Network for novel remote sensing technologies in forest disturbance ecology

Project Information

RESDINET

Grant agreement ID: 101078970

DOI

10.3030/101078970

Project closed

EC signature date 30 August 2022

Start date 1 January 2023

End date 31 December 2025

Funded under

• Widening participation and spreading excellence

Total cost

€ 1 537 505,00

EU contribution

€ 1 495 880,00

Coordinated by

USTAV EKOLOGIE LESA SAV, V. V. I.
Slovakia

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (2)

Brochure, First Public Media publication, and popular science video
Social media publications, RESDINET web site, and RESDINET newsletter (first issue)

Social media publications, RESDINET web site, and RESDINET newsletter (first issue)

Documents, reports (3)

Report from workshop I and II
Interim progress report

The Interim report will be prepared and submitted

Communication strategy / Plan for dissemination and exploitation

Publications

Peer reviewed articles (6)

Spectral signatures discrimination of Norway spruce trees under experimentally induced drought and acute thermal stress using hyperspectral imaging

Author(s): Matúš Pivovar, Roope Näsi, Eija Honkavaara, Miroslav Blaženec, Jaroslav Škvarenina, Roman Modlinger, Jaroslav Rožnovský, Rastislav Jakuš
Published in: Forest Ecology and Management, Issue 586, 2025, ISSN 0378-1127
Publisher: Elsevier BV
DOI: 10.1016/J.FORECO.2025.122692

Sensitivity analysis of the Green Shoulder indices in pre-emergence detection of single trees attacked by European spruce bark beetle

Author(s): Langning Huo, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Published in: International Journal of Remote Sensing, Issue 46, 2025, ISSN 0143-1161
Publisher: Informa UK Limited
DOI: 10.1080/01431161.2025.2482747

Multispectral drone images for the early detection of bark beetle infestations: assessment over large forest areas in the Italian South-Eastern Alps

Author(s): Bozzini, Aurora; Huo, Langning; Brugnaro, Stefano; Morgante, Giuseppe; Persson, Henrik Jan; Finozzi, Valerio; Battisti, Andrea; Faccoli, Massimo
Published in: Frontiers in Forests and Global Change, 2025, ISSN 2624-893X
Publisher: frontiers
DOI: 10.3389/FFGC.2025.1532954

International Journal for Remote Sensing

Author(s): Huo, Langning
Published in: Sensitivity analysis of the Green Shoulder indices in pre-emergence detection of single trees attacked by European spruce bark beetle, 2025, ISSN 0143-1161
Publisher: Taylor & Francis
DOI: 10.1080/01431161.2025.2482747

Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline

Author(s): Huo, Langning
Published in: ISPRS Journal of Photogrammetry and Remote Sensing, 2024, ISSN 1872-8235
Publisher: ELSEVIER
DOI: 10.1016/J.ISPRSJPRS.2024.07.027

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

Author(s): Emma Turkulainen, Janne Hietala, Jiri Jormakka, Johanna Tuviala, Raquel Alves de Oliveira, Niko Koivumäki, Kirsi Karila, Roope Näsi, Juha Suomalainen, Mikko Pelto-Arvo, Päivi Lyytikäinen-Saarenmaa, Eija Honkavaara
Published in: International Journal of Remote Sensing, Issue 46, 2025, ISSN 0143-1161
Publisher: Informa UK Limited
DOI: 10.1080/01431161.2024.2399327

Conference proceedings (5)

Carotenoids increase as an indicator of early stress of trees: estimations using Green Shoulder Indices from hyperspectral drone data and radiative transfer model PROSAIL

Author(s): Langning Huo, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Published in: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Publisher: IEEE
DOI: 10.1109/IGARSS55030.2025.11242690

Hyperspectral drone images indicate that green shoulder indices are robust in pre-emergence detection of spruce bark beetle infestation across spatial and temporal scales

Author(s): Luiz Henrique Elias Cosimo, Eva Lindberg, Henrik Persson, Jonas Bohlin, Langning Huo
Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLVIII-2/W11-2025, 2025, ISSN 2194-9034
Publisher: Copernicus GmbH
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-2-W11-2025-73-2025

A Multiview UAV Imagery-Based Method for Assessing Spruce Tree Health at the Individual Tree Level

Author(s): Alva Anttonen, Axel Päivänsalo, Emma Turkulainen, Raquel Alves Oliveira, Kirsi Karila, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLVIII-2/W11-2025, 2025, ISSN 2194-9034
Publisher: Copernicus GmbH
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-2-W11-2025-13-2025

Large-Area UAS-Based Forest Health Monitoring Utilizing a Hydrogen-Powered Airship and Multispectral Imaging

Author(s): E. Turkulainen; J. Hietala; J. Jormakka; J. Tuviala; R. A. de Oliveira; N. Koivumäki; K. Karila; R. Näsi; J. Suomalainen; M. Pelto-Arvo; P. Lyytikäinen-Saarenmaa; E. Honkavaara
Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2024, ISSN 1872-8235
Publisher: ISPRS
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-3-2024-559-2024

Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data

Author(s): Emma Turkulainen, Raquel Alves Oliveira, Niko Koivumäki, Päivi Lyytikäinen-Saarenmaa, Roope Näsi, Mikko Pelto-Arvo, Johanna Tuviala, Eija Honkavaara
Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLVIII-2/W11-2025, 2025, ISSN 2194-9034
Publisher: Copernicus GmbH
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-2-W11-2025-285-2025