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Outputs (3)

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.

Landscape-scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics (2022)
Journal Article
Waite, C. E., van der Heijden, G. M., Field, R., Burslem, D. F., Dalling, J. W., Nilus, R., Rodríguez-Ronderos, M. E., Marshall, A. R., & Boyd, D. S. (2023). Landscape-scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics. Journal of Ecology, 111(1), 77-89. https://doi.org/10.1111/1365-2745.14015

Lianas (woody vines) are a key component of tropical forests, known to reduce forest carbon storage and sequestration and to be increasing in abundance. Analysing how and why lianas are distributed in forest canopies at landscape scales will help us... Read More about Landscape-scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics.

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission (2022)
Journal Article
Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. P., Patterson, P. L., Saarela, S., Marselis, S., Silva, C. E., Bruening, J., Goetz, S. J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., …Zgraggen, C. (2022). Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, Article 112845. https://doi.org/10.1016/j.rse.2021.112845

NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of t... Read More about Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission.