1 Ocak 2023 Konferans bildirisi Açık Erişim

Fransson, Johan E. S.; Sertel, Elif; Unsalan, Cem; Salo, Jari; Holmstrom, Anton; Wallerman, Jorgen; Nilsson, Mats

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        "affiliation": "Linnaeus Univ, Vaxjo, Sweden", 
        "name": "Fransson, Johan E. S."
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      {
        "affiliation": "Istanbul Tech Univ, Istanbul, Turkiye", 
        "name": "Sertel, Elif"
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      {
        "affiliation": "Marmara Univ, Istanbul, Turkiye", 
        "name": "Unsalan, Cem"
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      {
        "affiliation": "Univ Helsinki, Helsinki, Finland", 
        "name": "Salo, Jari"
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      {
        "affiliation": "Katam Technol, Lund, Sweden", 
        "name": "Holmstrom, Anton"
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        "affiliation": "Swedish Univ Agr Sci, Uppsala, Sweden", 
        "name": "Wallerman, Jorgen"
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        "affiliation": "Swedish Univ Agr Sci, Uppsala, Sweden", 
        "name": "Nilsson, Mats"
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    "description": "<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>", 
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      "title": "IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM"
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    "title": "FORESTMAP: MAPPING FOREST ATTRIBUTES ACROSS THE GLOBE - FIRST CASE STUDY"
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