@prefix this: . @prefix sub: . @prefix np: . @prefix rdf: . @prefix prov: . @prefix npx: . @prefix dc: . @prefix xsd: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { sub:bmz-eo-water-outcome a ; "2026-06-20"^^xsd:date; "BioImage.IO model delineates EO open water within ~30% of NDWI across five scenes"; "A nucleus-segmentation model from the BioImage Model Zoo, trained only on fluorescence microscopy and applied without retraining through the unchanged Galaxy BioImage.IO workflow, successfully delineates open-water bodies in Landsat imagery of an Arctic thermokarst-pond landscape. Across five peak-summer scenes (2000–2020) the model's total water area stays within about 30 percent of the standard NDWI index (2020: 221 vs 211 km², within ~5 percent), demonstrating that the bioimaging \"many bright blobs\" segmentation behaviour transfers to remote-sensing water mapping. Galaxy and a local TorchScript reimplementation give byte-identical masks."; ; """Alaska Arctic Coastal Plain, peak-summer Landsat C2 L2 composites, run on usegalaxy.eu. BMZ water area vs NDWI water area (km², ratio): 2000 = 198 vs 266 (0.74×); 2005 = 223 vs 187 (1.19×); 2010 = 201 vs 240 (0.84×); 2015 = 170 vs 187 (0.91×); 2020 = 221 vs 211 (1.05×). Distinct water-body (\"pond\") counts: 135–200. Galaxy-vs-local parity on the 2020 scene: mask IoU = 1.000 with identical area and pond count. Public Galaxy history (tool versions, parameters, datasets) and per-scene invocation IDs are recorded in results/galaxy_provenance.json; figures in figures/main_result.png and figures/robustness.png. Github: https://github.com/annefou/fiesta-galaxy-bioimageio-eo"""; "Scene-to-scene agreement varies (0.74–1.19× of NDWI), driven by annual-composite quality — residual cloud, snow/ice timing and radiometric differences — not by real change in the landscape; this is explicitly NOT a temporal or climate trend. NDWI is itself an index proxy, not ground truth, so the comparison establishes consistency between two automated methods rather than absolute accuracy. The study covers a single thermokarst region, one model, optical peak-summer imagery only, with no retraining and no instance-level validation. The result demonstrates cross-discipline transferability of the Galaxy bioimaging workflow, not a calibrated operational water-mapping product."; ; ; . } sub:provenance { sub:assertion prov:wasAttributedTo . } sub:pubinfo { "Anne Fouilloux" . this: dc:created "2026-06-21T09:28:27.312Z"^^xsd:dateTime; dc:creator ; dc:license ; npx:introduces sub:bmz-eo-water-outcome; npx:wasCreatedAt ; "BioImage.IO model delineates EO open water within ~30% of NDWI across five scenes"; . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEAoDcOiD+jen8awiJ6DB2ewDw66PeG64hODmgNFwy7GrwQui4HKnHdvxd++1UhTgiOfycxyxBb7sXPSikLw/1TsSyPsEl0P3/+600szxpTGgLNzW+bZ2DVP3d8ERMV1aWpH0ci3B/5vmK+vXQZ4uCoq57NE0MiFg5c13Gy0gd6n7wZYEhYM4AjWSLL0QS/HY+TFZMYL9bCFeATennGrlB2UEjRlw21UB2Ah16ZZ6hxQlfctFJZE7TGnBJPB3ttTjfcOfamhjZVwQ0yV9mv7x6PGiSmkzpJTVLjn8hagoKT05YUwVQArFb+w7f6sXqvvljMigjd/Rbqgbye/lLUAZLfJSnFM58TubfpEJvXV4zNMDEoT3VQ7dokgoLgMrmjZCKATtQ7gomocoTJ1NhN2esRNtGzWaS2obL/mueUQlMlavssZnqL8WICkdAuDlwDVNbsbwEWKQ50kiPdAdduSigifxA4CM7TgvnxqZVoAResEGP6UhTTem3T4CsbEas1Caj9wa7M1jPjACu5LF5BwcVns3ZQHWLipjRjD+9/ur3G8QtuxbNhmXlDYQ6tXxB1lK+Oz7O519b3bA15ilzFl0SdvMBGTe46xaQ9DsJT18THKnPbUhNMy0dH0VtzpB+EEaXZ25Fp9VHMEUqo1lLS9e89eO3efiqkESKQ7wmB+/DlIRcCAwEAAQ=="; npx:hasSignature "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"; npx:hasSignatureTarget this:; npx:signedBy . }