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dc.contributor.authorLeong, Kelvin
dc.contributor.authorSung, Anna
dc.date.accessioned2025-04-11T12:27:43Z
dc.date.available2025-04-11T12:27:43Z
dc.date.issued2025-04-03
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/629349/Earth%20Observation%20Data%20and%20AI%20Integration%20-%20Unveiling%20the%20Spatial%20Impact%20of%20Wildfire%20Pollution%20in%20Los%20Angeles.pdf?sequence=2
dc.identifier.citationLeong, K., & Sung, A. (2025). Earth observation data and AI integration: Unveiling the spatial impact of wildfire pollution in Los Angeles. Retrieved from: https://dataspace.copernicus.eu/cases/earth-observation-data-and-ai-integration-unveiling-spatial-impact-wildfire-pollution-losen_US
dc.identifier.urihttp://hdl.handle.net/10034/629349
dc.description.abstractEarth observation data contains vast amounts of valuable information that enhance comprehension of environmental changes and support informed decision-making regarding our planet. The Copernicus Browser is a powerful online platform designed to facilitate the visualisation and analysis of these data. Meanwhile, the advancement of artificial intelligence (AI) is transforming numerous fields. This case study presents a scenario demonstrating how AI can assist in the spatial analysis of imagery data related to wildfires in Los Angeles, obtained from the Copernicus Browser.en_US
dc.description.sponsorshipUnfundeden_US
dc.publisherThe Copernicus Data Space Ecosystemen_US
dc.relation.urlhttps://dataspace.copernicus.eu/cases/earth-observation-data-and-ai-integration-unveiling-spatial-impact-wildfire-pollution-losen_US
dc.subjectAIen_US
dc.subjectEarth Observation Dataen_US
dc.subjectEnvironmental managementen_US
dc.subjectSatellite dataen_US
dc.titleEarth observation data and AI integration: Unveiling the spatial impact of wildfire pollution in Los Angelesen_US
dc.typeOtheren_US
dc.contributor.departmentUniversity of Chesteren_US
dc.date.updated2025-04-11T08:06:34Z
dc.title.seriesCase study
dc.date.accepted2025-04-02
rioxxterms.identifier.projectn/aen_US
rioxxterms.versionVoRen_US
rioxxterms.licenseref.startdate2025-04-03
rioxxterms.typeOther
dc.date.deposited2025-04-11en_US


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