Skip to main content

Research Repository

Advanced Search

Outputs (67)

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.

Spectral Characteristics of Beached Sargassum in Response to Drying and Decay over Time (2023)
Journal Article
Chandler, C. J., Ávila-Mosqueda, S. V., Salas-Acosta, E. R., Magaña-Gallegos, E., Escalante Mancera, E., Gómez Reali, M. A., …Foody, G. M. (2023). Spectral Characteristics of Beached Sargassum in Response to Drying and Decay over Time. Remote Sensing, 15(17), Article 4336. https://doi.org/10.3390/rs15174336

The bloom of pelagic Sargassum in the Atlantic Ocean has become increasingly problematic, especially when the algae have beached. A build-up of decaying beached material has damaging effects on coastal ecosystems and tourism industries. While remote... Read More about Spectral Characteristics of Beached Sargassum in Response to Drying and Decay over Time.

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.

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., …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.

Landscape Analysis of Cobalt Mining Activities from 2009 to 2021 Using Very High Resolution Satellite Data (Democratic Republic of the Congo) (2022)
Journal Article
Brown, C., Boyd, D. S., & Kara, S. (2022). Landscape Analysis of Cobalt Mining Activities from 2009 to 2021 Using Very High Resolution Satellite Data (Democratic Republic of the Congo). Sustainability, 14(15), Article 9545. https://doi.org/10.3390/su14159545

The cobalt mining sector is well positioned to be a key contributor in determining the success of the Democratic Republic of the Congo (DRC) in meeting the Sustainable Development Goals (SDGs) by 2030. Despite the important contribution to the DRC’s... Read More about Landscape Analysis of Cobalt Mining Activities from 2009 to 2021 Using Very High Resolution Satellite Data (Democratic Republic of the Congo).

Citizen science for Earth Observation (Citzens4EO): understanding current use in the UK (2022)
Journal Article
Boyd, D. S., Foody, G. M., Brown, C., Mazumdar, S., Marshall, H., & Wardlaw, J. (2022). Citizen science for Earth Observation (Citzens4EO): understanding current use in the UK. International Journal of Remote Sensing, 43(8), 2965-2985. https://doi.org/10.1080/01431161.2022.2076574

The role of Earth observation (EO) data in addressing societal problems from environmental through to humanitarian should not be understated. Recent innovation in EO means provision of analysis ready data and data cubes, which allows for rapid use of... Read More about Citizen science for Earth Observation (Citzens4EO): understanding current use in the UK.

Making (remote) sense of lianas (2022)
Journal Article
van der Heijden, G. M., Proctor, A. D., Calders, K., Chandler, C., Field, R., Foody, G. M., …Boyd, D. S. (2022). Making (remote) sense of lianas. Journal of Ecology, 110(3), 498-513. https://doi.org/10.1111/1365-2745.13844

Lianas (woody vines) are abundant and diverse, particularly in tropical ecosystems. Lianas use trees for structural support to reach the forest canopy, often putting leaves above their host tree. Thus they are major parts of many forest canopies. Yet... Read More about Making (remote) sense of lianas.

Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands (2022)
Journal Article
de la Barreda-Bautista, B., Boyd, D. S., Ledger, M., Siewert, M. B., Chandler, C., Bradley, A. V., …Sjögersten, S. (2022). Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands. Remote Sensing, 14(3), Article 444. https://doi.org/10.3390/rs14030444

Permafrost thaw resulting from climate warming is threatening to release carbon from high latitude peatlands. The aim of this research was to determine subsidence rates linked to permafrost thaw in sub-Arctic peatlands in Sweden using historical orth... Read More about Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands.

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., …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.

Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM (2021)
Journal Article
Li, X., Ling, F., Foody, G. M., Boyd, D. S., Jiang, L., Zhang, Y., …Du, Y. (2021). Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM. Remote Sensing of Environment, 265, Article 112680. https://doi.org/10.1016/j.rse.2021.112680

Monitoring the spatiotemporal dynamics of surface water from remote sensing imagery is essential for understanding water's impact on the global ecosystem and climate change. There is often a tradeoff between the spatial and temporal resolutions of im... Read More about Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM.

