Information
🌐 Google Scholar | |
📚 Organization | Université de Rennes |
🔨 Linkedin | |
🌐 Website | |
📍 GitHub |
Projects
Bio
I am Mathilde Letard, a postdoctoral researcher in the field of remote sensing with a solid foundation in machine learning and deep learning for Earth observation. My professional journey began at the Universiy of Rennes, where I earned my PhD degree in statistics and modelling for geosciences. There, I worked within the Lidar Platform of the Earth Sciences and Astronomy Observatory and researched deep learning solutions for lidar data processing.
Current Role
Currently, I serve as a Postdoctoral Researcher at the Technical University of Munich, within the Chair of Remote Sensing Applications of the Department of Aerospace and Geodesy, where I work on developing new methods for 4D data processing. I am dedicated to enhancing the processing and exploitation of 3D+time datasets for environmental monitoring purposes.
Areas of Expertise
My expertise lies in several key areas of Remote Sensing, including machine learning and deep neural networks, lidar remote sensing, and 3D point clouds and time series exploitation.
Vision for the Future
In the future, I would like to exploit my experience with 3D point clouds and time series to enhance 4D datasets processing for topographic dynamics analysis and provide solutions to better understand environmental changes, their relationship with climate change, and their trends of evolution.
Publications
- M. Letard, T. Corpetti, D. Lague, “Extracting Optical And Physical Properties Of Various Waters Using Lidar Waveforms And Deep Neural Networks”, in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024.
- M. Letard, D. Lague, A. Le Guennec,S. Lefèvre, B. Feldmann, P. Leroy,D. Girardeau-Montaut, T. Corpetti, “3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-Spectral Topo-Bathymetric lidar data”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 207, p. 175-197, 2024.
- M. Letard, A. Collin, D. Lague, T. Corpetti, Y. Pastol, A. Ekelund, “Using bispectral full-waveform lidar to map seamless coastal habitats in 3D”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, XLIII-B3, pp. 463-470.
- M. Letard, A. Collin, T. Corpetti, D. Lague, Y. Pastol, A. Ekelund, “Classification of Land-Water Continuum Habitats Using Exclusively Airborne Topobathymetric Lidar Green Waveforms and Infrared Intensity Point Clouds”, Remote Sensing 14(2):341, 2022.
- M. Letard, A. Collin, T. Corpetti, D. Lague, Y. Pastol, H. Gloria, D. James, A. Mury, “Classification of coastal and estuarine ecosystems using full-waveform topo-bathymetric lidar data and artificial intelligence”, in OCEANS 2021, San Diego – Porto, 2021, pp. 1-10.
- M. Letard, A. Collin, D. Lague, T. Corpetti, Y. Pastol, A. Ekelund, G. Pergent, S. Costa, “Towards 3D Mapping of Seagrass Meadows with Topo-Bathymetric Lidar Full Waveform Processing”, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp.