Rapid monitoring of global land change
Amy H. Pickens (),
Matthew C. Hansen,
Zhen Song,
Andrew Poulson,
Anna Komarova,
Antoine Baggett,
Theodore Kerr,
Aleksandra Mikus,
Carolina Ortiz Dominguez,
Alexandra Tyukavina and
André Lima
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Amy H. Pickens: University of Maryland
Matthew C. Hansen: University of Maryland
Zhen Song: University of Maryland
Andrew Poulson: University of Maryland
Anna Komarova: University of Maryland
Antoine Baggett: University of Maryland
Theodore Kerr: University of Maryland
Aleksandra Mikus: University of Maryland
Carolina Ortiz Dominguez: University of Maryland
Alexandra Tyukavina: University of Maryland
André Lima: University of Maryland
Nature Communications, 2025, vol. 16, issue 1, 1-14
Abstract:
Abstract Direct human action, principally land use expansion, and natural dynamics, such as fire and drought, drive global land change. Here we present a global land change monitoring system, DIST-ALERT, that rapidly tracks vegetation loss anomalies with 30 m resolution using imagery from Landsat 8/9 and Sentinel-2A/B/C satellites. The alerts capture agricultural expansion, urbanization, logging, mining, fire, drought, landslides, and other dynamics, but without attribution. Identified through a probability sample, 2023 anthropogenic land use conversions totaled 28.6 ± 7.6 Mha (±standard error), half of which replaced long-lived or secondary natural vegetation. Fires resulting in land cover conversion totaled 14.9 ± 4.3 Mha (±standard error). Combined, these dynamics equal 0.3% of the global land surface, equivalent to the area of the state of California. Annual DIST-ALERT summaries of land use expansion and climate-driven land change can serve as a future long-term global environmental data record.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64014-9
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DOI: 10.1038/s41467-025-64014-9
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