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RAC Data Day

Anthony (Ant) Beck
Twitter: AntArch
RAC, Cirencester – 14th February 2012



School of Computing
Faculty of Engineering
Overview

•To give you a quick overview of DART
•To describe our data
•To make this data available to you
•To describe how you can use this data
Overview


There is no need to take notes:
Slides –
Text –
http://dl.dropbox.com/u/393477/MindMaps/StandAloneJS/Dat
aDayAtRAC.html
There is every need to ask questions
DART

www.dartproject.info


Aiming to improve the science underpining the detection of
subsurface archaeological features
Archaeological Prospection
What is the basis for detection
Archaeological Prospection
 What is the basis for detection
                            Micro-Topographic variations
                            Soil Marks
                              • variation in mineralogy and
                                moisture properties
                            Differential Crop Marks
                              • constraint on root depth and
                                moisture availability changing
                                crop stress/vigour
                            Proxy Thaw Marks
                              • Exploitation of different thermal
                                capacities of objects expressed
                                in the visual component as
                                thaw marks
Now you see me
        dont
Why DART? ‘Things’ are not well understood

Environmental processes
Sensor responses (particularly new
sensors)
Constraining factors (soil, crops etc.)
Bias and spatial variability
Techniques are scaling!
• Geophysics!
IMPACTS ON
• Deployment
• Management
Why DART? Precision agriculture
Why DART? Precision agriculture
Why DART? Traditional AP exemplar
Why DART? Traditional AP exemplar
Why DART? Traditional AP exemplar


Significant bias in its application
• in the environmental areas where it is
  productive (for example clay
  environments tend not to be
  responsive)
• Surveys don’t tend to be systematic
• Interpretation tends to be more art
  than science
What do we do about this?

Go back to first principles:
• Understand the phenomena
• Understand the sensor
  characteristics
• Understand the relationship
  between the sensor and the
  phenomena
• Understand the processes better
• Understand when to apply
  techniques
What do we do about this? Understand the
phenomena

How does the object generate an
observable contrast to it's local
matrix?
• Physical
• Chemical
• Biological
• etc
Are the contrasts permanent or
transitory?
What do we do about this? Understand the
phenomena

If transitory why are they
occurring?
• Is it changes in?
  • Soil type
  • Land management
  • Soil moisture
  • Temperature
  • Nutrient availability
  • Crop type
  • Crop growth stage
What do we do about this? Understand the
relationship between the sensor and the phenomena
What do we do about this? Understand the
relationship between the sensor and the phenomena
DART at the RAC

Insert map here
DART


                               ERT
                                     Ditch
                     Rob Fry
       B’ham TDR


                     Imco TDR




       Spectro-radiometry transect
DART: Probe Arrays
LiDAR
LiDAR
Aerial Imaging
Aerial Imaging
Geophysics

Earth Resistance
Electrical Resistance Tomography (ERT)
Earth Magnetics
GPR
Geophysics
Data

All held on a hard-drive
  Subset of the full research data we will make the rest of this available through
the server
It contains
  Raw data
  Processed data
  Metadata
Formats
  Standard interoperable formats
Licences
  These are not complete
  Most data will be made available under an open re-use licence (see server)
     Creative Commons
     GPL
Server (in the near future)

The full project archive will be available from the server
  Raw Data
  Processed Data
  Web Services
Will also include
  TDR data
  Weather data
  Subsurface temperature data
  Soil analyses
  spectro-radiometry transects
  Crop analyses
  Excavation data
  In-situ photos
Software

Software
  Proprietary
    You will know what this is so I wont talk about it
  Open Source
    QGIS http://www.qgis.org/
      Opticks
http://opticks.org/confluence/display/opticks/Welcome+To+Opticks
    GRASS http://grass.fbk.eu/
    The OSGeo Virtual Machine http://live.osgeo.org/en/index.html
    Snuffler http://www.sussexarch.org.uk/geophys/snuffler.html
Why are we doing this – spreading the love
Why are we doing this – it’s the right thing to do

DART is a publically funded project
Publically funded data should provide benefit to the public
Why are we doing this – IMPACT/unlocking potential

More people use the data then there is improved impact
Better financial and intellectual return for the investors
Why are we doing this – innovation

Reducing barriers to data and knowledge can improve
innovation
Why are we doing this – education

To provide baseline exemplar data for teaching and learning
Why are we doing this – building our network

Find new ways to exploit our data
Develop contacts
Write more grant applications
What do we want from you