Disentangling controls on animal abundance: Prey availability, thermal habitat, and microhabitat structure (2021)
Journal Article
Higgins, E. A., Boyd, D. S., Brown, T. W., Owen, S. C., & Algar, A. C. (2021). Disentangling controls on animal abundance: Prey availability, thermal habitat, and microhabitat structure. Ecology and Evolution, 11(16), 11414-11424. https://doi.org/10.1002/ece3.7930

The question of what controls animal abundance has always been fundamental to ecology, but given rapid environmental change, understanding the drivers and mechanisms governing abundance is more important than ever. Here, we determine how multidimensi... Read More about Disentangling controls on animal abundance: Prey availability, thermal habitat, and microhabitat structure.

Detection of spatial and temporal patterns of liana infestation using satellite-derived imagery (2021)
Journal Article
Chandler, C. J., van der Heijden, G. M., Boyd, D. S., & Foody, G. M. (2021). Detection of spatial and temporal patterns of liana infestation using satellite-derived imagery. Remote Sensing, 13(14), 1-15. https://doi.org/10.3390/rs13142774

Lianas (woody vines) play a key role in tropical forest dynamics because of their strong influence on tree growth, mortality and regeneration. Assessing liana infestation over large areas is critical to understand the factors that drive their spatial... Read More about Detection of spatial and temporal patterns of liana infestation using satellite-derived imagery.

A Multi-Method Approach to Prioritize Locations of Labor Exploitation for Ground-Based Interventions (2021)
Journal Article
Kougkoulos, I., Cakir, M. S., Kunz, N., Boyd, D. S., Trautrims, A., Hatzinikolaou, K., & Gold, S. (2021). A Multi-Method Approach to Prioritize Locations of Labor Exploitation for Ground-Based Interventions. Production and Operations Management, 30(12), 4396-4411. https://doi.org/10.1111/poms.13496

Recent estimates suggest that more than 40 million people worldwide are in situations of modern slavery and other forms of labor exploitation. UN Sustainable Development Goal 8.7 addresses this problem and urges stakeholders to take effective measure... Read More about A Multi-Method Approach to Prioritize Locations of Labor Exploitation for Ground-Based Interventions.

Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space (2021)
Journal Article
Boyd, D. S., Perrat, B., Li, X., Jackson, B., Landman, T., Ling, F., …Foody, G. M. (2021). Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space. Humanities and Social Sciences Communications, 8, Article 111. https://doi.org/10.1057/s41599-021-00792-z

This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the exten... Read More about Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space.

Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record (2021)
Journal Article
Zhang, Y., Ling, F., Wang, X., Foody, G. M., Boyd, D. S., Li, X., …Atkinson, P. M. (2021). Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record. Remote Sensing of Environment, 261, Article 112470. https://doi.org/10.1016/j.rse.2021.112470

Information on forest disturbance is crucial for tropical forest management and global carbon cycle analysis. The long-term collection of data from the Landsat missions provides some of the most valuable information for understanding the processes of... Read More about Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record.

Growing evidence of the interconnections between modern slavery, environmental degradation, and climate change (2021)
Journal Article
Decker Sparks, J. L., Boyd, D. S., Jackson, B., Ives, C. D., & Bales, K. (2021). Growing evidence of the interconnections between modern slavery, environmental degradation, and climate change. One Earth, 4(2), 181-191. https://doi.org/10.1016/j.oneear.2021.01.015

The modern slavery–environmental degradation–climate change nexus may threaten the achievement of the Sustainable Development Goals (SDGs). Globally, approximately 12.2 million workers are entrapped in modern slavery in environmentally degrading acti... Read More about Growing evidence of the interconnections between modern slavery, environmental degradation, and climate change.

Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses (2021)
Journal Article
Chandler, C. J., Van Der Heijden, G. M. F., Boyd, D. S., Cutler, M. E. J., Costa, H., Nilus, R., & Foody, G. M. (2021). Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses. Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.197

The ability to accurately assess liana (woody vine) infestation at the landscape level is essential to quantify their impact on carbon dynamics and help inform targeted forest management and conservation action. Remote sensing techniques provide pote... Read More about Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses.

