• Sorted by Date • Sorted by Last Name of First Author •
Sridhar, Venkataramana, Kumar, Kuruva Satish, Zobel, Christopher, Tyagi, Aditya, Keesara, Venkata Reddy, and Padmanabhan, Myoor, 2025. Land Use and Water Storage Dynamics in the Krishna River Basin: Insights from Satellite Observations and Machine Learning. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 1052:657–663, doi:10.5194/isprs-annals-X-5-W2-2025-657-2025.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025ISPAn1052..657S,
author = {{Sridhar}, Venkataramana and {Kumar}, Kuruva Satish and {Zobel}, Christopher and {Tyagi}, Aditya and {Keesara}, Venkata Reddy and {Padmanabhan}, Myoor},
title = "{Land Use and Water Storage Dynamics in the Krishna River Basin: Insights from Satellite Observations and Machine Learning}",
journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
year = 2025,
month = dec,
volume = {1052},
pages = {657-663},
abstract = "{Water scarcity and recurrent droughts threaten agricultural productivity
and water security in the semi-arid Krishna River Basin of
southern India. This study integrates satellite observations and
machine learning techniques to assess long-term terrestrial
water storage (TWS) and drought dynamics from 1992 to 2022. The
Extreme Gradient Boosting (XGBoost) algorithm was employed to
reconstruct GRACE-based Terrestrial Water Storage Anomalies
(TWSA) using precipitation, temperature, evapotranspiration, and
soil moisture as predictors. The reconstructed TWSA showed
strong consistency with GRACE/GRACE-FO data (R2 = 0.92, RMSE =
43.18 mm), extending the GRACE record to earlier decades. The
GRACE Drought Severity Index (GRACE-DSI), applied at a 3-month
scale, identified 15 major drought events during 1992â2022, with
the most severe occurring in 2015â2017 (minimum DSI =
{\ensuremath{-}}2.0) and 2018â2019 (minimum DSI =
{\ensuremath{-}}2.63). Droughts typically recurred every 5â7
years, showing increased intensity after 2010. Land use and land
cover (LULC) analysis from ESA-CCI data revealed declining
agricultural areas and shrublands, alongside expansion of
forests and urban land. Correlation between LULC changes and
TWSA was weak, indicating stronger climatic control on basin
water storage. The study underscores the value of fusing remote
sensing, statistical tools, and hydrological indices to support
better monitoring and governance of land and water systems in
drought-prone basins.}",
doi = {10.5194/isprs-annals-X-5-W2-2025-657-2025},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025ISPAn1052..657S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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