Acknowledge our project
Reference our data
That's it
It would be nice to include us in other projects
  This is not a requirement
It would be nice if you let our funding bodies know that you've
used (and hopefully liked) our data
  Science and Heritage Programme
     Prof May Cassar
AHRC/EPSRC Science and Heritage Programe,
What do we want from you

It would be nice if you let our funding bodies know that you've
used (and hopefully liked) our data

Prof May Cassar
Science and Heritage Programme
Centre for Sustainable Heritage,
Bartlett School of Graduate Studies,
University College London            Jake Gilmore
WC1E 6BT                             Communications Manager,
                                     Arts & Humanities Research Council,
                                     Polaris House,
                                     North Star Avenue,
                                     Swindon,
                                     SN2 1FL
What can you do with this data

Anything you want
  Open Street Map
  Soil monitoring
  Crop analyses
  Heritage
  Countryside Stewardship
  Ecological
  Estate Management
What we can’t do

Offer support
Questions

Or do you want to see the data?
This afternoon there is a question and answer session

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RAC data day

  • 1. RAC Data Day Anthony (Ant) Beck Twitter: AntArch RAC, Cirencester – 14th February 2012 School of Computing Faculty of Engineering
  • 2. Overview •To give you a quick overview of DART •To describe our data •To make this data available to you •To describe how you can use this data
  • 3. Overview There is no need to take notes: Slides – Text – http://dl.dropbox.com/u/393477/MindMaps/StandAloneJS/Dat aDayAtRAC.html There is every need to ask questions
  • 4. DART www.dartproject.info Aiming to improve the science underpining the detection of subsurface archaeological features
  • 5. Archaeological Prospection What is the basis for detection
  • 6. Archaeological Prospection What is the basis for detection Micro-Topographic variations Soil Marks • variation in mineralogy and moisture properties Differential Crop Marks • constraint on root depth and moisture availability changing crop stress/vigour Proxy Thaw Marks • Exploitation of different thermal capacities of objects expressed in the visual component as thaw marks Now you see me dont
  • 7.
  • 8. Why DART? ‘Things’ are not well understood Environmental processes Sensor responses (particularly new sensors) Constraining factors (soil, crops etc.) Bias and spatial variability Techniques are scaling! • Geophysics! IMPACTS ON • Deployment • Management
  • 9. Why DART? Precision agriculture
  • 10. Why DART? Precision agriculture
  • 11. Why DART? Traditional AP exemplar
  • 12. Why DART? Traditional AP exemplar
  • 13. Why DART? Traditional AP exemplar Significant bias in its application • in the environmental areas where it is productive (for example clay environments tend not to be responsive) • Surveys don’t tend to be systematic • Interpretation tends to be more art than science
  • 14. What do we do about this? Go back to first principles: • Understand the phenomena • Understand the sensor characteristics • Understand the relationship between the sensor and the phenomena • Understand the processes better • Understand when to apply techniques
  • 15. What do we do about this? Understand the phenomena How does the object generate an observable contrast to it's local matrix? • Physical • Chemical • Biological • etc Are the contrasts permanent or transitory?
  • 16. What do we do about this? Understand the phenomena If transitory why are they occurring? • Is it changes in? • Soil type • Land management • Soil moisture • Temperature • Nutrient availability • Crop type • Crop growth stage
  • 17. What do we do about this? Understand the relationship between the sensor and the phenomena
  • 18. What do we do about this? Understand the relationship between the sensor and the phenomena
  • 19. DART at the RAC Insert map here
  • 20. DART ERT Ditch Rob Fry B’ham TDR Imco TDR Spectro-radiometry transect
  • 22. LiDAR
  • 23. LiDAR
  • 26.
  • 27.
  • 28. Geophysics Earth Resistance Electrical Resistance Tomography (ERT) Earth Magnetics GPR
  • 30. Data All held on a hard-drive Subset of the full research data we will make the rest of this available through the server It contains Raw data Processed data Metadata Formats Standard interoperable formats Licences These are not complete Most data will be made available under an open re-use licence (see server) Creative Commons GPL
  • 31. Server (in the near future) The full project archive will be available from the server Raw Data Processed Data Web Services Will also include TDR data Weather data Subsurface temperature data Soil analyses spectro-radiometry transects Crop analyses Excavation data In-situ photos
  • 32. Software Software Proprietary You will know what this is so I wont talk about it Open Source QGIS http://www.qgis.org/ Opticks http://opticks.org/confluence/display/opticks/Welcome+To+Opticks GRASS http://grass.fbk.eu/ The OSGeo Virtual Machine http://live.osgeo.org/en/index.html Snuffler http://www.sussexarch.org.uk/geophys/snuffler.html
  • 33. Why are we doing this – spreading the love
  • 34. Why are we doing this – it’s the right thing to do DART is a publically funded project Publically funded data should provide benefit to the public
  • 35. Why are we doing this – IMPACT/unlocking potential More people use the data then there is improved impact Better financial and intellectual return for the investors
  • 36. Why are we doing this – innovation Reducing barriers to data and knowledge can improve innovation
  • 37. Why are we doing this – education To provide baseline exemplar data for teaching and learning
  • 38. Why are we doing this – building our network Find new ways to exploit our data Develop contacts Write more grant applications
  • 39. What do we want from you Acknowledge our project Reference our data That's it It would be nice to include us in other projects This is not a requirement It would be nice if you let our funding bodies know that you've used (and hopefully liked) our data Science and Heritage Programme Prof May Cassar AHRC/EPSRC Science and Heritage Programe,
  • 40. What do we want from you It would be nice if you let our funding bodies know that you've used (and hopefully liked) our data Prof May Cassar Science and Heritage Programme Centre for Sustainable Heritage, Bartlett School of Graduate Studies, University College London Jake Gilmore WC1E 6BT Communications Manager, Arts & Humanities Research Council, Polaris House, North Star Avenue, Swindon, SN2 1FL
  • 41. What can you do with this data Anything you want Open Street Map Soil monitoring Crop analyses Heritage Countryside Stewardship Ecological Estate Management
  • 42. What we can’t do Offer support
  • 43. Questions Or do you want to see the data? This afternoon there is a question and answer session

