and output datasets
S Majumdar, RG Smith, MF Hasan, JL Wilson, VE White, EL Bristow, ...
U.S. Geological Survey data release, 2024
2024
Toward Sustainable Groundwater Management: Harnessing Remote Sensing and Climate Data to Estimate Field-Scale Groundwater Pumping
TJ Ott, S Majumdar, J Huntington, C Pearson, M Bromley, BA Minor, ...
2024
Capturing the Spatio-Temporal Variability of Groundwater Pumping Using Remote Sensing Products and Machine Learning Techniques: An Assessment of Training Data Quality and …
D Asfaw, R Smith, S Majumdar, VV Lakshmi, B Fang, K Grote, JJ Butler, ...
AGU23, 2023
2023
Toward Field Scale Groundwater Withdrawals in the Western US using Remote Sensing and Climate Data
S Majumdar, T Ott, JL Huntington, R Smith, B Fang, VV Lakshmi
AGU Fall Meeting 2023, 2023
2023
Integrating Remote Sensing and Machine Learning for High-Resolution Groundwater Use Estimation
S Majumdar, R Smith
AGU Hydrology Days, 25, 2023
2023
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