An automated Google Earth Engine application for detecting the impacted area of treeless boreal peatland restoration – A tool for practitioners and decision-makers

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
8
Authors
Isoaho, Aleksi; Pitkänen, Timo P.; Ikkala, Lauri; Sallinen, Antti; Rana, Parvez; Marttila, Hannu; Päkkilä, Lassi; Räsänen, Aleksi

Publication channel information

Title of journal/series
Remote sensing applications
ISSN (electronic)
2352-9385
ISSN (linking)
2352-9385
Publisher
Elsevier
Publication forum ID
89994
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2025
Bibliographical publication year
2026
Reporting year
2025
Journal/series volume number
41
Page numbers
101836
DOI
10.1016/j.rsase.2025.101836
Language of publication
English

Co-publication information

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

Availability

Classification and additional information

MinEdu field of science classification
1172 Environmental sciences
Keywords
Remote sensing; Change detection; Sentinel-2; Landsat; Peatland; Hydrology; Monitoring

Funding information

Funding information in the publication
This study was funded by the Ministry of Environment, Finland (VN/14352/2022) and European Union LIFE programme (LIFE22-IPN-FI-Priodiversity LIFE).
Funders
Funder
European Union
Name of funding
LIFE programme
Funding decision
LIFE22-IPN-FI-Priodiversity LIFE
Funder
Ministry of the Environment
Name of funding
-
Funding decision
VN/14352/2022

Research data information

Research data information in the publication
Data will be made available on request.

Infrastructure information

Infrastructure information in the publication
Application can be found at: https://aleksiisoaho.users.earthengine.app/view/optical-satellite-before-after-visualisation

Source database ID

WoS ID
WOS:001645819300001
Scopus ID
2-s2.0-105025021266