1 Ocak 2023 Konferans bildirisi Açık Erişim

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

Citation Style Language JSON

{
  "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"
}