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ForestMap: Mapping Forest Attributes Across the Globe - First Case Study
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology. (DISA;DISA-WBT)ORCID iD: 0000-0002-7913-8592
Istanbul Technical University, Türkiye.
Marmara University, Türkiye.
University of Helsinki, Finland.
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2023 (English)In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IEEE, 2023, p. 3395-3397Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE, 2023. p. 3395-3397
Series
IEEE International Geoscience and Remote Sensing Symposium proceedings, ISSN 2153-6996, E-ISSN 2153-7003
National Category
Forest Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-126401DOI: 10.1109/igarss52108.2023.10283354Scopus ID: 2-s2.0-85178005515ISBN: 9798350320107 (electronic)ISBN: 9798350331745 (print)ISBN: 9798350320091 (print)OAI: oai:DiVA.org:lnu-126401DiVA, id: diva2:1826483
Conference
IGARSS 2023, 16-21 July 2023, Pasadena, CA, USA
Available from: 2024-01-11 Created: 2024-01-11 Last updated: 2024-05-06Bibliographically approved

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Fransson, Johan

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Citation style
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  • nn-NB
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Output format
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