Towards scalable wide area UAS monitoring of forest disturbance using hydrogen powered airships

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
12
Authors
Turkulainen, Emma; Hietala, Janne; Jormakka, Jiri; Tuviala, Johanna; de Oliveira, Raquel Alves; Koivumaeki, Niko; Karila, Kirsi; Naesi, Roope; Suomalainen, Juha; Pelto-Arvo, Mikko; Lyytikaeinen-Saarenmaa, Paeivi; Honkavaara, Eija
Local authors
Author
Tuviala, Johanna
Author
Lyytikäinen-Saarenmaa, Päivi

Publication channel information

Title of journal/series
International journal of remote sensing
ISSN (print)
0143-1161
ISSN (electronic)
1366-5901
ISSN (linking)
0143-1161
Publication forum ID
58779
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2024
Bibliographical publication year
2025
Reporting year
2024
Journal/series volume number
46
Journal/series issue number
1
Page numbers
177-204
DOI
10.1080/01431161.2024.2399327
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
Yes

Availability

Classification and additional information

MinEdu field of science classification
4112 Forestry, 222 Other engineering and technologies
Keywords
Multispectral classification; Neural networks; transfer learning; forestry; forest disturbance; environmental monitoring; beyond visual line of sight

Funding information

Funding information in the publication
This work was supported by the European Commission under Grant 101078970; the Research Council of Finland under Grants 353263, 353264, 357380; the Ministry of Agriculture and Forestry of Finland under Grants VN/5292/2021, VN/3482/2021. This project received funding from the European Union - NextGenerationEU instrument. This study was affiliated to the Research Council of Finland Flagship Forest-Human-Machine Interplay-Building Resilience, Redefining Value Networks and Enabling Meaningful Experiences (UNITE) (Grant 357908).
Funders
Funder
European Union
Name of funding
-
Funding decision
-
Funder
Academy of Finland
Name of funding
-
Funding decision
-
Funder
Ministry of Agriculture and Forestry
Name of funding
-
Funding decision
-

Source database ID

WoS ID
WOS:001324154900001
Scopus ID
2-s2.0-85205343225