https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/Head https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://www.nanopub.org/nschema#hasAssertion https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/assertion https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://www.nanopub.org/nschema#hasProvenance https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/provenance https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/pubinfo https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/assertion https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/sciencelive/o/terms/FORRT-Replication-Study https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/sciencelive/o/terms/Replication-Study https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/2000/01/rdf-schema#label Testing few-shot land cover classification on Sentinel-2 satellite imagery https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/2004/02/skos/core#related http://www.wikidata.org/entity/Q110797734 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/2004/02/skos/core#related http://www.wikidata.org/entity/Q199687 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/2004/02/skos/core#related http://www.wikidata.org/entity/Q3001793 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 http://www.w3.org/2004/02/skos/core#related http://www.wikidata.org/entity/Q4302480 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 https://w3id.org/sciencelive/o/terms/hasDeviationDescription The original paper tested on mini-ImageNet, a benchmark of 100 everyday object categories (dogs, cars, furniture) photographed with regular cameras. We replace this with Sentinel-2 satellite imagery — a fundamentally different visual domain with overhead perspective, multispectral sensors, and land cover semantics instead of object recognition. We also use a within-domain split (common vs. rare land cover from the same dataset) rather than the original same-domain setup, and we use only the RGB bands (3 out of 13 available Sentinel-2 bands). https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 https://w3id.org/sciencelive/o/terms/hasDiscipline http://www.wikidata.org/entity/Q21198 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 https://w3id.org/sciencelive/o/terms/hasMethodologyDescription We use the EuroSAT dataset containing 27,000 real Sentinel-2 satellite image patches covering 10 land cover types across Europe. We split these into 7 common types (forest, cropland, urban, etc.) used for training, and 3 types (herbaceous vegetation, permanent crop, river) held back as "rare" classes. The model learns from the common types, then must classify the rare types using only 1, 5, or 20 labeled examples. We evaluate over 600 random classification tasks and report mean accuracy with 95% confidence intervals. https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 https://w3id.org/sciencelive/o/terms/hasScopeDescription We test whether Prototypical Networks — an AI method designed to learn new categories from very few examples — works for classifying land cover types in real satellite imagery. The original method was only tested on everyday photographs (animals, objects, vehicles). We apply it to Sentinel-2 Earth observation data. https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 https://w3id.org/sciencelive/o/terms/targetsClaim https://w3id.org/np/RAPEj_VkTBh17NfklyuB0klzxobwyp2dsx6vJRByVs148/few-shot-sentinel2 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/provenance https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-1784-2920 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/pubinfo https://orcid.org/0000-0002-1784-2920 http://xmlns.com/foaf/0.1/name Anne Fouilloux https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://purl.org/dc/terms/created 2026-04-17T12:43:55.738Z https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://purl.org/dc/terms/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://purl.org/nanopub/x/introduces https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/few-shot-sentinel-2 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://purl.org/nanopub/x/wasCreatedAt https://platform.sciencelive4all.org https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc http://www.w3.org/2000/01/rdf-schema#label NP created using Declaring a replication study design according to FORRT https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate https://w3id.org/np/RAuLEjPp-4dTvPwMkfHggTto1CgjIftiGRAgHlyeEonjQ https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/sig http://purl.org/nanopub/x/hasPublicKey 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 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/sig http://purl.org/nanopub/x/hasSignature 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 https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc https://w3id.org/sciencelive/np/RALGj6JatoumnOiiTUie18OUEVGpeAKuhvUkLpAa2Wjjc/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0000-0002-1784-2920