https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/Head https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/assertion https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/provenance https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/pubinfo https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/assertion https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/audience Multi-source EO datasets requiring integration for AI/ML applications https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/description Can DGGS provide an AI-ready spatial framework that eliminates the need for costly harmonization? https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/relation Traditional harmonization workflows (reprojection, resampling, vector-raster conversion) https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/subject DGGS-based spatial indexing as a harmonization framework https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/title DGGS as an AI-Ready Framework for Multi-Source Earth Observation Data Integration https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://purl.org/dc/terms/type https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/effectiveness https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://schema.org/expectedResult Preprocessing time/cost, data alignment accuracy, AI model performance, reproducibility across research groups https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ/research-question http://www.w3.org/2000/01/rdf-schema#comment Multi-source Earth observation data cannot be directly fed to AI algorithms without costly spatial harmonization — including reprojection, resampling, and vector-raster conversion. This preprocessing bottleneck limits the scalability and reproducibility of machine learning workflows in EO. DGGS offers a potential solution by providing a standardized spatial index where heterogeneous datasets become directly associable via zone IDs, potentially eliminating traditional harmonization steps. However, no systematic synthesis exists evaluating DGGS effectiveness specifically for AI-ready data preparation. This review will assess whether DGGS can serve as a scalable, interoperable framework that enables direct ingestion of multi-source EO data into AI pipelines. https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/provenance https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-1784-2920 https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/pubinfo https://orcid.org/0000-0002-1784-2920 http://xmlns.com/foaf/0.1/name Anne Fouilloux https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://purl.org/dc/terms/created 2026-01-25T09:24:13.269Z https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://purl.org/dc/terms/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://purl.org/dc/terms/license https://creativecommons.org/licenses/by/4.0/ https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://purl.org/nanopub/x/wasCreatedAt https://nanodash.knowledgepixels.com/ https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM http://www.w3.org/2000/01/rdf-schema#label PICO Research Question: DGGS as an AI-Ready Framework for Multi-Source Earth Observation Data Integration https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate https://w3id.org/np/RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate https://w3id.org/np/RAfZfE1gbUtc35W7xT12XTO0ptZwycN2-jj7Jow6COAoQ https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/sig http://purl.org/nanopub/x/hasPublicKey MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDWv2pJnmDsBOq8OlT1aSvYXSuWT34WOp4FYqEzdnn2F0kqzcFevBqWGZDxJWC0lqCrDEuNfp2QFyPe/+nES9dlHGYIhqPi68fwK6ZiNUotRFxXou+rjFznVvUxtCL8Ede79EBHwWN61QtwSIcU12bLoZsNPFlqQASQ93BJuKlihwIDAQAB https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/sig http://purl.org/nanopub/x/hasSignature tkFXjfc0VSB8gfvQ7a30qSMaHyAvJU5d/CloirG8k4gfDCvDPxQC7Tw4iTp6oB6ZRcp2X9y6hKD1HSzb9FyEdRnJgDIbzNxRKfjQNtd3XocEkAZE4fkgXttfNqa1xKtRFoJUhaBUPBUSAvmR/tLQGVvw/KrOQYpMY0LnDoxLOcQ= https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM https://w3id.org/np/RA3Wt6jY7rpChWyGpQaqC0u1t44i4Bhd3PDIsyyA9uyOM/sig http://purl.org/nanopub/x/signedBy https://orcid.org/0000-0002-1784-2920