All Outputs (61)

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.

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.

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.

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., Sanderson, M., & 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.

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.

Integrating user needs on misclassification error sensitivity into image segmentation quality assessment (2015)
Journal Article

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.