A presentation given by Anthony Beck at the Royal Agricultural College, Cirencester on 14th February 2012. This presentation describes the data collected by the DART project and encourages members of the local communities to exploit this data.
It covers data, formats, licences, software, applications. This introductory presentation was followed up with an afternoon hands-on workshop.
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
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
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
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
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
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
43. Questions
Or do you want to see the data?
This afternoon there is a question and answer session
Notas del editor
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
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
Traces can be identified through evidence Clusters of artefacts Chemical and physical residues Proxy biological variations Changes in surface relief
Satellite approaches should be considered in a multi-sensor environment which includes ground survey and excavationThe point is to learn more about the past
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
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
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 ;-)
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
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
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
Image re-used under a creative commons licence: http://www.flickr.com/photos/8203774@N06/2310292882/
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?
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
Image re-used under a Creative Commons licence:
Image re-used under a Creative Commons licence: DARTYou need to know when to look for the difference
Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
By Davidjirwin1970 (Own work) [CC-BY-SA-3.0 (www.creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons
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