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Ungulates and succession dynamics reduce tree species richness in temperate unevenaged forests

• Authors : Ligot, Gauthier; Candaele, Romain; Fichefet, Violaine

Subjects: Life sciences; Environmental sciences & ecology; Sciences du vivant

• Source: Uneven-aged silviculture: insights into forest adaptation in times of global change (2023-09); Uneven-aged silviculture: insights into forest adaptation in times of global change, Brno, Czechia [CZ],

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From the simulation of forest plantation dynamics to the quantification of bark-stripping damage by ungulates

• Authors : Ligot, Gauthier; Gheysen, thibaut; Perin, Jérôme

Subjects: Life sciences; Environmental sciences & ecology; Sciences du vivant

• Source: FOREM, du 9 au 11 mai 2023

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Towards the automation of large mammal aerial survey in Africa

• Authors : Delplanque, Alexandre; Foucher, Samuel; Lejeune, Philippe

Subjects: Convolutional Neural Networks; Deep Learning; Livestock

• Source: Ecological Society of America (ESA) and Canadian Society for Ecology and Evolution (CSEE) joint annual meeting, Montréal, Canada [CA], August 14 to August 19, 2022

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Counting African Mammal Herds in Aerial Imagery Using Deep Learning: Are Anchor-Based Algorithms the Most Suitable?

• Authors : Delplanque, Alexandre; Foucher, Samuel; Lejeune, Philippe

Subjects: deep learning; object detection; aerial survey

• Source: 10th International Conference on Agro-Geoinformatics and 43rd Canadian Symposium on Remote Sensing, Québec, Canada [CA], from 11 to 14 July 2022

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Avoiding past mistakes of logging in the Congo Basin by promoting adapted new species

• Authors : Doucet, Robin; Jourez, Benoît; Lejeune, Philippe

Subjects: Life sciences; Phytobiology (plant sciences, forestry, mycology...); Sciences du vivant

• Source: European Conference of Tropical Ecology, Montpellier, France [FR], 6-9 June 2022

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Will artificial intelligence revolutionize aerial surveys? A first large-scale semi-automated survey of African wildlife using oblique imagery and deep learning

• Authors : Delplanque, Alexandre; Linchant, Julie; Vincke, Xavier

Subjects: aerial survey; deep learning; wildlife

• Source: Ecological Informatics, 82, 102679 (2024-06)

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Monitoring wildlife from space: Advances, challenges and research priorities

• Authors : Théau, Jérôme; Foucher, Samuel; Serati, Ghazaleh ...

Subjects: wildlife monitoring; remote sensing; deep learning

• Source: Séminaire "Forest Is Life", Gembloux, Belgium [BE], 24/05/2024

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Wildlife detection, counting and survey using satellite imagery: are we there yet?

• Authors : Delplanque, Alexandre; Théau, Jérôme; Foucher, Samuel

Subjects: wildlife; remote sensing; satellite imagery

• Source: GIScience and Remote Sensing, 61 (1) (2024-05-09)

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Mapping Natural Regeneration in Canopy Gaps from Seedlings to Saplings in Uneven-Aged Deciduous Forests using ALS Data

• Authors : Leclere, Louise; Latte, Nicolas; Bolyn, Corentin

Subjects: Regenaration; Canopy gaps; Mapping

• Source: Proceedings of the SilviLaser Conference 2021 (Vol. 104)., 83-86 (2021); SilviLaser 2021, Vienne, Austria [AT], 28 septembre 2021 au 30 septembre 2021

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LE MOI EST-IL INTERNATIONAL?

• Authors : LEJEUNE, PHILIPPE¹

• Source: Biography: An Interdisciplinary Quarterly. Winter2009, Vol. 32 Issue 1, p1-8. 8p.

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