Network for novel remote sensing technologies in forest disturbance ecology

Informazioni relative al progetto

RESDINET

ID dell’accordo di sovvenzione: 101078970

DOI

10.3030/101078970

Progetto chiuso

Data della firma CE 30 Agosto 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 1 537 505,00

Contributo UE

€ 1 495 880,00

Coordinato da

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (6)

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

Autori: Matúš Pivovar, Roope Näsi, Eija Honkavaara, Miroslav Blaženec, Jaroslav Škvarenina, Roman Modlinger, Jaroslav Rožnovský, Rastislav Jakuš
Pubblicato in: Forest Ecology and Management, Numero 586, 2025, ISSN 0378-1127
Editore: 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

Autori: Langning Huo, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Pubblicato in: International Journal of Remote Sensing, Numero 46, 2025, ISSN 0143-1161
Editore: 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

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

International Journal for Remote Sensing

Autori: Huo, Langning
Pubblicato 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
Editore: 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

Autori: Huo, Langning
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, 2024, ISSN 1872-8235
Editore: ELSEVIER
DOI: 10.1016/J.ISPRSJPRS.2024.07.027

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

Autori: 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
Pubblicato in: International Journal of Remote Sensing, Numero 46, 2025, ISSN 0143-1161
Editore: 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

Autori: Langning Huo, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Pubblicato in: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Editore: 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

Autori: Luiz Henrique Elias Cosimo, Eva Lindberg, Henrik Persson, Jonas Bohlin, Langning Huo
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero XLVIII-2/W11-2025, 2025, ISSN 2194-9034
Editore: 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

Autori: Alva Anttonen, Axel Päivänsalo, Emma Turkulainen, Raquel Alves Oliveira, Kirsi Karila, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero XLVIII-2/W11-2025, 2025, ISSN 2194-9034
Editore: 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

Autori: 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
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2024, ISSN 1872-8235
Editore: ISPRS
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-3-2024-559-2024

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

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