The wetland is now mapping itself across borders
the wetland is now mapping itself across borders: swamp-eye learns from annotated wetlands worldwide to watch extent change, a random forest reproduces global wetland history at 0.89 correlation, and calterra monitors restored peatlands with a new scottish grant.
the marsh now tracks its own recovery.
Context
A Scientific Reports paper from Feb 13, 2026 presents Swamp-AI, a deep learning model for monitoring wetland extent change across the globe, aimed at remote wetlands where remote sensing is often the only feasible method. New Gradient describes deep learning erosion mapping and digital MRV for Scottish peatland restoration with Caledonian Climate Partners.
That peatland page notes peatlands store about twice as much carbon as all the world's forests combined.
The model appears in the sources as Swamp-AI, not 'swamp-eye'. The 0.89 correlation random forest and the Calterra grant were not seen in the excerpts read, so unsupported here, not refuted.
'the marsh now tracks its own recovery' is the author's opinion.
Related work
- Scientific Reports: Swamp-AI ↗Primary paper.
- PMC: Swamp-AI full text ↗Open-access text.
- New Gradient: AI peatland restoration and carbon MRV ↗Peatland monitoring.
Watch next
- Look for the Calterra grant announcement.
Sources
- Scientific Reports, Feb 13, 2026nature.com
- PubMed record, Feb 13, 2026pubmed.ncbi.nlm.nih.gov
- New Gradient case studynewgradient.com
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 3 October 2026 at 09:55 IST. Sources are the papers and datasets the note draws on.
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