For those who were not present at GISRUK 2018 this year in Leicester we are delighted to announce that we are hosting GISRUK (GIS Research UK) in April 2019! And for those that were at Leicester, what follows is a reminder about some of the key details.
The conference will be between 23 – 26th April, and will be hosted in the new Urban Sciences Building, one of the most (if not the most) sensored buildings in the UK. The conference theme has already been decided, and will be ‘From Data to Decisions’. More details about this, the programme, abstract submission process and registration will be announced in September.
We have also been busy organising the social events, from the conference reception to the conference dinner, and again we will announce more details about these soon.
Our website will be going live in September, but in the mean time please follow @GISRUK on twitter for the latest announcements, follow #GISRUK2019 or follow us at @GeospatialNCL. To get in contact with any queries email us at GISRUK2019@newcastle.ac.uk or contact us on twitter.
We look forward to hopefully seeing many of you hear next year!
On Tuesday Polpreecha Chidburee successfully passed his viva for his thesis entitled “Landslide monitoring using mobile device and cloud-based photogrammetry” (subject to minor revisions). Professor Phil Moore (internal) and Professor Jim Chandler (external, Loughborough University) were the two examiners. Polpreecha is now returning to Thailand to take up a lectureship position at Naresuan University. Well done and good luck in the future!
Landslides are one of the most commonly occurring natural disasters that can cause a serious threat to human life and society, in addition to significant economic loss. Investigation and monitoring of landslides are important tasks in geotechnical engineering in order to mitigate the hazards created by such phenomena. However, current geomatics approaches used for precise landslide monitoring are largely inappropriate for initial assessment by an engineer over small areas due to the labour-intensive and costly methods often adopted. Therefore, the development of a cost-effective landslide monitoring system for real-time on-site investigation is essential to aid initial geotechnical interpretation and assessment.
In this research, close-range photogrammetric techniques using imagery from a mobile device camera (e.g. a modern smartphone) were investigated as a low-cost, non-contact monitoring approach to on-site landslide investigation. The developed system was implemented on a mobile platform with cloud computing technology to enable the potential for real-time processing. The system comprised the front-end service of a mobile application controlled by the operator and a back-end service employed for photogrammetric measurement and landslide monitoring analysis. In terms of the back-end service, Structure-from-Motion (SfM) photogrammetry was implemented to provide fully-automated processing to offer user-friendliness to non-experts. This was integrated with developed functions that were used to enhance the processing performance and deliver appropriate photogrammetric results for assessing landslide deformations. In order to implement this system with a real-time response, the cloud-based system required data transfer using Internet services via a modern 4G/5G network. Furthermore, the relationship between the number of images and image size was investigated to optimise data processing.
The potential of the developed system for monitoring landslides was investigated at two different real-world UK sites, comprising a natural earth-flow landslide and coastal cliff erosion. These investigations demonstrated that the cloud-based photogrammetric measurement system was capable of providing three-dimensional results to sub-decimetre-level accuracy. The results of the initial assessments for on-site investigation could be effectively presented on the mobile device through visualisation and/or statistical quantification of the landslide changes at a local-scale.
We are now looking for applications for our available fully funded PhD studentships with the DREAM CDT (Centre for Doctoral Training). DREAM, Data, Risk and Environmental Analytical Methods, is a partnership between four leading universities based within the UK, Cranfield, Newcastle, Cambridge and Birmingham, and is now into its 3rd year. The CDT focuses on the use of big data to solve environmental risks, with topics covering a wide field of research. All PhD students have a wealth of training opportunities available to them as well as regular networking opportunities with those based at the other partner universities.
Newcastle are looking for applicants interested in any of the PhD’s listed below, with anyone interested asked to contact Dr Stuart Barr.
Massive multi-agent simulation of environmental risks to interdependent infrastructure
Environmental risks to global resource flows
High resolution modelling of real-world floods – models, forecasts and uncertainties
Extreme rainfall forecasting: new statistical simulation and Big Data methods for making sense of rainfall radar and rain gauges
Capturing Tsunamis and Storm Surges: Coupling the Human and Natural Systems through Games Technology
Earth observation for UK-wide flood infrastructure risk management
Preserving Privacy for Urban Data in the Internet of Things
Big data real-time online analysis of urban flooding impact on traffic flows
Improving decision making in hazard situations using geovisualisation
Can citizen science observations improve real-time flood risk assessment – bringing the crowd to the cloud?
More information on these PhD’s are available on the DREAM website, where you can also find more details on the CDT and how to apply.