Investigating the potential of radar interferometry for monitoring rural artisanal cobalt mines in the democratic republic of the congo (2020)
Journal Article
Brown, C., Daniels, A., Boyd, D. S., Sowter, A., Foody, G., & Kara, S. (2020). Investigating the potential of radar interferometry for monitoring rural artisanal cobalt mines in the democratic republic of the congo. Sustainability, 12(23), Article 9834. https://doi.org/10.3390/su12239834

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Greater awareness of the serious human rights abuses associated with the extraction and trade of cobalt in the Democratic Republic of the Congo (DRC) has applied increasing pressure for busine... Read More about Investigating the potential of radar interferometry for monitoring rural artisanal cobalt mines in the democratic republic of the congo.

Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe (2020)
Journal Article
Jackson, B., Boyd, D. S., Ives, C. D., Decker Sparks, J. L., Foody, G. M., Marsh, S., & Bales, K. (2020). Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe. Maritime Studies, 19(4), 429–444. https://doi.org/10.1007/s40152-020-00199-7

© 2020, The Author(s). Land-based fish-processing activities in coastal fringe areas and their social-ecological impacts have often been overlooked by marine scientists and antislavery groups. Using remote sensing methods, the location and impacts of... Read More about Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe.

Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information (2020)
Journal Article
Ling, F., Li, X., Foody, G. M., Boyd, D., Ge, Y., Li, X., & Du, Y. (2020). Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information. ISPRS Journal of Photogrammetry and Remote Sensing, 168, 141-152. https://doi.org/10.1016/j.isprsjprs.2020.08.008

© 2020 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Information on the temporal variation of surface water area of reservoirs is fundamental for water resource management and is often monitored by satellite remote sensing... Read More about Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information.

Active restoration accelerates the carbon recovery of human-modified tropical forests (2020)
Journal Article
Philipson, C. D., Cutler, M. E. J., Brodrick, P. G., Asner, G. P., Boyd, D. S., Costa, P. M., …Burslem, D. F. R. P. (2020). Active restoration accelerates the carbon recovery of human-modified tropical forests. Science, 369(6505), 838-841. https://doi.org/10.1126/science.aay4490

More than half of all tropical forests are degraded by human impacts, leaving them threatened with conversion to agricultural plantations and risking substantial biodiversity and carbon losses. Restoration could accelerate recovery of aboveground car... Read More about Active restoration accelerates the carbon recovery of human-modified tropical forests.

Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales (2020)
Book Chapter
Schrodt, F., De La Barreda Bautista, B., Williams, C., Boyd, D. S., Schaepman-Strub, G., & Santos, M. J. (2020). Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales. In Remote Sensing of Plant Biodiversity (449-484). Springer. https://doi.org/10.1007/978-3-030-33157-3_17

© The Editor(s) (if applicable) and The Author(s) 2020. Assessing patterns and processes of plant functional, taxonomic, genetic, and structural biodiversity at large scales is essential across many disciplines, including ecosystem management, agricu... Read More about Integrating Biodiversity, Remote Sensing, and Auxiliary Information for the Study of Ecosystem Functioning and Conservation at Large Spatial Scales.

Community perception, adaptation and resilience to extreme weather in the Yucatan Peninsula, Mexico (2020)
Journal Article
Metcalfe, S. E., Schmook, B., De la Barreda-Bautista, B., Endfield, G., Mardero, S., Manzon Che, M., …Boyd, D. S. (2020). Community perception, adaptation and resilience to extreme weather in the Yucatan Peninsula, Mexico. Regional Environmental Change, 20(1), Article 25. https://doi.org/10.1007/s10113-020-01586-w

© 2020, The Author(s). Perceptions of climate change, the impacts of and responses to climatic variability and extreme weather are explored in three communities in the Yucatan Peninsula, Mexico, in relation to livelihood resilience. These communities... Read More about Community perception, adaptation and resilience to extreme weather in the Yucatan Peninsula, Mexico.

