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LAC2018

 

Landscape Archaeology Conference 2018

We are inviting scholars and professionals to submit an abstract for our accepted remote sensing and archaeology session for LAC 2018 (Landscape Archaeology Conference) to be held in Newcastle and Durham, September 17th-20th. This year, the Remote Sensing and Photogrammetry Society’s Archaeology group is collaborating with LAC to highlight the significant interdisciplinary research occurring between these subjects

 

Abstract:  REMOTE SENSING IN LANDSCAPE ARCHAEOLOGY RESEARCH

Session chairs: Dr Louise Rayne (University of Leicester), Dr Chris Brooke (University of Nottingham) and Professor Danny Donoghue (University of Durham)

This session assesses the status of remote sensing applications in landscape archaeology and explores how their use could have a more significant impact on archaeological research and cultural heritage protection in future. It is organised in conjunction with the Remote Sensing and Photogrammetry Society (RSPSoc), which has an Archaeology Special Interest Group. Remote sensing and GIS have rapidly been adopted by archaeologists for several key reasons: fast mapping of entire landscapes, analysis of large datasets, and a way of recording features in areas rendered inaccessible, for example in areas affected by current conflict and by land-use change. In recent years many image interpretation-based studies, classifications and automated detection projects (and thermal imaging, photogrammetry, lidar, SAR [Synthetic Aperture Radar] and the relatively low-cost and user-friendly sfm [‘structure-from-motion]) software packages) have been applied to cultural heritage protection as well as recording and analysis. Applications have also sought to demonstrate the use of remote sensing for specific regions, sites, buildings and even objects. The value of many of the products of these analyses needs to be established more robustly, however, reflecting on the need for them to enhance our understanding of past landscapes rather than primarily acting as aesthetically-pleasing visualisations. While many archaeological projects rely exclusively on trained expertise in remote sensing, others are also making use of citizen scientists to build larger datasets. This session will present a number of relevant remote sensing tools and case studies across a wide temporal and spatial range and assess the impact of an increasingly open-source research environment.  The session will also promote a discussion of how the impact of remote sensing and GIS techniques on landscape archaeology and cultural heritage can be increased.

Announcement: please click here to see the 2nd announcement

Abstracts: can be submitted via http://www.ncl.ac.uk/mccordcentre/lac2018/ with a deadline of the 15th April

Contact details: Please get in touch with us at This email address is being protected from spambots. You need JavaScript enabled to view it. if you have any questions and/or would like to be added to the RSPSoc Archaeology mailing list


 

Workshop: Introduction to Field Spectroscopy

 

Introduction to Field Spectroscopy Workshop

The workshop is running in Edinburgh from 30th April to 2nd May and will cover everything from taking ground measurements to scaling data to UAV, airborne and satellite remote sensing.

The aim of the workshop is to provide an introduction to the instrumentation, techniques and best practice in field spectroscopy (FS). The role of FS as a primary research technique and its use to support EO remote sensing will also be covered. Drawing on the resources held by the NERC Field Spectroscopy Facility, the course is designed to better equip users with the skills and know-how to improve applications for support, measurements made in the field and the analysis of the data.

The course will be of interest to first year PhD students or post-doctoral researchers embarking on research projects where the use of FS instruments and data are planned. It will also be of benefit to members of the remote sensing community using UAV, NERC Airborne Research Facility or satellite image products, whether multi-or hyperspectral.

It is free to attend for UK PhD students and academics. Participants will need to fund their own travel and accommodation during their stay in Edinburgh.

Further details:http://fsf.nerc.ac.uk/IFS%20flyer%202018.pdf

Location: Edinburgh

To apply: This email address is being protected from spambots. You need JavaScript enabled to view it. with the subject line: "2018 Introduction to Field Spectroscopy Course" and include a sentence about your research interests within field spectroscopy or remote sensing.

 


Job Opportunity: Research and Innovation Scientist in Computer Vision at Ordnance Survey

 

Ordnance Survey are currently advertising for a Research and Innovation Scientist in Computer Vision


Ordnance Survey (OS) is the national mapping agency for Great Britain, and a world-leading geospatial data and technology organisation. Serving government, business and citizens across Britain and the world, OS helps customers in virtually all sectors improve quality of life.

OS expertise and data supports efficient public services and infrastructure, new technologies in transport and communications, national security and emergency services. And most famously we ensure outdoor leisure is enjoyable, accessible and safe. By being at the forefront of geospatial capability for more than 225 years, we’ve built a reputation for being the world’s most trusted and inspiring geospatial partner.

