Outputs (3)

Adopting deep learning methods for airborne RGB fluvial scene classification (2020)
Journal Article
Carbonneau, P., Dugdale, S., Breckon, T., Dietrich, J., Fonstad, M., Miyamoto, H., & Woodget, A. (2020). Adopting deep learning methods for airborne RGB fluvial scene classification. Remote Sensing of Environment, 251, Article 112107. https://doi.org/10.1016/j.rse.2020.112107

Rivers are among the world's most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution (5 billion pixels were labelled and partitioned for the tasks of training (1 billion pixels) and validation (4 bill... Read More about Adopting deep learning methods for airborne RGB fluvial scene classification.

UAV-based training for fully fuzzy classification of Sentinel-2 fluvial scenes (2020)
Journal Article
Carbonneau, P., Belletti, B., Micotti, M., Lastoria, B., Casaioli, M., Mariani, S., …Bizzi, S. (2020). UAV-based training for fully fuzzy classification of Sentinel-2 fluvial scenes. Earth Surface Processes and Landforms, 45(13), 3120-3140. https://doi.org/10.1002/esp.4955

An estimated 76% of global stream area is occupied by channels with widths above 30 meters. Sentinel‐2 imagery with resolutions of 10m could supply information about the composition of river corridors at national and global scales. Fuzzy classificati... Read More about UAV-based training for fully fuzzy classification of Sentinel-2 fluvial scenes.

Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects (2020)
Journal Article
Piégay, H., Arnaud, F., Belletti, B., Bertrand, M., Bizzi, S., Carbonneau, P., …Slater, L. (2020). Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects. Earth Surface Processes and Landforms, 45(1), 157-188. https://doi.org/10.1002/esp.4787

The rivers of the world are undergoing accelerated change in the Anthropocene, and need to be managed at much broader spatial and temporal scales than before. Fluvial remote sensing now offers a technical and methodological framework that can be depl... Read More about Remotely Sensed Rivers in the Anthropocene: State of the Art and Prospects.