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Deep and Machine Learning for monitoring groundwater levels..:

, In: 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS),

Galodha, Abhinav ; Sai, Kayithi Naga ; Lall, Brejesh.. - p. 1-3 , 2024

Link: https://doi.org/10.1109/MIGARS61408.2024.10544513

RT 
T1 <cTitle>2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)</cTitle>: T1 <Title>Deep and Machine Learning for monitoring groundwater levels and hydrological changes using GRACE and SENTINEL-1 for the Ganga River basin</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10544513&Exemplar=1&LAN=DE
				
A1 Galodha, Abhinav
A1 Sai, Kayithi Naga
A1 Lall, Brejesh
A1 Ahammad, Shaikh Ziauddin
A1 Anees, Sanya
YR 2024
K1 Visualization
K1 Satellites
K1 Machine learning
K1 Transformers
K1 Rivers
K1 Synthetic aperture radar
K1 Monitoring
K1 Visual Transformers (ViT)
K1 VGG (Very Deep Convolutional Networks)
K1 U-Net
K1 groundwater level mapping
K1 groundwater monitoring
K1 spatio-temporal analysis
K1 geophysics
K1 Indo-Gangetic basin
K1 Sentinel-1
K1 Gravity Recovery and Climate Experiment (GRACE)
SP 1
OP 3
LK http://dx.doi.org/https://doi.org/10.1109/MIGARS61408.2024.10544513
DO https://doi.org/10.1109/MIGARS61408.2024.10544513
SF ELIB - SuUB Bremen

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