OS is progressing a number of exciting projects so customers can access data in a highly sophisticated way. Through innovative use of latest technologies OS has the potential and opportunity to significantly improve the lives of millions of people across the globe. This is a unique opportunity to be a part of OS as we deliver the best for Britain, grow revenues more widely and build a world-leading digital economy of the future.

 

About the Role

Business Change & Innovation is seeking a Research & Innovation Scientist to investigate and develop novel approaches to the capture and enhancement of geospatial data. The primary focus of the role is to apply state-of-the-art research in fields such as computer vision, spatial data mining, GIS & remote sensing, cloud computing, 3D data manipulation and crowdsourcing, to enhance our geospatial offering and to deliver operational efficiencies.

The role is within an energetic, multidisciplinary team and you will be working on one or more projects with ambitious goals. Your focus will be on long term transformation of the business’s operational function whilst also delivering on short-term objectives. In addition to research and development, an important aspect of this role is the enthusiastic promotion of the team’s activity to gain the support of our many stakeholders.

Further details: https://ordnancesurvey.csod.com/ats/careersite/JobDetails.aspx?site=1&id=637

Location: This role will be based at our Headquarters in Southampton.

 

To apply: Please upload your covering letter and CV demonstrating your suitability for the role.

 

Closing date: 03 April 2018


Job Opportunity: Research and Innovation Scientist in the field of Computer Vision at Ordnance Survey

 

Ordnance Survey are currently advertising for a Research and Innovation Scientist in Computer Vision


Ordnance Survey (OS) is the national mapping agency for Great Britain, and a world-leading geospatial data and technology organisation. Serving government, business and citizens across Britain and the world, OS helps customers in virtually all sectors improve quality of life.

OS expertise and data supports efficient public services and infrastructure, new technologies in transport and communications, national security and emergency services. And most famously we ensure outdoor leisure is enjoyable, accessible and safe. By being at the forefront of geospatial capability for more than 225 years, we’ve built a reputation for being the world’s most trusted and inspiring geospatial partner.

OS is progressing a number of exciting projects so customers can access data in a highly sophisticated way. Through innovative use of latest technologies OS has the potential and opportunity to significantly improve the lives of millions of people across the globe. This is a unique opportunity to be a part of OS as we deliver the best for Britain, grow revenues more widely and build a world-leading digital economy of the future.

 

About the Role

Business Change & Innovation is seeking a Research & Innovation Scientist to investigate and develop novel approaches to the capture and enhancement of geospatial data. The primary focus of the role is to apply state-of-the-art research in fields such as computer vision, spatial data mining, GIS & remote sensing, cloud computing, 3D data manipulation and crowdsourcing, to enhance our geospatial offering and to deliver operational efficiencies.

The role is within an energetic, multidisciplinary team and you will be working on one or more projects with ambitious goals. Your focus will be on long term transformation of the business’s operational function whilst also delivering on short-term objectives. In addition to research and development, an important aspect of this role is the enthusiastic promotion of the team’s activity to gain the support of our many stakeholders.

Further details: https://ordnancesurvey.csod.com/ats/careersite/JobDetails.aspx?site=1&id=637

Location: This role will be based at our Headquarters in Southampton.

 

To apply: Please upload your covering letter and CV demonstrating your suitability for the role.

 

Closing date: 03 April 2018


Job Opportunity: Space Data Policy Manager at UK Space Agency

 

The UK Space Agency is seeking to recruit enthusiastic, top talent to lead the development of Satellite Earth Observation data policy and its data infrastructure strategy.

This is an exciting opportunity to join the UK Space Agency just as the UK is taking the leading role in the European Space Agency's (ESA) Earth Observation programmes, negotiating its future relationship with the EU and building bilateral missions. The post holder will join a dynamic team and quickly build responsibilities to work within the Agency, with UK and international industry and academia. The post holder will provide a vital role in the EO team as it looks to shape the future of earth observation domestically and globally and as it delivers cutting edge research and technology.

Location: Ideally Swindon, South west, SN2 1SZ or City of Westminster, London, SW1H 0ET. Whilst the post may be based in London, a Westminster based post would be required to attend UK Space Agency Headquarters in Swindon frequently where the majority of the Earth Observation team is based.

For further information about the role please read the UK Space Agency advertisement


 

PhD studentships - Graduate Teaching Assistant scheme - Edge Hill University

Two specific projects are advertised below, though candidates are also welcome to propose other topics in the field of remote sensing.

For further information, see https://jobs.edgehill.ac.uk/vacancy.aspx?ref=EHGT157-0118.

Informal enquiries should be directed to Professor Paul Aplin (This email address is being protected from spambots. You need JavaScript enabled to view it.).

