Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data

Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data

Reliable information about the extent of irrigated areas is critical for water resources management in agricultural regions facing mounting water scarcity challenges due to climate variability and change, extreme events, and increased competition over limited water resources. To this end, we introdu...

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Bibliographic Details
Main Authors: Muhammad Umar Akbar, Ali Mirchi, Arfan Arshad, Sara Alian, Mukesh Mehata, Saleh Taghvaeian, Kasra Khodkar, Jacob Kettner, Sumon Datta, Kevin Wagner
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Agricultural Water Management
Subjects:
Irrigation expansion
High-fidelity mapping
Machine learning classifiers
Vegetation indices
Agricultural water availability
Water scarcity
Online Access:http://www.sciencedirect.com/science/article/pii/S0378377425001301
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