Network for novel remote sensing technologies in forest disturbance ecology

Información del proyecto

RESDINET

Identificador del acuerdo de subvención: 101078970

DOI

10.3030/101078970

Proyecto cerrado

Fecha de la firma de la CE 30 Agosto 2022

Fecha de inicio 1 Enero 2023

Fecha de finalización 31 Diciembre 2025

Financiado con arreglo a

• Widening participation and spreading excellence

Coste total

€ 1 537 505,00

Aportación de la UE

€ 1 495 880,00

Coordinado por

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Peer reviewed articles (6)

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

Autores: Matúš Pivovar, Roope Näsi, Eija Honkavaara, Miroslav Blaženec, Jaroslav Škvarenina, Roman Modlinger, Jaroslav Rožnovský, Rastislav Jakuš
Publicado en: Forest Ecology and Management, Edición 586, 2025, ISSN 0378-1127
Editor: 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

Autores: Langning Huo, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Publicado en: International Journal of Remote Sensing, Edición 46, 2025, ISSN 0143-1161
Editor: 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

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

International Journal for Remote Sensing

Autores: Huo, Langning
Publicado en: Sensitivity analysis of the Green Shoulder indices in pre-emergence detection of single trees attacked by European spruce bark beetle, 2025, ISSN 0143-1161
Editor: 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

Autores: Huo, Langning
Publicado en: ISPRS Journal of Photogrammetry and Remote Sensing, 2024, ISSN 1872-8235
Editor: ELSEVIER
DOI: 10.1016/J.ISPRSJPRS.2024.07.027

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

Autores: 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
Publicado en: International Journal of Remote Sensing, Edición 46, 2025, ISSN 0143-1161
Editor: 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

Autores: Langning Huo, Niko Koivumäki, Roope Näsi, Eija Honkavaara
Publicado en: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025
Editor: 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

Autores: Luiz Henrique Elias Cosimo, Eva Lindberg, Henrik Persson, Jonas Bohlin, Langning Huo
Publicado en: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Edición XLVIII-2/W11-2025, 2025, ISSN 2194-9034
Editor: 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

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

Autores: 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
Publicado en: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2024, ISSN 1872-8235
Editor: ISPRS
DOI: 10.5194/ISPRS-ARCHIVES-XLVIII-3-2024-559-2024

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

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