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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.