Examining low-intensity surface fires in boreal forests using sentinel-2 time series and bitemporal terrestrial laser scanning
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
Publication channel information
Title of journal/series
Scandinavian journal of forest research
ISSN (print)
0282-7581
ISSN (electronic)
1651-1891
ISSN (linking)
0282-7581
Publication forum ID
66785
Publication forum level
1
Internationality
Yes
Detailed publication information
Publication year
2025
Reporting year
2025
Journal/series volume number
40
Journal/series issue number
1
Page numbers
29-40
DOI
10.1080/02827581.2025.2457469
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Classification and additional information
MinEdu field of science classification
4112 Forestry
Keywords
Burn severity; controlled burning; dNBR; NBR; multispectral remote sensing; TLS
Funding information
Funding information in the publication
This work was funded by the Research Council of Finland and European Union (NextGenerationEU) through the project "Capturing structural and functional diversity of trees and tree communities for supporting sustainable use of forests" (Diversity4Forests, 348643), as well as by the Flagship project "Forest-human-machine interplay - building resilience, redefining value networks and enabling meaningful experiences" (UNITE, 357906). Work on EODIE was supported by the project 316096/320075. Part of the work has also been done under the umbrella of the Research Council of Finland's flagship project UNITE (337656). Ms. Wittke acknowledges the PhD grant from Aalto School of Engineering. The authors wish to thank CSC - IT Center for Science, Finland (urn:nbn:fi:research-infras- 2016072531) and the Open Geospatial Information Infrastructure for Research (Geoportti, urn:nbn:fi:research-infras-2016072513) for computational resources and support.
Source database ID
WoS ID
WOS:001405084000001
Scopus ID
2-s2.0-105002580094