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

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

doi:10.1109/IGARSS52108.2023.10283354

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

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

^*Corresponding author for this work

Department of Geomatics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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
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	https://doi.org/10.1109/IGARSS52108.2023.10283354
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)
Volume	2023-July

Conference

Conference	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Country/Territory	United States
City	Pasadena
Period	16/07/23 → 21/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

Project ForestMap is supported under the umbrella of ERA-NET Cofund ForestValue by Swedish Governmental Agency for Innovation Systems, Swedish Energy Agency, The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Academy of Finland, and the Scientific and Technological Research Council of Turkey. ForestValue has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 773324.

Funders	Funder number
Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Academy of Finland
Horizon 2020 Framework Programme	773324
VINNOVA
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Energimyndigheten

Keywords

Artificial Intelligence
Forest
global
machine learning
map

Access to Document

10.1109/IGARSS52108.2023.10283354

Cite this

Fransson, J. E. S., Sertel, E., Unsalan, C., Salo, J., Holmstrom, A., Wallerman, J., & Nilsson, M. (2023). ForestMap: Mapping Forest Attributes Across the Globe - First Case Study. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3395-3397). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS52108.2023.10283354

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title = "ForestMap: Mapping Forest Attributes Across the Globe - First Case Study",

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.",

keywords = "Artificial Intelligence, Forest, global, machine learning, map",

author = "Fransson, \{Johan E.S.\} and Elif Sertel and Cem Unsalan and Jari Salo and Anton Holmstrom and Jorgen Wallerman and Mats Nilsson",

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year = "2023",

doi = "10.1109/IGARSS52108.2023.10283354",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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Fransson, JES, Sertel, E, Unsalan, C, Salo, J, Holmstrom, A, Wallerman, J & Nilsson, M 2023, ForestMap: Mapping Forest Attributes Across the Globe - First Case Study. in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2023-July, Institute of Electrical and Electronics Engineers Inc., pp. 3395-3397, 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, United States, 16/07/23. https://doi.org/10.1109/IGARSS52108.2023.10283354

ForestMap: Mapping Forest Attributes Across the Globe - First Case Study. / Fransson, Johan E.S.; Sertel, Elif; Unsalan, Cem et al.
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 3395-3397 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wallerman, Jorgen

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AB - 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.

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Fransson JES, Sertel E, Unsalan C, Salo J, Holmstrom A, Wallerman J et al. ForestMap: Mapping Forest Attributes Across the Globe - First Case Study. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 3395-3397. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS52108.2023.10283354

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

Abstract

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Bibliographical note

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Keywords

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