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.
Original language | English |
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Title of host publication | IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3395-3397 |
Number of pages | 3 |
ISBN (Electronic) | 9798350320107 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 |
Publication series
Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
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Volume | 2023-July |
Conference
Conference | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 |
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Country/Territory | United States |
City | Pasadena |
Period | 16/07/23 → 21/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Artificial Intelligence
- Forest
- global
- machine learning
- map