Jérôme Théau

Research topics

My research program aims to develop tools and methods for characterizing vegetation in controlled environments (e. g. agricultural environments) and natural environments (e. g. forests, riparian ecosystems, wildlife habitats), using remote sensing and geographic information systems, in a context of conservation and climate change.

Email

Jerome.Theau@USherbrooke.ca

Current projects

1. Spatial characterization of ecological services provided by ecosystems (e.g. wetlands) at the watershed scale, in a context of climate change

2. Development of « unmanned aircraft-sensor » systems adapted to the characterization of agricultural and forest environments as well as wildlife inventory

3. characterization of ecological networks and corridors (spatial scales, geomatics methods, wildlife passages)

4. Development of spatial indicators for monitoring the ecological integrity of protected areas (e.g. Quebec national parks)

Publications (selected articles)

Delplanque, A., Foucher, S., Lejeune, P., Linchant, J., & Théau, J. (2021). Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks. Remote Sensing in Ecology and Conservation.
Aubé, L., Guay, F., Bergeron, R., Théau, J., & Devillers, N. (2021). Foraging behaviour of gestating sows on pasture and damages to vegetation cover are influenced by restriction of concentrate feed. Applied Animal Behaviour Science, 105299.
Théau, J., Lauzier-Hudon, É., Aubé, L., & Devillers, N. (2021). Estimation of forage biomass and vegetation cover in grasslands using UAV imagery. Plos one, 16(1), e0245784.
Moreni, M., Theau, J., & Foucher, S. (2021). Train Fast While Reducing False Positives: Improving Animal Classification Performance Using Convolutional Neural Networks. Geomatics, 1(1), 34-49.
Boulent, J., St-Charles, P.-L., Foucher, S., Théau, J. (2020) Automatic detection of Flavescence dorée symptoms across white grapevines varieties using deep learning. Frontiers in artificial intelligence. Sous presse
Pelletier-Guittier, C., Théau, J., Dupras, J. (2020) Use of hedgerows by mammals in an intensive agricultural landscape. Agriculture, Ecosystems and Environment, 302: 107079.
Wen, X., Théau, J. (2020) Spatiotemporal analysis of water-related ecosystem services under ecological restoration scenarios: A case study in northern Shaanxi, China. Science of the Total Environment 720: 137477.
Théau, J., Gavelle, E., Ménard, P. (2020) Crop Scouting Using UAV Imagery: a Case Study for Potatoes. JUVS 8(2): 99-118.
Wen, Xin, and Jérôme Théau. « Assessment of ecosystem services in restoration programs in China: A systematic review. » Ambio 49.2 (2020): 584-592.
Boulent, J., Foucher, S., Théau, J., St-Charles, P.-L. (2019) Convolutional Neural Networks for the Automatic Identification of Plant Pests and Diseases : a Review. Frontiers in Plant Science, 10:941. doi: 10.3389/fpls.2019.00941.
Shahbazi, M., Menard, P., Sohn, G., Théau, J. (2019) Unmanned aerial image dataset: ready for 3D reconstruction. Data in Brief, 25: 103962. https://doi.org/10.1016/j.dib.2019.103962
Varin, M., J. Théau and R.A. Fournier (2019) Mapping ecosystem services provided by wetlands at multiples spatiotemporal scales : A case study in Quebec, Canada. Journal of Environmental Management, 246 : 334-344.
Théau, J., Trottier, S., Graillon P. (2018) Optimization of an ecological integrity monitoring program for protected areas : case study for a network of national parks. PLoS ONE 13(9) : e0202902.
Shahbazi, M., Sohn, G., Théau, J. (2018) High-density Stereo Image Matching Using Intrinsic Curves. ISPRS Journal of Photogrammetry and Remote Sensing, 146 : 373-388.
Shahbazi, M., Sohn, G. and Théau, J. (2017) Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection. Algorithms, 10(3), 87.
Shahbazi, Sohn, Théau et Ménard (2017) Robust Structure-from-Motion Computation: Application to Open-Pit Mine Surveying from Unmanned Aerial Images. Journal of Unmanned Vehicle Systems, 5(4): 126-145.
Chrétien, L.-P., Théau, J., Ménard, P. (2016). Visible and thermal infrared remote sensing for the detection of white-tailed deer using an unmanned aerial system. Wildlife Society Bulletin, 40(1) pp. 181 – 191.