Understanding the co?occurrence of tree loss and modern slavery to improve efficacy of conservation actions and policies (2020)
Journal Article
Jackson, B., Decker Sparks, J. L., Brown, C., & Boyd, D. S. (2020). Understanding the co?occurrence of tree loss and modern slavery to improve efficacy of conservation actions and policies. Conservation Science and Practice, 2(5), https://doi.org/10.1111/csp2.183

Locations where populations are most reliant on forests and their ecosystem services for subsistence and development are also areas where modern slavery persists. These issues are noted within the Sustainable Development Goals (SDGs), both target 15.... Read More about Understanding the co?occurrence of tree loss and modern slavery to improve efficacy of conservation actions and policies.

Precipitation regionalization, anomalies and drought occurrence in the Yucatan Peninsula, Mexico (2020)
Journal Article
De la Barreda, B., Metcalfe, S. E., & Boyd, D. S. (2020). Precipitation regionalization, anomalies and drought occurrence in the Yucatan Peninsula, Mexico. International Journal of Climatology, 40(10), 4541-4555. https://doi.org/10.1002/joc.6474

© 2020 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society. Climate change projections have identified the Yucatan Peninsula as being vulnerable to increasing drought. U... Read More about Precipitation regionalization, anomalies and drought occurrence in the Yucatan Peninsula, Mexico.

Use of Surface Motion Characteristics Determined by InSAR to Assess Peatland Condition (2019)
Journal Article
Alshammari, L., Boyd, D. S., Sowter, A., Marshall, C., Andersen, R., Gilbert, P., …Large, D. J. (2020). Use of Surface Motion Characteristics Determined by InSAR to Assess Peatland Condition. Journal of Geophysical Research: Biogeosciences, 125(1), Article e2018JG004953. https://doi.org/10.1029/2018JG004953

Peatland surface motion is a key property of peatland that relates to condition. However, field?based techniques to measure surface motion are not cost?effective over large areas and long time periods. An alternative method that can quantify peatland... Read More about Use of Surface Motion Characteristics Determined by InSAR to Assess Peatland Condition.

SFSDAF: an enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion (2019)
Journal Article
Li, X., Foody, G. M., Boyd, D. S., Ge, Y., Zhang, Y., Du, Y., & Ling, F. (2020). SFSDAF: an enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion. Remote Sensing of Environment, 237, https://doi.org/10.1016/j.rse.2019.111537

Spatio-temporal image fusion methods have become a popular means to produce remotely sensed data sets that have both fine spatial and temporal resolution. Accurate prediction of reflectance change is difficult, especially when the change is caused by... Read More about SFSDAF: an enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion.

Night-time lights are more strongly related to urban building volume than to urban area (2019)
Journal Article
Shi, L., Foody, G. M., Boyd, D. S., Girindran, R., Wang, L., Du, Y., & Ling, F. (2020). Night-time lights are more strongly related to urban building volume than to urban area. Remote Sensing Letters, 11(1), 29-36. https://doi.org/10.1080/2150704X.2019.1682709

A strong relationship between night-time light (NTL) data and the areal extent of urbanized regions has been observed frequently. As urban regions have an important vertical dimension, it is hypothesized that the strength of the relationship with NTL... Read More about Night-time lights are more strongly related to urban building volume than to urban area.

Measuring River Wetted Width from Remotely Sensed Imagery at the Subpixel Scale with a Deep Convolutional Neural Network (2019)
Journal Article
Ling, F., Boyd, D., Ge, Y., Foody, G. M., Li, X., Wang, L., …Du, Y. (2019). Measuring River Wetted Width from Remotely Sensed Imagery at the Subpixel Scale with a Deep Convolutional Neural Network. Water Resources Research, 55(7), 5631-5649. https://doi.org/10.1029/2018wr024136

River wetted width (RWW) is an important variable in the study of river hydrological and biogeochemical processes. Presently, RWW is often measured from remotely sensed imagery and the accuracy of RWW estimation is typically low when coarse spatial r... Read More about Measuring River Wetted Width from Remotely Sensed Imagery at the Subpixel Scale with a Deep Convolutional Neural Network.

