Estimating terrestrial water storage (TWS) with high spatial resolution is crucial for hydrological and water resource management. Comparing to traditional in-situ data measurement, observation from space borne sensor such as Gravity Recovery and Climate Experiment (GRACE) satellites is quite effective to obtain a large-scale TWS data. However, the coarse resolution of the GRACE data restricts its application at a local scale. This paper presents three novel convolutional neural network (CNN) based approaches including the Super-Resolution CNN (SRCNN), the Very Deep Super-Resolution (VDSR), and the Residual Channel Attention Networks (RCAN) to spatial downscaling of the monthly GRACE TWS products using the outputs of the Ecological Assimila...
A downscaling framework for coarse resolution Gravity Recovery and Climate Experiment (GRACE) Total ...
Groundwater monitoring in regional scales using conventional methods is challenging since it require...
Groundwater storage is of grave significance for humanity by sustaining the required water for agric...
Gravity Recovery and Climate Experiment (GRACE) satellites can effectively monitor terrestrial water...
We propose a deep learning model: long short-term memory (LSTM) networks to spatially downscale Glob...
Groundwater has a significant contribution to water storage and is considered to be one of the sourc...
Quantifying and monitoring terrestrial water storage (TWS) is an essential task for understanding th...
Quantifying and monitoring terrestrial water storage (TWS) is an essential task for understanding th...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Climate change may cause severe hydrological droughts, leading to water shortages which will require...
NASA’s Gravity Recovery and Climate Experiment (GRACE) has already proven to be a powerful data sour...
With continued threat from climate change and human impacts, high-resolution and continuous hydrolog...
Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, an...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
A downscaling framework for coarse resolution Gravity Recovery and Climate Experiment (GRACE) Total ...
Groundwater monitoring in regional scales using conventional methods is challenging since it require...
Groundwater storage is of grave significance for humanity by sustaining the required water for agric...
Gravity Recovery and Climate Experiment (GRACE) satellites can effectively monitor terrestrial water...
We propose a deep learning model: long short-term memory (LSTM) networks to spatially downscale Glob...
Groundwater has a significant contribution to water storage and is considered to be one of the sourc...
Quantifying and monitoring terrestrial water storage (TWS) is an essential task for understanding th...
Quantifying and monitoring terrestrial water storage (TWS) is an essential task for understanding th...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
Climate change may cause severe hydrological droughts, leading to water shortages which will require...
NASA’s Gravity Recovery and Climate Experiment (GRACE) has already proven to be a powerful data sour...
With continued threat from climate change and human impacts, high-resolution and continuous hydrolog...
Terrestrial water storage (TWS) includes all forms of water stored on and below the land surface, an...
Temporal gaps within the Gravity Recovery and Climate Experiment (GRACE) (gap: 20 months), between G...
A downscaling framework for coarse resolution Gravity Recovery and Climate Experiment (GRACE) Total ...
Groundwater monitoring in regional scales using conventional methods is challenging since it require...
Groundwater storage is of grave significance for humanity by sustaining the required water for agric...