Skip to main content

Research Repository

Advanced Search

DOREEN BOYD's Outputs (61)

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.

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.

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.

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, Article 111537. 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.

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.