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New 30-meter global map of irrigated areas released using machine learning

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new global map of irrigated areas, named GMIA-NEXT, utilizing machine learning and Earth observation data. This dataset provides a medium-resolution (30-meter) view of irrigation patterns for the 2023/24 growing season, addressing limitations of previous coarse-resolution or less robust datasets. The project integrates ground-truth points, vegetation metrics from Landsat imagery, and various environmental variables to create a more detailed understanding of global irrigation. AI

IMPACT Provides enhanced data for food security and climate adaptation research, enabling more precise analysis of water use.

RANK_REASON The cluster describes the release of a new dataset and associated paper detailing a global map of irrigated areas, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 30-meter global map of irrigated areas released using machine learning

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The cluster describes the release of a new dataset and associated paper detailing a global map of irrigated areas, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    GMIA-NEXT - Next-Generation Global Map of Irrigated Areas | -- https:// doi.org/10.21203/rs.3.rs-10085 674/v1 <-- shared paper -- https:// zenodo.org/records/17

    GMIA-NEXT - Next-Generation Global Map of Irrigated Areas | -- https:// doi.org/10.21203/rs.3.rs-10085 674/v1 <-- shared paper -- https:// zenodo.org/records/17627111 <-- shared open data -- H/T @ kyle Davis “Irrigation plays a critical role in global food production and climate …

    LINKS researchsquare.com/…/v1 zenodo.org/…/17627111

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