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April 12, 2026International Journal of Plant & Soil ScienceOpen Access

Integrated Remote Sensing and GIS for Decision-oriented Climate-resilient Management of Groundwater-irrigated Cropping Systems: A Review

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Authors

KKKarmnath KumarShree Guru Gobind Singh Tricentenary UniversitySDSucheta DahiyaShree Guru Gobind Singh Tricentenary UniversityAPAdarsh PandeyShree Guru Gobind Singh Tricentenary University

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Overview

This review examines integrated approaches to manage groundwater resources for irrigation, highlighting their importance amidst climate variability.

Key Points

  • The review aims to synthesize recent advances in integrating remote sensing and GIS for sustainable groundwater management in agriculture.
  • Reviewed academic literature on RS and GIS applications in groundwater management.
  • Evaluated satellite-derived indicators for assessing water resources.
  • Discussed machine learning and hydrological modeling techniques in irrigation management.
  • Categorized existing frameworks for groundwater mapping and decision-making.
  • Highlighted the effectiveness of satellite-derived indicators in improving water resource assessments.
  • Identified emerging approaches that enhance predictive irrigation management.
  • Shed light on the challenges of data limitations and model uncertainties in groundwater management.

Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/69db35be4fe01fead37c440chttps://doi.org/10.9734/ijpss/2026/v38i46036
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Also Consider

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  1. 1Remote Sensing for Irrigation Water Management Under Climate Change: Advances, Challenges, and Future Directions2026
  2. 2The Application of Remote Sensing to Improve Irrigation Accounting Systems: A Review2025
  3. 3Remote Sensing for Irrigation Water Management—The State of the Art and Prospects for Near‐Future Operations2026
  4. 4Beyond Hydrochemical Indices: Integrating GIS–AI Decision Frameworks to Irrigation Water Quality for Climate‐Resilient Soil–Water–Crop Systems and Sustainable Drainage2026
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