The World's Tallest Tropical Tree in Three Dimensions (2019)
Journal Article
Shenkin, A., Chandler, C. J., Boyd, D. S., Jackson, T., Disney, M., Majalap, N., …Malhi, Y. (2019). The World's Tallest Tropical Tree in Three Dimensions. Frontiers in Forests and Global Change, 2, 1-5. https://doi.org/10.3389/ffgc.2019.00032

Here we report the recent discovery of the world's tallest tropical tree (Shorea faguetiana), possibly the world's tallest angiosperm (flowering plant), located in the rainforests of Sabah, Malaysian Borneo. In addition, we provide a novel three-dime... Read More about The World's Tallest Tropical Tree in Three Dimensions.

Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE (2019)
Journal Article
Rosser, J. F., Long, G., Zakhary, S., Boyd, D. S., Mao, Y., & Robinson, D. (2019). Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE. ISPRS International Journal of Geo-Information, 8(4), Article 163. https://doi.org/10.3390/ijgi8040163

Understanding the energy demand of a city’s housing stock is an important focus for local and national administrations to identify strategies for reducing carbon emissions. Building energy simulation offers a promising approach to understand energy u... Read More about Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE.

Earth observation and machine learning to meet Sustainable Development Goal 8.7: mapping sites associated with slavery from space (2019)
Journal Article
Foody, G., Ling, F., Boyd, D., Li, X., & Wardlaw, J. (2019). Earth observation and machine learning to meet Sustainable Development Goal 8.7: mapping sites associated with slavery from space. Remote Sensing, 11(3), Article 266. https://doi.org/10.3390/rs11030266

A large proportion of the workforce in the brick kilns of the Brick Belt of Asia are modern-day slaves. Work to liberate slaves and contribute to UN Sustainable Development Goal 8.7 would benefit from maps showing the location of brick kilns. Previou... Read More about Earth observation and machine learning to meet Sustainable Development Goal 8.7: mapping sites associated with slavery from space.

Exploring temporality in socio-ecological resilience through experiences of the 2015/16 El Niño across the tropics (2019)
Journal Article
Whitfield, S., Beauchamp, E., Boyd, D. S., Burslem, D., Byg, A., Colledge, F., …White, P. C. (2019). Exploring temporality in socio-ecological resilience through experiences of the 2015/16 El Niño across the tropics. Global Environmental Change, 55, 1-14. https://doi.org/10.1016/j.gloenvcha.2019.01.004

In a context of both long-term climatic changes and short-term climatic shocks, temporal dynamics profoundly influence ecosystems and societies. In low income contexts in the Tropics, where both exposure and vulnerability to climatic fluctuations is... Read More about Exploring temporality in socio-ecological resilience through experiences of the 2015/16 El Niño across the tropics.

A view from above: Unmanned aerial vehicles (UAVs) provide a new tool for assessing liana infestation in tropical forest canopies (2019)
Journal Article
Waite, C. E., van der Heijden, G. M. F., Field, R., & Boyd, D. S. (2019). A view from above: Unmanned aerial vehicles (UAVs) provide a new tool for assessing liana infestation in tropical forest canopies. Journal of Applied Ecology, 56(4), 902-912. https://doi.org/10.1111/1365-2664.13318

1. Tropical forests store and sequester large quantities of carbon, mitigating climate change. Lianas (woody vines) are important tropical forest components, most conspicuous in the canopy. Lianas reduce forest carbon uptake and their recent incre... Read More about A view from above: Unmanned aerial vehicles (UAVs) provide a new tool for assessing liana infestation in tropical forest canopies.

Analysing Slavery through Satellite Technology: How Remote Sensing Could Revolutionise Data Collection to Help End Modern Slavery (2019)
Journal Article
Jackson, B., Bales, K., Owen, S., Wardlaw, J., & Boyd, D. S. (2019). Analysing Slavery through Satellite Technology: How Remote Sensing Could Revolutionise Data Collection to Help End Modern Slavery. Journal of Modern Slavery, 4(2), 169-199

An estimated 40.3 million people are enslaved globally across a range of industries. Whilst these industries are known, their scale can hinder the fight against slavery. Some industries using slave labour are visible in satellite imagery, including m... Read More about Analysing Slavery through Satellite Technology: How Remote Sensing Could Revolutionise Data Collection to Help End Modern Slavery.

