Interpreting Global Terrestrial Water Storage Dynamics and Drivers with Explainable Deep Learning
Sustained reductions in terrestrial water storage (TWS) have been observed globally using Gravity Recovery and Climate Experiment (GRACE) satellite data since 2002. However, the underlying mechanisms remain incompletely understood due to limited record lengths and data discontinuity. Recently, expla...
Saved in:
| Main Authors: | Haijun Huang, Xitian Cai, Lu Li, Xiaolu Wu, Zichun Zhao, Xuezhi Tan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/13/2118 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatiotemporal Responses of Global Vegetation Growth to Terrestrial Water Storage
by: Chao Wang, et al.
Published: (2025-05-01) -
Urban grey-green scales: A new perspective for assessing dynamic spatial trade-offs
by: Xi Wang, et al.
Published: (2025-08-01) -
Coordination level, spatio-temporal effects and driving mechanisms of Chinese agricultural water–land–economy composite system from the perspective of sustainable development
by: Shanwei Li, et al.
Published: (2025-07-01) -
Spatiotemporal variability of terrestrial water storage over the Tibetan Plateau from the joint inversion of GNSS and GRACE observations
by: Meilin He, et al.
Published: (2025-07-01) -
Near‐Real‐Time Monitoring of Global Terrestrial Water Storage Anomalies and Hydrological Droughts
by: Shaoxing Mo, et al.
Published: (2025-04-01)