Investigating anthropogenic impacts on coastal dune evolution using airborne lidar and hyperspectral image data 

Supervisors: Professor Paul Aplin, Dr Irene Delgado-Fernandez

Coastal dune fields form a natural defence against flooding and coastal erosion, a defensive role that becomes more vital with predictions of significant sea-level rise throughout the 21st century. Sand dunes, though, are notoriously dynamic phenomena – constantly shifting position, size and shape in response to environmental, and anthropogenic, pressures – and we lack basic knowledge about how they evolve over time. This project aims to map, model and monitor Sefton Coast SAC, the largest dune field in England, investigating how dune evolution relates to natural and human processes. The research will be conducted as part of a 2018 NERC Airborne Research Facility data grant, providing airborne lidar and hyperspectral image data. Lidar data will be acquired to generate detailed 3D representation of the dune field, and this will be compared against a rich set of recent lidar acquisitions by the Environment Agency, enabling temporal analysis of dune morphology since 1999. Hyperspectral imagery will be acquired to classify vegetation and other land cover over the dune field, indicating how factors such as distance from coast, position on/in dune and proximity to human development influence vegetation cover. Lidar and hyperspectral data outputs will then be combined to drive predictive roughness modelling of dune evolution. Finally, dune morphology will be compared against environmental and anthropogenic impacts to start to unpick the causes of dune evolution over time. 

Spatio-temporal resilience of high-value grazing lawns against broader land cover change in southern Africa savannahs 

Supervisors: Professor Paul Aplin, Dr Chris Marston

Savannah ecosystems encompass one fifth of the terrestrial landscape worldwide. In many southern African savannahs, isolated grassy patches occur within tree-dominated landscapes, and these grassy patches are of great importance for herbivores such as impala (Aepyceros melampus), wildebeest (Connochaetes taurinus), zebra (Equusburchellii), and white rhino (Ceratotherium simum). ‘Grazing lawns’ are highlyutilized grassland patches with nutrient-dense, palatable plants which attract herbivores in high numbers, and represent key food resource areas. Researchers are beginning to understand the significance of grazing lawns as a functioning resource within savannah ecosystems, but less is known about the dynamic nature of lawns over space and time.  More importantly, we lack a robust, broad-scale mechanism for identifying and characterizing grazing lawns which would enable investigation of the structural differences between grazing lawns and surrounding areas, and the resilience of grazing lawns to broader landscape change. A better characterisation of grazing lawns is essential to elucidate the mechanisms driving lawn origins and maintenance to better predict how they may respond to future impacts such as climate change, exotic species invasions, and the broader-level landscape change and ‘scrubbing up’ currently observed across regions of Africa. Here, we propose to use high resolution satellite imagery to map and characterise grazing lawns, quantify the spatial structure of lawns and surrounding areas, and monitor the changing distribution of these lawns with potential implications for large herbivore species. 

 

Google Earth Engine Workshops

 

Information on the next round of Google Earth Engine Workshops is now available via the following links:

 

Each of these dates will include an EE-101 session suitable for new users and a separate session for advanced users. 

Signup is required (via the links above).  Confirmation notices will be sent out a a week or so before each workshop.

 

DGI 2018 - 22-24 January 2018

DGI 2018

22-24 January | London, UK

DGI 2018 has now launched registrations for their event in London and are offering an early-bird rate to attend 2 or all 3 events days.

DGI is the Europe’s best attended and biggest  GEOINT event in Europe that welcomes over 600 senior  geospatial and imagery experts from NATO nations, partner nations and industry.

 

At DGI 2018 we will have new senior speakers to reflect the changes in the leadership of the key nations, such as Major General Linda R. Urrutia-Varhall, Director of Operations, National Geospatial-Intelligence Agency; Chris Symonds, Principal, Royal School of Military Survey, UK MoD; Lt Colonel Damon Taylor, Director, Geospatial Intelligence, New Zealand Defence Forces and Bret Rogers, Branch Head, Geospatial Analysis, Marine Corps Intelligence Activity, US Marine Corps.

