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All Outputs (8)

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.

Assessment of variability of peat physicochemical properties, subsidence and their interactions within Selangor forests (2023)
Journal Article
Dhandapani, S., Evers, S., Boyd, D. S., Yesuf, G., Kinneen, L., Haughan, A., & Sjogersten, S. (2023). Assessment of variability of peat physicochemical properties, subsidence and their interactions within Selangor forests. European Journal of Soil Science, 74(6), Article e13431. https://doi.org/10.1111/ejss.13431

Tropical peat swamp forests are carbon-rich ecosystems both above- and belowground, which play a major role in the climate balance of the earth. The majority of the world's tropical peat forest cover is located in Southeast Asia and is increasingly t... Read More about Assessment of variability of peat physicochemical properties, subsidence and their interactions within Selangor forests.

Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden (2023)
Journal Article
Sjögersten, S., Ledger, M., Siewert, M., de la Barreda-Bautista, B., Sowter, A., Gee, D., …Boyd, D. S. (2023). Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden. Biogeosciences, 20(20), 4221-4239. https://doi.org/10.5194/bg-20-4221-2023

Permafrost thaw in Arctic regions is increasing methane (CH4) emissions into the atmosphere, but quantification of such emissions is difficult given the large and remote areas impacted. Hence, Earth observation (EO) data are critical for assessing pe... Read More about Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden.

Best practice guidelines for citizen science in mental health research: systematic review and evidence synthesis (2023)
Journal Article
Todowede, . O., Lewandowski, F., Kotera, Y., Ashmore, A., Rennick-Egglestone, S., Boyd, D., …Slade, M. (2023). Best practice guidelines for citizen science in mental health research: systematic review and evidence synthesis. Frontiers in Psychiatry, 14, Article 1175311. https://doi.org/10.3389/fpsyt.2023.1175311

Partnering with people most affected by mental health problems can transform mental health outcomes. Citizen science as a research approach enables partnering with the public at a substantial scale, but there is scarce guidance on its use in mental h... Read More about Best practice guidelines for citizen science in mental health research: systematic review and evidence synthesis.

Assessment of differences in peat physico-chemical properties, surface subsidence and GHG emissions between the major land-uses of Selangor peatlands (2023)
Journal Article
Dhandapani, S., Evers, S., Boyd, D., Evans, C. D., Page, S., Parish, F., & Sjogersten, S. (2023). Assessment of differences in peat physico-chemical properties, surface subsidence and GHG emissions between the major land-uses of Selangor peatlands. CATENA, 230, Article 107255. https://doi.org/10.1016/j.catena.2023.107255

Tropical peatlands are globally important ecosystems for carbon storage, biodiversity conservation, water storage and regulation, and several other valuable ecosystem services. Despite their importance, peatlands in Southeast Asia have been heavily d... Read More about Assessment of differences in peat physico-chemical properties, surface subsidence and GHG emissions between the major land-uses of Selangor peatlands.

Monitoring holopelagic Sargassum spp. along the Mexican Caribbean coast: understanding and addressing user requirements for satellite remote sensing (2023)
Journal Article
de la Barreda-Bautista, B., Metcalfe, S. E., Smith, G., Sjögersten, S., Boyd, D. S., Cerdeira-Estrada, S., …Foody, G. (2023). Monitoring holopelagic Sargassum spp. along the Mexican Caribbean coast: understanding and addressing user requirements for satellite remote sensing. Frontiers in Marine Science, 10, Article 1166000. https://doi.org/10.3389/fmars.2023.1166000

Massive influxes of holopelagic Sargassum spp. (Sargassum natans and S. fluitans) have been causing major economic, environmental and ecological problems along the Caribbean coast of Mexico. Predicting the arrival of the sargassum as an aid to addres... Read More about Monitoring holopelagic Sargassum spp. along the Mexican Caribbean coast: understanding and addressing user requirements for satellite remote sensing.

Detecting tropical peatland degradation: Combining remote sensing and organic geochemistry (2023)
Journal Article
Brown, C., Boyd, D. S., Sjögersten, S., & Vane, C. H. (2023). Detecting tropical peatland degradation: Combining remote sensing and organic geochemistry. PLoS ONE, 18(3), Article e0280187. https://doi.org/10.1371/journal.pone.0280187

Tropical peatlands are important carbon stores that are vulnerable to drainage and conversion to agriculture. Protection and restoration of peatlands are increasingly recognised as key nature based solutions that can be implemented as part of climate... Read More about Detecting tropical peatland degradation: Combining remote sensing and organic geochemistry.

Deep Feature and Domain Knowledge Fusion Network for Mapping Surface Water Bodies by Fusing Google Earth RGB and Sentinel-2 images (2023)
Journal Article
Zhou, P., Li, X., Foody, G. M., Boyd, D. S., Wang, X., Ling, F., …Du, Y. (2023). Deep Feature and Domain Knowledge Fusion Network for Mapping Surface Water Bodies by Fusing Google Earth RGB and Sentinel-2 images. IEEE Geoscience and Remote Sensing Letters, 1-1. https://doi.org/10.1109/LGRS.2023.3234306

Mapping surface water bodies from fine spatial resolution optical remote sensing imagery is essential for the understanding of the global hydrologic cycle. Although satellite data are useful for mapping, the limited spectral information captured by s... Read More about Deep Feature and Domain Knowledge Fusion Network for Mapping Surface Water Bodies by Fusing Google Earth RGB and Sentinel-2 images.