Notas del editor

  1. Image re-used under a creative commons licence: http://www.flickr.com/photos/irenicrhonda/3468242704Landscape features show up at different scalesThe archaeological record SurficialBuried Depending on scale of examination essentially invisble to the human eye
  2. http://www.youtube.com/v/UfOi_7Os7kATraces can be identified through evidence Clusters of artefacts Chemical and physical residues Proxy biological variations Changes in surface relief
  3. Traces can be identified through evidence Clusters of artefacts Chemical and physical residues Proxy biological variations Changes in surface relief
  4. Satellite approaches should be considered in a multi-sensor environment which includes ground survey and excavationThe point is to learn more about the past
  5. Image re-used under a Creative Commons licence: http://www.flickr.com/photos/san_drino/1454922072/Environmental processesSensor responses (particularly new sensors)Constraining factors (soil, crops etc.)Bias and spatial variabilityIMPACTS ONDeploymentManagement
  6. Image re-used under a Creative Commons licence: http://www.flickr.com/photos/jimmysmith/720356377/Changes in land management may reduce the appearance of the phenomena we seekUsing science to maximise crop return
  7. Image re-used under a Creative Commons licence: http://www.flickr.com/photos/tangyauhoong/4502062656/Actual crop returns controlled so they approximate towardsthe 'norm'NEW, i.e. not observed before, archaeology is contained within the tailsThese outlier values are being removed.The outlier is an exceptional year ;-)
  8. Most successful archaeological detection technique Low level aerial platform Handheld SLR and digital cameras Reliance on oblique photography Optical and Near Infrared wavelengths Used since early 1900s
  9. Reliant on specific seasonal and environmental conditions Increasingly extreme conditions are required for the detection of ‘new’ sitesLow understanding of the physical processes at play outside the visual wavelengths
  10. Significant bias in its application in the environmental areas where it is productive (for example clay environments tend not to be responsive) Surveys don’t tend to be systematic Interpretation tends to be more art than science
  11. Image re-used under a creative commons licence: http://www.flickr.com/photos/8203774@N06/2310292882/
  12. Image re-used under a Creative Commons licence:How does the object generate an observable contrast to it's local matrix?PhysicalChemicalBiologicaletcAre the contrasts permanent or transitory?
  13. Image re-used under a Creative Commons licence:If transitory why are they occurring?Is it changes in?Soil typeLand managementSoil moistureTemperatureNutrient availabilityCrop typeCrop growth stage
  14. Image re-used under a Creative Commons licence:
  15. Image re-used under a Creative Commons licence: DARTYou need to know when to look for the difference
  16. Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
  17. By Davidjirwin1970 (Own work) [CC-BY-SA-3.0 (www.creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons
  18. http://www.youtube.com/v/Nh-ZB5bxPhcSpectral Resolution You need to know what part of the spectrum to detect the expressed difference Unsure of the geophysical metaphor for this
  19. © NevitDilmen [CC-BY-SA-3.0 (www.creativecommons.org/licenses/by-sa/3.0) or GFDL (w