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Bolyn Corentin

Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech

Gembloux Agro-Bio Tech > Form. doct. sc. agro. & ingé. biol. (paysage)

Gembloux Agro-Bio Tech > Doct. scienc. agron. ing. biol.

ORCID
0000-0003-0082-4459
Main Referenced Co-authors
Latte, Nicolas  (8)
Lejeune, Philippe  (8)
Michez, Adrien  (4)
Colson, Vincent (2)
Fourbisseur, Anne (2)
Main Referenced Keywords
aerial mapping (1); ALS (1); camera (1); Canopy gaps (1); Convolutional neural network (1);
Main Referenced Unit & Research Centers
Gembloux Agro-Bio Tech (1)
Main Referenced Disciplines
Environmental sciences & ecology (5)
Agriculture & agronomy (3)
Life sciences: Multidisciplinary, general & others (3)
Engineering, computing & technology: Multidisciplinary, general & others (2)
Phytobiology (plant sciences, forestry, mycology...) (1)

Publications (total 9)

The most downloaded
252 downloads
Bolyn, C., Latte, N., Colson, V., Fourbisseur, A., Vanderheeren, N., & Lejeune, P. (November 2020). Une carte des principaux types de peuplements forestiers de Belgique et du Nord de la France. Forêt.Nature, 156, p. 48-57. https://hdl.handle.net/2268/252311

The most cited

19 citations (Scopus®)

Bolyn, C., Lejeune, P., Michez, A., & Latte, N. (October 2022). Mapping tree species proportions from satellite imagery using spectral–spatial deep learning. Remote Sensing of Environment, 280, 113205. doi:10.1016/j.rse.2022.113205 https://hdl.handle.net/2268/294969

Bolyn, C. (2023). Mapping trees inside and outside of the forest using remote sensing: application to temperate European landscapes [Doctoral thesis, ULiège. GxABT - Liège Université. Gembloux Agro-Bio Tech]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/307728

Bolyn, C., Lejeune, P., Michez, A., & Latte, N. (October 2022). Mapping tree species proportions from satellite imagery using spectral–spatial deep learning. Remote Sensing of Environment, 280, 113205. doi:10.1016/j.rse.2022.113205
Peer Reviewed verified by ORBi

Leclere, L., Lejeune, P., Bolyn, C., & Latte, N. (11 March 2022). Estimating Species-Specific Stem Size Distributions of Uneven-Aged Mixed Deciduous Forests Using ALS Data and Neural Networks. Remote Sensing, 14 (6), 1362. doi:10.3390/rs14061362
Peer Reviewed verified by ORBi

Leclere, L., Latte, N., Bolyn, C., & Lejeune, P. (2021). Mapping Natural Regeneration in Canopy Gaps from Seedlings to Saplings in Uneven-Aged Deciduous Forests using ALS Data. In M. Hollaus & N. Pfeifer, Proceedings of the SilviLaser Conference 2021 (Vol. 104) (pp. 83-86). doi:10.34726/wim.1923
Peer reviewed

Bolyn, C., Latte, N., Colson, V., Fourbisseur, A., Vanderheeren, N., & Lejeune, P. (November 2020). Une carte des principaux types de peuplements forestiers de Belgique et du Nord de la France. Forêt.Nature, 156, p. 48-57.

Michez, A., Huylenbroeck, L., Bolyn, C., Latte, N., Bauwens, S., & Lejeune, P. (01 October 2020). Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe. International Journal of Applied Earth Observation and Geoinformation, 92, 102190. doi:10.1016/j.jag.2020.102190
Peer Reviewed verified by ORBi

Latte, N., Gaucher, P., Bolyn, C., Lejeune, P., & Michez, A. (16 April 2020). Upscaling UAS Paradigm to UltraLight Aircrafts: A Low-Cost Multi-Sensors System for Large Scale Aerial Photogrammetry. Remote Sensing, 12 (8). doi:10.3390/rs12081265
Peer Reviewed verified by ORBi

Bolyn, C., Latte, N., Fourbisseur, A., Colson, V., Baudry, O., & Lejeune, P. (2020). Cartographie et caractérisation des arbres hors forêt à l’aide de la technologie LiDAR. Forêt.Nature, 155, p. 34-46.

Bolyn, C., Lejeune, P., Michez, A., & Latte, N. (2019). Automated Classification of Trees outside Forest for Supporting Operational Management in Rural Landscapes. Remote Sensing, 11 (10), 1146. doi:10.3390/rs11101146
Peer Reviewed verified by ORBi

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