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

^*Bu çalışma için yazışmadan sorumlu yazar

Geomatik Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	3395-3397
Sayfa sayısı	3
ISBN (Elektronik)	9798350320107
DOI'lar	https://doi.org/10.1109/IGARSS52108.2023.10283354
Yayın durumu	Yayınlandı - 2023
Etkinlik	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Süre: 16 Tem 2023 → 21 Tem 2023

Yayın serisi

Adı	International Geoscience and Remote Sensing Symposium (IGARSS)
Hacim	2023-July

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Ülke/Bölge	United States
Şehir	Pasadena
Periyot	16/07/23 → 21/07/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

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.

Finansörler	Finansör numarası
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

Belgeye Erişim

10.1109/IGARSS52108.2023.10283354

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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); Hac. 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",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10283354",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3395--3397",

booktitle = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

address = "United States",

}

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), hac. 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); Hac. 2023-July).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - ForestMap

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023

AU - Fransson, Johan E.S.

AU - Sertel, Elif

AU - Unsalan, Cem

AU - Salo, Jari

AU - Holmstrom, Anton

AU - Wallerman, Jorgen

AU - Nilsson, Mats

PY - 2023

Y1 - 2023

N2 - 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.

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.

KW - Artificial Intelligence

KW - Forest

KW - global

KW - machine learning

KW - map

UR - http://www.scopus.com/inward/record.url?scp=85178005515&partnerID=8YFLogxK

U2 - 10.1109/IGARSS52108.2023.10283354

DO - 10.1109/IGARSS52108.2023.10283354

M3 - Conference contribution

AN - SCOPUS:85178005515

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3395

EP - 3397

BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 July 2023 through 21 July 2023

ER -

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap