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All Outputs (44)

An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking (2023)
Journal Article
Valman, S. J., Boyd, D. S., Carbonneau, P. E., Johnson, M. F., & Dugdale, S. J. (2024). An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking. Remote Sensing of Environment, 301, Article 113932. https://doi.org/10.1016/j.rse.2023.113932

Monitoring rivers is vital to manage the invaluable ecosystem services they provide, and also to mitigate the risks they pose to property and life through flooding and drought. Due to the vast extent and dynamic nature of river systems, Earth Observa... Read More about An AI approach to operationalise global daily PlanetScope satellite imagery for river water masking.

Quantifying the Impact of Spatiotemporal Resolution on the Interpretation of Fluvial Geomorphic Feature Dynamics From Sentinel 2 Imagery: An Application on a Braided River Reach in Northern Italy (2023)
Journal Article
Bozzolan, E., Brenna, A., Surian, N., Carbonneau, P., & Bizzi, S. (2023). Quantifying the Impact of Spatiotemporal Resolution on the Interpretation of Fluvial Geomorphic Feature Dynamics From Sentinel 2 Imagery: An Application on a Braided River Reach in Northern Italy. Water Resources Research, 59(12), Article e2023WR034699. https://doi.org/10.1029/2023wr034699

Machine learning algorithms applied on the publicly available Sentinel 2 images (S2) are opening the opportunity to automatically classify and monitor fluvial geomorphic feature (such as sediment bars or water channels) dynamics across scales. Howeve... Read More about Quantifying the Impact of Spatiotemporal Resolution on the Interpretation of Fluvial Geomorphic Feature Dynamics From Sentinel 2 Imagery: An Application on a Braided River Reach in Northern Italy.

Global mapping of river sediment bars (2023)
Journal Article
Carbonneau, P. E., & Bizzi, S. (2023). Global mapping of river sediment bars. Earth Surface Processes and Landforms, https://doi.org/10.1002/esp.5739

Recently, deep learning has been increasingly applied to global mapping of land‐use and land‐cover classes. However, very few studies have addressed the problem of separating lakes from rivers, and to our knowledge, none have addressed the issue of m... Read More about Global mapping of river sediment bars.

Mapping riverbed sediment size from Sentinel‐2 satellite data (2022)
Journal Article
Marchetti, G., Bizzi, S., Belletti, B., Lastoria, B., Comiti, F., & Carbonneau, P. E. (2022). Mapping riverbed sediment size from Sentinel‐2 satellite data. Earth Surface Processes and Landforms, 47(10), 2544-2559. https://doi.org/10.1002/esp.5394

A comprehensive understanding of river dynamics requires the grain size distribution of bed sediments and its variation across different temporal and spatial scales. Several techniques are already available for grain size assessment based on field an... Read More about Mapping riverbed sediment size from Sentinel‐2 satellite data.

Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods (2021)
Journal Article
Marochov, M., Stokes, C., & Carbonneau, P. (2021). Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods. The Cryosphere, 15, 5041-5059. https://doi.org/10.5194/tc-15-5041-2021

A wealth of research has focused on elucidating the key controls on mass loss from the Greenland and Antarctic ice sheets in response to climate forcing, specifically in relation to the drivers of marine-terminating outlet glacier change. The manual... Read More about Image classification of marine-terminating outlet glaciers in Greenland using deep learning methods.

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 (<10 cm) images of fluvial environments are now a common data source used to better understand these sensitive habi... 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.

The Case Against Vast Glaciation in Valles Marineris, Mars (2018)
Journal Article
Kissick, L. E., & Carbonneau, P. E. (2019). The Case Against Vast Glaciation in Valles Marineris, Mars. Icarus, 321, 803-823. https://doi.org/10.1016/j.icarus.2018.12.021

The Valles Marineris of Mars form the largest system of interconnected canyons in the Solar System, where morphological, mineralogical, and structural evidence of widespread glaciation has been recently reported. However, neither precipitation models... Read More about The Case Against Vast Glaciation in Valles Marineris, Mars.

Robotic photosieving from low-cost multirotor sUAS: A proof-of-concept (2018)
Journal Article
Carbonneau, P., Bizzi, S., & Marchetti, G. (2018). Robotic photosieving from low-cost multirotor sUAS: A proof-of-concept. Earth Surface Processes and Landforms, 43(5), 1160-1166. https://doi.org/10.1002/esp.4298

Measurement of riverbed material grainsizes is now a routine part of fieldwork in fluvial geomorphology and lotic ecology. In the last decade, several authors have proposed remote sensing approaches of grain size measurements based on terrestrial and... Read More about Robotic photosieving from low-cost multirotor sUAS: A proof-of-concept.

From manned to unmanned aircraft: Adapting airborne particle size mapping methodologies to the characteristics of sUAS and SfM (2018)
Journal Article
Woodget, A., Fyffe, C., & Carbonneau, P. (2018). From manned to unmanned aircraft: Adapting airborne particle size mapping methodologies to the characteristics of sUAS and SfM. Earth Surface Processes and Landforms, 43(4), 857-870. https://doi.org/10.1002/esp.4285

Subaerial particle size data holds a wealth of valuable information for fluvial, coastal, glacial and other sedimentological applications. Recently, we have gained the opportunity to map and quantify surface particle sizes at the mesoscale using data... Read More about From manned to unmanned aircraft: Adapting airborne particle size mapping methodologies to the characteristics of sUAS and SfM.

Population density controls on microbial pollution across the Ganga catchment (2017)
Journal Article
Milledge, D., Gurjar, S., Bunce, J., Tare, V., Sinha, R., & Carbonneau, P. (2018). Population density controls on microbial pollution across the Ganga catchment. Water Research, 128, 82-91. https://doi.org/10.1016/j.watres.2017.10.033

For millions of people worldwide, sewage-polluted surface waters threaten water security, food security and human health. Yet the extent of the problem and its causes are poorly understood. Given rapid widespread global urbanisation, the impact of ur... Read More about Population density controls on microbial pollution across the Ganga catchment.

Cost-effective non-metric photogrammetry from consumer-grade sUAS: implications for direct georeferencing of structure from motion photogrammetry (2016)
Journal Article
Carbonneau, P., & Dietrich, J. (2017). Cost-effective non-metric photogrammetry from consumer-grade sUAS: implications for direct georeferencing of structure from motion photogrammetry. Earth Surface Processes and Landforms, 42(3), 473-486. https://doi.org/10.1002/esp.4012

The declining costs of small Unmanned Aerial Systems (sUAS), in combination with Structure-from-Motion (SfM) photogrammetry have triggered renewed interest in image-based topography reconstruction. However, the potential uptake of sUAS-based topograp... Read More about Cost-effective non-metric photogrammetry from consumer-grade sUAS: implications for direct georeferencing of structure from motion photogrammetry.

The accuracy and reliability of traditional surface flow type mapping: is it time for a new method of characterizing physical river habitat? (2016)
Journal Article
Woodget, A., Visser, F., Maddock, I., & Carbonneau, P. (2016). The accuracy and reliability of traditional surface flow type mapping: is it time for a new method of characterizing physical river habitat?. River Research and Applications, 32(9), 1902-1914. https://doi.org/10.1002/rra.3047

Surface flow types (SFTs) are advocated as ecologically relevant hydraulic units, often mapped visually from the bankside to characterize rapidly the physical habitat of rivers. SFT mapping is simple, non-invasive and cost-efficient. However, it is a... Read More about The accuracy and reliability of traditional surface flow type mapping: is it time for a new method of characterizing physical river habitat?.

Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments (2015)
Journal Article
Oliver, D., Porter, K., Pachepsky, Y., Muirhead, R., Reaney, S., Coffey, R., …Quilliam, R. (2016). Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments. Science of the Total Environment, 544, 39-47. https://doi.org/10.1016/j.scitotenv.2015.11.086

The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has... Read More about Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments.

Surface morphology of fans in the high-Arctic periglacial environment of Svalbard: Controls and processes (2015)
Journal Article
de Haas, T., Kleinhans, M., Carbonneau, P., Rubensdotter, L., & Hauber, E. (2015). Surface morphology of fans in the high-Arctic periglacial environment of Svalbard: Controls and processes. Earth-Science Reviews, 146, 163-182. https://doi.org/10.1016/j.earscirev.2015.04.004

Fan-shaped landforms occur in all climatic regions on Earth. They have been extensively studied in many of these regions, but there are few studies on fans in periglacial, Arctic and Antarctic regions. Fans in such regions are exposed to many site-sp... Read More about Surface morphology of fans in the high-Arctic periglacial environment of Svalbard: Controls and processes.

Low-cost inundation modelling at the reach scale with sparse data in the Lower Damodar River basin, India (2014)
Journal Article
Sanyal, J., Carbonneau, P., & Densmore, A. (2014). Low-cost inundation modelling at the reach scale with sparse data in the Lower Damodar River basin, India. Hydrological Sciences Journal, 59(12), 2086-2102. https://doi.org/10.1080/02626667.2014.884718

Data unavailability is the main reason for limited applications of hydrodynamic models for predicting inundation in the developing world. This paper aims to generate moderately high-resolution hybrid terrain data by merging height information from lo... Read More about Low-cost inundation modelling at the reach scale with sparse data in the Lower Damodar River basin, India.

Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry (2014)
Journal Article
Woodget, A., Carbonneau, P., Visser, F., & Maddock, I. (2014). Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surface Processes and Landforms, 40(1), 47-64. https://doi.org/10.1002/esp.3613

Quantifying the topography of rivers and their associated bedforms has been a fundamental concern of fluvial geomorphology for decades. Such data, acquired at high temporal and spatial resolutions, are increasingly in demand for process-oriented inve... Read More about Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry.

Analysing the effect of land use/cover changes at sub-catchment levels on downstream flood peaks: a semi-distributed modelling approach with sparse data (2014)
Journal Article
Sanyal, J., Densmore, A., & Carbonneau, P. (2014). Analysing the effect of land use/cover changes at sub-catchment levels on downstream flood peaks: a semi-distributed modelling approach with sparse data. CATENA, 118, 28-40. https://doi.org/10.1016/j.catena.2014.01.015

This paper aims to evaluate how varying degrees of land-use/cover (LULC) changes across sub-catchments affect a flood peak at the catchment outlet. The study site was the Konar catchment, a part of the upper Damodar Basin in eastern India. A HEC-HMS... Read More about Analysing the effect of land use/cover changes at sub-catchment levels on downstream flood peaks: a semi-distributed modelling approach with sparse data.