Models of upland species’ distributions are improved by accounting for geodiversity (2018)
Journal Article
Bailey, J. J., Boyd, D. S., & Field, R. (2018). Models of upland species’ distributions are improved by accounting for geodiversity. Landscape Ecology, 33(12), 2071-2087. https://doi.org/10.1007/s10980-018-0723-z

Context: Recent research suggests that novel geodiversity data on landforms, hydrology and surface materials can improve biodiversity models at the landscape scale by quantifying abiotic variability more effectively than commonly used measures of spa... Read More about Models of upland species’ distributions are improved by accounting for geodiversity.

Predicting residential building age from map data (2018)
Journal Article
Rosser, J., Boyd, D., Long, G., Zakhary, S., Mao, Y., & Robinson, D. (2019). Predicting residential building age from map data. Computers, Environment and Urban Systems, 73, 56-67. https://doi.org/10.1016/j.compenvurbsys.2018.08.004

The age of a building influences its form and fabric composition and this in turn is critical to inferring its energy performance. However, often this data is unknown. In this paper, we present a methodology to automatically identify the construction... Read More about Predicting residential building age from map data.

Remote sensing restores predictability of ectotherm body temperature in the world’s forests (2018)
Journal Article
Algar, A. C., Morley, K., & Boyd, D. S. (2018). Remote sensing restores predictability of ectotherm body temperature in the world’s forests. Global Ecology and Biogeography, 27(12), 1412-1425. https://doi.org/10.1111/geb.12811

AIM: Rising global temperatures are predicted to increase ectotherms’ body temperatures, benefitting some species but threatening others. Biophysical models predict a key role for shade in buffering these effects, but the difficulty of measuring shad... Read More about Remote sensing restores predictability of ectotherm body temperature in the world’s forests.

Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland (2018)
Journal Article
Alshammari, L., Large, D. J., Boyd, D. S., Sowter, A., Anderson, R., Andersen, R., & Marsh, S. (2018). Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland. Remote Sensing, 10(7), Article 1103. https://doi.org/10.3390/rs10071103

Satellite Earth Observation (EO) is often used as a cost-effective method to report on the condition of remote and inaccessible peatland areas. Current EO techniques are primarily limited to reporting on the vegetation classes and properties of the i... Read More about Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland.

Refining area of occupancy to address the modifiable areal unit problem in ecology and conservation (2018)
Journal Article
Moat, J., Bachman, S. P., Field, R., & Boyd, D. S. (2018). Refining area of occupancy to address the modifiable areal unit problem in ecology and conservation. Conservation Biology, 32(6), 1278-1289. https://doi.org/10.1111/cobi.13139

© 2018 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology. The modifiable areal unit problem is prevalent across many aspects of spatial analysis within ecology and conservation. The p... Read More about Refining area of occupancy to address the modifiable areal unit problem in ecology and conservation.

Tropical peatland vegetation structure and biomass: optimal exploitation of airborne laser scanning (2018)
Journal Article
Brown, C., Boyd, D., Sjögersten, S., Clewley, D., Evers, S., & Aplin, P. (2018). Tropical peatland vegetation structure and biomass: optimal exploitation of airborne laser scanning. Remote Sensing, 10(5), Article 671. https://doi.org/10.3390/rs10050671

Accurate estimation of above ground biomass (AGB) is required to better understand the variability and dynamics of tropical peat swamp forest (PSF) ecosystem function and resilience to disturbance events. The objective of this work is to examine the... Read More about Tropical peatland vegetation structure and biomass: optimal exploitation of airborne laser scanning.

Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms (2018)
Journal Article
Beck, A., Long, G., Boyd, D. S., Rosser, J. F., Morley, J., Duffield, R., …Robinson, D. (2020). Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms. Environment and Planning B: Urban Analytics and City Science, 47(1), 45-64. https://doi.org/10.1177/2399808318762436

Estimating residential building energy use across large spatial extents is vital for identifying and testing effective strategies to reduce carbon emissions and improve urban sustainability. This task is underpinned by the availability of accurate mo... Read More about Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms.

Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8 (2018)
Journal Article
Boyd, D. S., Jackson, B., Wardlaw, J., Foody, G. M., Marsh, S., & Bales, K. (2018). Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8. ISPRS Journal of Photogrammetry and Remote Sensing, 142, 380-388. https://doi.org/10.1016/j.isprsjprs.2018.02.012

The most recent Global Slavery Index estimates that there are 40.3 million people enslaved globally. The UN’s Agenda 2030 for Sustainable Development Goal number 8, section 8.7 specifically refers to the issue of forced labour: ending modern slavery... Read More about Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8.

Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data (2018)
Journal Article
Foody, G., See, L., Fritz, S., Moorthy, I., Perger, C., Schill, C., & Boyd, D. (2018). Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data. ISPRS International Journal of Geo-Information, 7(3), https://doi.org/10.3390/ijgi7030080

Simple consensus methods are often used in crowdsourcing studies to label cases when data are provided by multiple contributors. A basic majority vote rule is often used. This approach weights the contributions from each contributor equally but the c... Read More about Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data.

Supervised methods of image segmentation accuracy assessment in land cover mapping (2017)
Journal Article
Costa, H., Foody, G. M., & Boyd, D. S. (2018). Supervised methods of image segmentation accuracy assessment in land cover mapping. Remote Sensing of Environment, 205, https://doi.org/10.1016/j.rse.2017.11.024

Land cover mapping via image classification is sometimes realized through object-based image analysis. Objects are typically constructed by partitioning imagery into spatially contiguous groups of pixels through image segmentation and used as the bas... Read More about Supervised methods of image segmentation accuracy assessment in land cover mapping.

Identifying species from the air: UAVs and the very high resolution challenge for plant conservation (2017)
Journal Article
Baena, S., Moat, J., Whaley, O., & Boyd, D. S. (2017). Identifying species from the air: UAVs and the very high resolution challenge for plant conservation. PLoS ONE, 12(11), Article e0188714. https://doi.org/10.1371/journal.pone.0188714

The Pacific Equatorial dry forest of Northern Peru is recognised for its unique endemic biodiversity. Although highly threatened the forest provides livelihoods and ecosystem services to local communities. As agro-industrial expansion and climatic va... Read More about Identifying species from the air: UAVs and the very high resolution challenge for plant conservation.

Modelling native and alien vascular plant species richness: at which scales is geodiversity most relevant? (2017)
Journal Article
Bailey, J. J., Boyd, D. S., Hjort, J., Lavers, C. P., & Field, R. (2017). Modelling native and alien vascular plant species richness: at which scales is geodiversity most relevant?. Global Ecology and Biogeography, 26(7), https://doi.org/10.1111/geb.12574

Aim: To explore the scale-dependency of relationships between novel geodiversity measures and 26 both native and alien vascular plant species richness. Location: Great Britain Time period: Data collected 1995-2015 Major taxa: Vascular plants Meth... Read More about Modelling native and alien vascular plant species richness: at which scales is geodiversity most relevant?.

Using mixed objects in the training of object-based image classifications (2017)
Journal Article
Costa, H., Foody, G. M., & Boyd, D. S. (2017). Using mixed objects in the training of object-based image classifications. Remote Sensing of Environment, 190, https://doi.org/10.1016/j.rse.2016.12.017

Image classification for thematic mapping is a very common application in remote sensing, which is sometimes realized through object-based image analysis. In these analyses, it is common for some of the objects to be mixed in their class composition... Read More about Using mixed objects in the training of object-based image classifications.

Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality (2015)
Journal Article
Foody, G. M., See, L., Fritz, S., van der Velde, M., Perger, C., Schill, C., …Comber, A. (2015). Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality. Cartographic Journal, 52(4), https://doi.org/10.1080/00087041.2015.1108658

Crowdsourcing is a popular means of acquiring data, but the use of such data is limited by concerns with its quality. This is evident within cartography and geographical sciences more generally, with the quality of volunteered geographic information... Read More about Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality.

Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images (2015)
Journal Article
Arellano, P., Tansey, K., Balzter, H., & Boyd, D. S. (2015). Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images. Environmental Pollution, 205, https://doi.org/10.1016/j.envpol.2015.05.041

The global demand for fossil energy is triggering oil exploration and production projects in remote areas of the world. During the last few decades hydrocarbon production has caused pollution in the Amazon forest inflicting considerable environmental... Read More about Detecting the effects of hydrocarbon pollution in the Amazon forest using hyperspectral satellite images.

