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Fransson, Johan E. S.; Sertel, Elif; Unsalan, Cem; Salo, Jari; Holmstrom, Anton; Wallerman, Jorgen; Nilsson, Mats
{ "DOI": "10.1109/IGARSS52108.2023.10283354", "abstract": "<p>This paper presents the project ForestMap - a project aiming to develop and distribute new methods, which provide the benefits of accurate forest maps to a global audience. Using the recent developments in remote sensing, machine learning, and Artificial Intelligence (AI) the goal is to export the Scandinavian success stories to a wide range of stakeholders in the world.</p>", "author": [ { "family": "Fransson", "given": " Johan E. S." }, { "family": "Sertel", "given": " Elif" }, { "family": "Unsalan", "given": " Cem" }, { "family": "Salo", "given": " Jari" }, { "family": "Holmstrom", "given": " Anton" }, { "family": "Wallerman", "given": " Jorgen" }, { "family": "Nilsson", "given": " Mats" } ], "id": "266980", "issued": { "date-parts": [ [ 2023, 1, 1 ] ] }, "title": "FORESTMAP: MAPPING FOREST ATTRIBUTES ACROSS THE GLOBE - FIRST CASE STUDY", "type": "paper-conference" }
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