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All Outputs (9)

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.