Digital twins for understanding forest disturbances and recovery from space

Informazioni relative al progetto

SPACETWIN

ID dell’accordo di sovvenzione: 101039795

DOI

10.3030/101039795

Data della firma CE 20 Marzo 2022

Data di avvio 1 Novembre 2022

Data di completamento 31 Ottobre 2027

Finanziato da

• European Research Council (ERC)

Costo totale

€ 1 498 859,00

Contributo UE

€ 1 498 859,00

Coordinato da

UNIVERSITEIT GENT
Belgium

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

Other (1)

Data Management Plan

Pubblicazioni

Peer reviewed articles (10)

THREE-DIMENSIONAL DEEP LEARNING FOR LEAF-WOOD SEGMENTATION OF TROPICAL TREE POINT CLOUDS

Autori: W. A. J. Van den Broeck, L. Terryn, W. Cherlet, Z. T. Cooper, K. Calders
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero XLVIII-1/W2-2023, 2023, ISSN 2194-9034
Editore: Copernicus GmbH
DOI: 10.5194/isprs-archives-XLVIII-1-W2-2023-765-2023

AI applications in forest monitoring need remote sensing benchmark datasets

Autori: Lines, Emily; Allen, Matt; Cabo, Carlos; Calders, Kim; Debus, Amandine; Grieve, Stuart; Miltiadou, Milto; Noach, Adam; Owen, Harry; Puliti, Stefano
Pubblicato in: IEEE International Conference on Big Data, 2022, ISSN 2639-1589
Editore: IEEE
DOI: 10.48550/arxiv.2212.09937

International Journal of Applied Earth Observation and Geoinformation

Autori: Cao, Y; Ball, JGC; Coomes, DA; Steinmeier, L; Knapp, N; Wilkes, P; Disney, M; Calders, K; Burt, A; Lin, Y; Jackson, TD
Pubblicato in: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, ISSN 1569-8432
Editore: Elsevier
DOI: 10.17863/cam.101541

<i>LeafGen</i>: Leaf generation in <scp>3D</scp> tree models

Autori: Pietari Mönkkönen, Wouter Van den Broeck, Simo Ali‐Löytty, Kim Calders, Pasi Raumonen
Pubblicato in: Methods in Ecology and Evolution, 2025, ISSN 2041-210X
Editore: Wiley
DOI: 10.1111/2041-210X.70080

Methods in Ecology and Evolution

Autori: Puliti, S; Lines, ER; Müllerová, J; Frey, J; Schindler, Z; Straker, A; Allen, MJ; Winiwarter, L; Rehush, N; Hristova, H; Murray, B; Calders, K; Coops, N; Höfle, B; Irwin, L; Junttila, S; Krůček, M; Krok, G; Král, K; Levick, ; Luck, L; Missarov, A; Mokroš, M; Owen, HJF; Stereńczak, K; Pitkänen, TP; Puletti, N; Saarinen, N; Hopkinson, C; Terryn, L; Torresan, C; Tomelleri, E; Weiser, H; Astrup, R
Pubblicato in: Methods in Ecology and Evolution, 2025, ISSN 2041-210X
Editore: Wiley
DOI: 10.17863/CAM.115379

A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications

Autori: Murtiyoso, Arnadi; Cabo, Carlos; Singh, Arunima; Obaya, Dimas Pereira; Cherlet, Wout; Stoddart, Jaz; Fol, Cyprien Raymi; Beloiu Schwenke, Mirela; Rehush, Nataliia; Stereńczak, Krzysztof; Calders, Kim; Griess, Verena Christiane; Mokroš, Martin
Pubblicato in: CURRENT FORESTRY REPORTS, 2024, ISSN 2198-6436
Editore: springer
DOI: 10.3929/ethz-b-000690813

The impact of leaf-wood separation algorithms on aboveground biomass estimation from terrestrial laser scanning

Autori: Shilin Chen, Hans Verbeeck, Louise Terryn, Wouter A.J. Van den Broeck, Matheus Boni Vicari, Mathias Disney, Niall Origo, Di Wang, Zhouxin Xi, Chris Hopkinson, Wenxia Dai, Meilian Wang, Sruthi M. Krishna Moorthy, Jie Shao, Roberto Ferrara, David W. MacFarlane, Kim Calders
Pubblicato in: Remote Sensing of Environment, Numero 318, 2025, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/J.RSE.2024.114581

StrucNet: a global network for automated vegetation structure monitoring

Autori: Calders, Kim; Brede, Benjamin; Newnham, Glenn; Culvenor, Darius; Armston, John; Bartholomeus, Harm; Griebel, Anne; Hayward, Jodie; Junttila, Samuli; Lau, Alvaro; Levick, Shaun; Morrone, Rosalinda; Origo, Niall; Pfeifer, Marion; Verbesselt, Jan; Herold, Martin
Pubblicato in: REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2023, ISSN 2056-3485
Editore: Wiley
DOI: 10.1002/rse2.333

Remote Sensing

Autori: Tom E. Verhelst; Kim Calders; Andrew Burt; Miro Demol; Barbara D’hont; Joanne Nightingale; Louise Terryn; Hans Verbeeck
Pubblicato in: Remote Sensing, 2024, ISSN 2072-4292
Editore: MDPI
DOI: 10.3390/rs16234560

Methods in Ecology and Evolution

Autori: Phil Wilkes; Mathias Disney; John Armston; Harm Bartholomeus; Lisa Bentley; Benjamin Brede; Andrew Burt; Kim Calders; Cecilia Chavana‐Bryant; Daniel Clewley; Laura Duncanson; Brieanne Forbes; Sean Krisanski; Yadvinder Malhi; David Moffat; Niall Origo; Alexander Shenkin; Wanxin Yang
Pubblicato in: Methods in Ecology and Evolution, 2022, ISSN 2041-210x
Editore: John Wiley and Sons Inc.
DOI: 10.1101/2022.12.07.518693

Conference proceedings (3)

Benchmarking Instance Segmentation in Terrestrial Laser Scanning Forest Point Clouds

Autori: Wout Cherlet, Zane Cooper, Wouter A.J. Van Den Broeck, Mathias Disney, Niall Origo, Kim Calders
Pubblicato in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Editore: IEEE
DOI: 10.1109/IGARSS53475.2024.10642025

THREE-DIMENSIONAL DEEP LEARNING FOR LEAF-WOOD SEGMENTATION OF TROPICAL TREE POINT CLOUDS

Autori: W. A. J. Van den Broeck; L. Terryn; W. Cherlet; Z. T. Cooper; K. Calders
Pubblicato in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Editore: ISPRS
DOI: 10.5194/isprs-archives-xlviii-1-w2-2023-765-2023

Upscaling drought disturbance monitoring in the Amazon forests by combining terrestrial laser scanning and field spectroscopy

Autori: Van den Broeck, Wouter; Cooper, Zane; Cherlet, Wout; Calders, Kim; Meir, Patrick; da Costa, Antonio Carlos Lola
Pubblicato in: 13th EARSeL Workshop on Imaging Spectroscopy, Abstracts, 2024
Editore: Earsel