GMIA-NEXT: Next-Generation Global Map of Irrigated Areas

作者：Asfaw Kebede, Yanhua Xie, Gabriel Laboy, Kevin Bhimani, Anna Boser, Anton Urfels, Bhoktear Khan, Matthew Adepoju, Oluseun Adeluyi, Kate A. Brauman, Stefano Casirati, Sunita Chandrasekaran, Jillian M. Deines, Rafaela Flach, Matthew C. Hansen, Sarah Hartman, Estéban G. Jobbágy, Ahmad Khan, Vasavi Kurapati, Tyler J. Lark, Jack Marquez, Holly A. Michael, Catherine Nakalembe, Kristie Ng, Kin Wai Ng, Soheil Nozari, Peter Potapov, Lorenzo Rosa, Stefan Siebert, Ryan Smith, Michela Taufer, Kyle Frankel Davis · 发表于：Socio-Environmental Systems Modeling · 年份：2026 · DOI：10.5281/zenodo.17627110 · 研究领域：Environmental science、Remote sensing、Geography、Water resource management、Computer science、Cartography

GMIA-NEXT is a medium-resolution (30 m) global irrigation dataset that maps irrigated croplands for the 2023–2024 growing season. The dataset includes both irrigation probability and binary irrigation maps derived from multi-source Earth observation and environmental datasets using machine learning techniques. The associated ground-truth data used for model development and validation are available in a separate repository (https://doi.org/10.5281/zenodo.20732681 ).