Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS)

Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS)

Climate change may cause severe hydrological droughts, leading to water shortages which will require to be assessed using high-resolution data. Gravity Recovery and Climate Experiment (GRACE) satellite Terrestrial Water Storage (TWSA) estimates offer a promising solution to monitor hydrological drou...

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Bibliographic Details
Main Authors: Shoaib Ali, Behnam Khorrami, Muhammad Jehanzaib, Aqil Tariq, Muhammad Ajmal, Arfan Arshad, Muhammad Shafeeque, Adil Dilawar, Iqra Basit, Liangliang Zhang, Samira Sadri, Muhammad Ahmad Niaz, Ahsan Jamil, Shahid Nawaz Khan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
Indus Basin Irrigation System
GRACE
TWS
machine learning models
downscaling
drought monitoring
Online Access:https://www.mdpi.com/2072-4292/15/4/873

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