ForestMap: Mapping Forest Attributes Across the Globe - First Case Study

Fransson J. E., Sertel E., ÜNSALAN C., Salo J., Holmstrom A., Wallerman J., ...More

2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, California, United States Of America, 16 - 21 July 2023, vol.2023-July, pp.3395-3397, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2023-July
  • Doi Number: 10.1109/igarss52108.2023.10283354
  • City: California
  • Country: United States Of America
  • Page Numbers: pp.3395-3397
  • Keywords: Artificial Intelligence, Forest, global, machine learning, map
  • Marmara University Affiliated: Yes

Abstract

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.