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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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Da autobiografia ao diário, da Universidade à associação: itinerários de uma pesquisa = De l’autobiographie au journal, de l’Université à l’association: itinéraires d’une recherche

• Authors : Lejeune, Philippe

Subjects: autobiografias na literatura; diários íntimos; Philology. Linguistics

• Source: Letras de Hoje, Vol 48, Iss 4, Pp 537-544 (2013)

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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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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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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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Harmonised statistics and maps of forest biomass and increment in Europe

• Authors : Avitabile, Valerio; Pilli, Roberto; Migliavacca, Mirco

Subjects: article; Text; ddc:630

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