We have funding available for a number of PhD’s in the area of big data, risk and environmental analysis, with a start date no later than March 2017. The funding is available through the DREAM CDT (http://www.dream-cdt.ac.uk/), offering students access to world leading research teams and a large selection of training and development opportunities. This funding comes with the freedom to devise your very own reaserch project with the aid of experts from a range of fields who will help guide and support you from the developemnt of the project to the completion of the PhD.
For more information on taking up a PhD with the DREAM CDT, please contact Stuart Barr (firstname.lastname@example.org).
A new job opportunity has arisen for a researcher (assistant/associate) for a 24month position working within our group. The position is tied to the recently awarded multi-million pound ITRC MISTRAL programme grant, a joint project between seven UK based universities, investigating the future of national infrastructure. The appointed person will work on the development of a building classification model for the entire UK, working primarily with Ordnance Survey data. In collaboration with other MISTRAL researchers demographic and economic profiles will then be assigned to buildings providing data to be employed across infrastructure models developed across the consortium.
We are pleased to announce that we have a new four year fully funded PhD studentship available in spatial data modelling with BIM/GIS. Proposed to start in September 2016, the PhD will aim to develop tools for modelling and understanding flows across a city; from the broad city-scale to within individual buildings. Funded by EPSRC, the PhD is a partnership between ourselves at Newcastle University (the Geomaticts group in the School of Civil Engineering and Geosciences) and Ordnance Survey, and affiliated with the EPSRC funded ITRC-MISTRAL programme.
For more details on the PhD including how to apply, please see here.
At the end of May Stuart Barr attended the launch of the ITRC (Infrastructure Transitions Research Consortium) MISTRAL (Multi-Scale Infrastructure Systems Analytics) programme, an EPSRC funded 5year programme between seven universities, including ourselves, with Stuart being one of the co-investigators. Hosted at the ICE (Institute of Civil Engineers) in London, the event presented the vision and ideas behind the new programme, the next step in infrastructure systems-of-systems analysis research following the completion of the previously funded ITRC programme. Attended by over 150 people, including representatives from academia, private sector businesses and public sector organisations, the event included speeches from Professor Jim Hall, the lead investigator on the ITRC MISTRAL project, Lord Adonis, chair of the National Infrastructure Commission and Keith Clarke, the ICE vice president. A question and answer session then followed providing the opportunity for the attendees to find out more about the ITRC MISTRAL project from the key persons involved, including Stuart.
A video has since been released including snippets from some of the speakers, providing an insight into the work which will be undertaken in the ITRC MISTRAL project and the important role it can play in the future of infrastructure systems.
In the latest issue of GeoConnexion UK a short article, written by Stuart Barr and Craig Robson, details the ongoing work they are doing to develop the UK’s first national infrastructure database. Over the course of the 5 year ESPRC funded ITRC MISTRAL programme, by 2020 a national infrastructure portal will be developed as a resource that will be open to those across academia and industry as well as policy makers. This will provide access to infrastructure datasets and simulation and modelling results, including those from the already completed ITRC project, such as the results from the first national infrastructure long term planning tool. Some of the software developed and employed in the analysis undertaken will also be available under open licenses allowing the research to continue beyond the life of the ITRC MISTRAL project.
Last week our latest paper was published entitled ‘Assessing urban strategies for reducing the impacts of extreme weather on infrastructure networks’ in the Royal Socities Open Science journal. Alistair Ford, Craig Robson and Stuart Barr all contributed to the artical alongside colleagues from civil engineering, Maria Pregnolato (lead authour), Vassilis Glenis and Richard Dawson. A summary is given below.
“A framework for assessing the disruption from flood events to transport systems is presented that couples a high-resolution urban flood model with transport modelling and network analytics to assess the impacts of extreme rainfall events, and to quantify the resilience value of different adaptation options. A case study in Newcastle upon Tyne in the UK is presented and shows that both green roof infrastructure and traditional engineering interventions such as culverts or flood walls can reduce transport disruption from flooding.The magnitude of these benefits depends on the flood event and adaptation strategy, but for the scenarios considered here 3–22% improvements in city-wide travel times are achieved.
Both options should form part of an urban flood risk management strategy, but this method can be used to optimize investment and target limited resources at critical locations, enabling green infrastructure strategies to be gradually implemented over the longer term to provide city-wide benefits. This framework provides a means of prioritizing limited financial resources to improve resilience. By capturing the value to the transport network from flood management interventions, it is possible to create new business models that provide benefits to, and enhance the resilience of, both transport and flood risk management infrastructures.”