Innovative technologies for terrestrial remote sensing (2015)
Journal Article
Aplin, P., & Boyd, D. S. (2015). Innovative technologies for terrestrial remote sensing. Remote Sensing, 7(4), https://doi.org/10.3390/rs70404968

[In lieu of abstract, extract from first page] Characterizing and monitoring terrestrial, or land, surface features, such as forests, deserts, and cities, are fundamental and continuing goals of Earth Observation (EO). EO imagery and related technol... Read More about Innovative technologies for terrestrial remote sensing.

Airborne LiDAR for the detection of archaeological vegetation marks using biomass as a proxy (2015)
Journal Article
Stott, D., Boyd, D. S., Beck, A., & Cohn, A. (2015). Airborne LiDAR for the detection of archaeological vegetation marks using biomass as a proxy. Remote Sensing, 7(2), https://doi.org/10.3390/rs70201594

In arable landscapes, the airborne detection of archaeological features is often reliant on using the properties of the vegetation cover as a proxy for sub-surface features in the soil. Under the right conditions, the formation of vegetation marks al... Read More about Airborne LiDAR for the detection of archaeological vegetation marks using biomass as a proxy.

Forest disturbance and regeneration: a mosaic of discrete gap dynamics and open matrix regimes? (2014)
Journal Article
Blackburn, G. A., Abd Latif, Z., & Boyd, D. S. (2014). Forest disturbance and regeneration: a mosaic of discrete gap dynamics and open matrix regimes?. Journal of Vegetation Science, 25(6), https://doi.org/10.1111/jvs.12201

Question: Recent research in boreal forest suggests that an ‘open matrix’ model may be more appropriate than the traditional model of spatially discrete gap dynamics for describing forest disturbance and regeneration, but what is the evidence from te... Read More about Forest disturbance and regeneration: a mosaic of discrete gap dynamics and open matrix regimes?.

Size and frequency of natural forest disturbances and the Amazon forest carbon balance (2014)
Journal Article
Espírito-Santo, F. D., Gloor, M., Keller, M., Malhi, Y., Saatchi, S., Nelson, B., …Phillips, O. L. (2014). Size and frequency of natural forest disturbances and the Amazon forest carbon balance. Nature Communications, 5, Article e3434. https://doi.org/10.1038/ncomms4434

Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize the frequency distribution of disturb... Read More about Size and frequency of natural forest disturbances and the Amazon forest carbon balance.

Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project (2013)
Journal Article
Foody, G. M., See, L., Fritz, S., Van der Velde, M., Perger, C., Schill, C., & Boyd, D. (2013). Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project. Transactions in GIS, 17(6), 847-860. https://doi.org/10.1111/tgis.12033

The recent rise of neogeography and citizen sensing has increased the opportunities for the use of crowdsourcing as a means to acquire data to support geographical research. The value of the resulting volunteered geographic information is, however, o... Read More about Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project.

An overview of recent remote sensing and GIS based research in ecological informatics (2011)
Journal Article
Boyd, D. S., & Foody, G. M. (2011). An overview of recent remote sensing and GIS based research in ecological informatics. Ecological Informatics, 6(1), https://doi.org/10.1016/j.ecoinf.2010.07.007

This article provides an overview of some of the recent research in ecological informatics involving remote sensing and GIS. Attention focuses on a selected range of issues including topics such as the nature of remote sensing data sets, issues of ac... Read More about An overview of recent remote sensing and GIS based research in ecological informatics.

One-class classification for monitoring a specific land cover class: SVDD classification of fenland (2007)
Journal Article
Sanchez-Hernandez, C., Boyd, D. S., & Foody, G. M. (2007). One-class classification for monitoring a specific land cover class: SVDD classification of fenland. IEEE Transactions on Geoscience and Remote Sensing, 45(4), https://doi.org/10.1109/TGRS.2006.890414

Remote sensing is a major source of land cover information. Commonly, interest focuses on a single land cover class. Although a conventional multi-class classifier may be used to provide a map depicting the class of interest the analysis is not focus... Read More about One-class classification for monitoring a specific land cover class: SVDD classification of fenland.