Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning-Reference-Cited by-同舟云学术

Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning

Published:2024-05 Issue: Volume:25 Page:101100
ISSN:2352-801X
Container-title:Groundwater for Sustainable Development
language:en
Short-container-title:Groundwater for Sustainable Development

Author:

Ali Shoaib^ORCID,Ran Jiangjun,Khorrami Behnam,Wu Haotian,Tariq Aqil,Jehanzaib Muhammad,Khan Muhammad Mohsin,Faisal Muhammad

Funder

National Natural Science Foundation of China

Goddard Earth Sciences

Publisher

Elsevier BV

Reference104 articles.

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3. Evaluation of GRACE derived groundwater storage changes in different agro- ecological zones of the Indus Basin;Akhtar;J. Hydrol.,2022

4. Appraisal of remote sensing Technology for groundwater resource management perspective in Indus Basin;Akhter;Sustainability,2021

5. Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation system (IBIS);Ali;Rem. Sens.,2023

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2. Machine learning downscaling of GRACE/GRACE-FO data to capture spatial-temporal drought effects on groundwater storage at a local scale under data-scarcity;Environmental Systems Research;2024-09-03

3. Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin;Water Resources Research;2024-07

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