 

To mark the 15-year anniversary of the event, DGI 2018 have chosen the new venue at Royal Lancaster Hotel London. It has one floor that allows for better interactivity, intimacy and privacy and offers a great hotel-quality customer service

 

DGI 2018 have also designed a New Focus Day on Jan 22 as well as new themes for the Main Day 1 and Main Day 2 of the event:

 

Jan 22 – Future of Geospatial Data where DGI 2018 will address Creating Single Intelligence Environment and Exploiting Open Sources, and will have 2 tracks on Future of Sourcing and Future of Analysis

Main Day 1 (Jan 23): Dedicated to Extracting New Insights from Your Geospatial Data and addressing Leveraging Cognitive Analytics and will find out how in the next 3 years NGA will automate 75% of analysis! There will also be designed separate tracks on GIS Modernisation, Defence Commercial Partnerships and Imagery Collection Innovation

Main Day 2 (Jan 24): Geospatial Intelligence in Operations and Threats to Regional Security

  • Track A - GeoInt support to Regional Conflicts
  • Track B - Interoperability and Inter-Agency Cooperation
  • Track C – Humanitarian and Disaster Relief
  • Track D - National Resilience

For full DGI 2018 Programme see here: AGENDA

Price to attend: Academics: £699+VAT | Military/Government: £1699+VAT / £1799+VAT (after 16th December)

If you wish to attend please fill in this FORM and send to This email address is being protected from spambots. You need JavaScript enabled to view it.

 


 

EO Specialist vacancy at Ordnance Survey

Ordnance Survey (OS) is the national mapping agency for Great Britain, and a world-leading geospatial data and technology organisation. Serving government, business and citizens across Britain and the world, OS helps customers in virtually all sectors improve quality of life.

OS expertise and data supports efficient public services and infrastructure, new technologies in transport and communications, national security and emergency services. And most famously we ensure outdoor leisure is enjoyable, accessible and safe. By being at the forefront of geospatial capability for more than 225 years, we’ve built a reputation for being the world’s most trusted and inspiring geospatial partner. 

OS is progressing a number of exciting projects so customers can access data in a highly sophisticated way. Through innovative use of latest technologies OS has the potential and opportunity to significantly improve the lives of millions of people across the globe. This is a unique opportunity to be a part of OS as we deliver the best for Britain, grow revenues more widely and build a world-leading digital economy of the future.

About the Role

OS’s Business Change & Innovation Group is seeking an Earth Observation Specialist to investigate and develop novel approaches to the capture and enhancement of geospatial data. The primary focus of the role is to work as part of a team on the design and development of Earth Observation(EO) enabled content and services, to grow OS existing EO capability, and to lead and deliver satellite EO projects for UK and international customers.

The role is within an energetic, multidisciplinary team and you will be working on one or more projects with ambitious goals. Your focus will be on long term transformation of the business’s operational function whilst also delivering on short-term objectives. In addition to research and development, an important aspect of this role is the enthusiastic promotion of the team’s activity to gain the support of our many stakeholders. Key accountabilities include: 

  • Leading and delivering satellite EO projects for UK and international customers.
  • Key role in shaping and developing OS’s satellite EO capability at OS
  • Working with clients to understand requirements and to help design a service which meets client needs
  • Providing EO related technical and strategic guidance to OS  

For more information, visit:

https://ordnancesurvey.csod.com/ats/careersite/search.aspx?site=5

 

 

PhD Studentship in ‘Multi-source remote sensing for enhanced flood modelling’

 

3.5 year studentship commencing September 2018, jointly funded between Newcastle University and The James Hutton Institute.

For more details: www.findaphd.com/search/ProjectDetails.aspx?PJID=91677

Application deadline: 5th January 2018

Project Description

Flooding is a major societal challenge with significant direct and indirect impacts. Hydrodynamic models are important for accurately modelling floods and understanding adaptations required to improve resilience. These models require topographic data defining the channel and floodplain. Currently, this is assembled through relatively sparse measurements from cross-sections and walk-over surveys. However, emerging remote sensing techniques are of increasing relevance and offer a non-contact means of deriving detailed topography and other key variables related to hydromorphological characterisation (e.g. pool-riffle sequences, gravel bars, riparian vegetation). Unmanned aerial vehicles (UAVs or drones), in combination with compact digital cameras, can deliver high resolution digital elevation models (DEMs) and orthoimagery, which offer a flexible and low-cost approach for reach-scale characterisation. Furthermore, recent developments in airborne laser scanning (lidar) enable remote measurement of river bathymetry and water depth, with huge potential for seamless mapping of fluvial topography. However, there remain significant challenges in intelligent extraction of relevant variables, requiring development of enhanced segmentation algorithms and adoption of big data analytics approaches. This project will collect UAV imagery at an existing test site, and integrate this with bathymetric lidar for reach-scale characterisation of key variables for flood modelling, addressing the identified challenges, and integrating the outputs within an existing hydrodynamic model.

For further details please contact Dr Pauline Miller (This email address is being protected from spambots. You need JavaScript enabled to view it.)  

 

2011. Remote Sensing & Photogrammetry Society
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