@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix orcid: <https://orcid.org/> .
@prefix pico: <http://data.cochrane.org/ontologies/pico/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sciencelive: <https://w3id.org/sciencelive/o/terms/> .
@prefix sub1: <https://w3id.org/np/RAspTV2CJNTo2NQBM4kdakR6PtD2idmk7Oui3HjGzQvTY/> .
@prefix this: <https://w3id.org/np/RAspTV2CJNTo2NQBM4kdakR6PtD2idmk7Oui3HjGzQvTY> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
sub1:Head {
   this: np:hasAssertion sub1:assertion ;
    np:hasProvenance sub1:provenance ;
    np:hasPublicationInfo sub1:pubinfo ;
    a np:Nanopublication .
}
sub1:assertion {
   sub1:comparatorGroup dcterms:description "Different epsilon (ε) values ranging from 0.1 (strong privacy) to 10 (weak privacy); spatial vs. temporal vs. combined noise addition strategies; different noise mechanisms; unprotected release baseline; traditional resolution-limited release without formal guarantees" .
  sub1:differential-privacy-for-satellite-derived-climate pico:comparatorGroup sub1:comparatorGroup ;
    pico:interventionGroup sub1:interventionGroup ;
    pico:outcomeGroup sub1:outcomeGroup ;
    pico:population sub1:population ;
    dcterms:description "For satellite-derived climate data products at fine spatial resolution, how do differential privacy mechanisms at various epsilon levels affect the scientific utility for detecting climate trends, anomalies, and extreme events while providing formal privacy guarantees?" ;
    a pico:PICO , sciencelive:EffectivenessResearchQuestions ;
    rdfs:label "Differential Privacy for Satellite-Derived Climate Data Products: A Scoping Review" .
  sub1:interventionGroup dcterms:description "Differential privacy mechanisms applied to climate data products before public release, including spatial noise addition (Laplace, Gaussian), temporal perturbation, resolution coarsening with privacy guarantees, and synthetic climate data generation with formal privacy bounds" .
  sub1:outcomeGroup dcterms:description "Scientific utility for climate applications (trend detection accuracy, anomaly identification, extreme event detection), formal privacy guarantee strength, downstream model performance (crop yield models, hydrological simulations, energy demand forecasting), spatial and temporal correlation preservation, and practical feasibility for operational climate services" .
  sub1:population dcterms:description "Gridded climate and environmental data products derived from satellite observations at fine spatial and temporal resolution, including land surface temperature, precipitation estimates, vegetation indices (NDVI, EVI), soil moisture, snow cover, atmospheric composition, and derived climate indicators used in research, agriculture, water management, and infrastructure planning" .
}
sub1:provenance {
   sub1:assertion prov:wasAttributedTo orcid:0000-0002-1784-2920 .
}
sub1:pubinfo {
   orcid:0000-0002-1784-2920 foaf:name "Anne Fouilloux" .
  this: dcterms:created "2026-01-04T21:18:47.000Z"^^xsd:dateTime ;
    dcterms:creator orcid:0000-0002-1784-2920 ;
    dcterms:license <https://creativecommons.org/licenses/by/4.0/> ;
    npx:introduces sub1:differential-privacy-for-satellite-derived-climate ;
    npx:wasCreatedAt <https://nanodash.knowledgepixels.com/> ;
    rdfs:label "PICO Research Question: Differential Privacy for Satellite-Derived Climate Data Products: A Scopi..." ;
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