DART – Archaeological detectionAnthony (Ant) BeckTwitter: AntArchPotential of satellite images and hyper/multi-spectralrec...
Overview•How do we detect stuff•Why DART•Going back to first principles•DART overview•Platforms•Knowledge base – impact on...
Archaeological ProspectionWhat is the basis for detectionWe detect Contrast:• Between the expression of the remains  and t...
Archaeological ProspectionThese attributes may be masked or accentuated by avariety of other phenomenahttp://www.youtube.c...
Archaeological Prospection What is the basis for detection                            Micro-Topographic variations        ...
Archaeological ProspectionWhat is the basis for detection
Archaeological ProspectionWhat is the basis for detection
Archaeological ProspectionSummaryThe sensor must have:• The spatial resolution to resolve the feature• The spectral resolu...
A multi-sensor environment:which includes ground survey and excavation
Why DART? Isn’t everything rosy in the garden?
Why DART? ‘Things’ are not well understoodEnvironmental processesSensor responses (particularly newsensors)Constraining fa...
Why DART? Precision agricultureUsing science to maximise crop return
Why DART? Precision agricultureOutlier values are being controlled
Why DART? Traditional AP exemplar
Why DART? Traditional AP exemplarSignificant bias in its application• in the environmental areas where it is  productive (...
What do we do about this?Go back to first principles:• Understand the phenomena• Understand the sensor  characteristics• U...
What do we want to achieve with this?Increased understandingwhich could lead to:• Improved detection in marginal  conditio...
What do we do about this? Understand thephenomenaHow does the object generate anobservable contrast to its localmatrix?• P...
What do we do about this? Understand thephenomenaIf transitory why are theyoccurring?• Is it changes in?  • Soil type  • L...
What do we do about this? Understand therelationship between the sensor and the phenomena
What do we do about this? Understand therelationship between the sensor and the phenomena                Spatial Resolution
What do we do about this? Understand therelationship between the sensor and the phenomena                  Radiometric Res...
What do we do about this? Understand therelationship between the sensor and the phenomena                Temporal Resolution
What do we do about this? Understand therelationship between the sensor and the phenomena                  Spectral(?) Res...
What do we do about this? Understand theprocesses betterSo what causes theselocalised variations?• Local conditions struct...
What do we do about this? Understand theprocesses betterExpressed contrast differenceschange over time• Seasonal variation...
What do we do about this? Understand theprocesses betterExacerbated by anthropogenicactions• Cropping• Irrigation• Harrowing
What do we do about this? Example from multi orhyper spectral imaging
DART
DART - Collaborators
DART: Ground Observation BenchmarkingTry to understand the periodicity of change• Requires  • intensive ground observation...
DART: Ground Observation BenchmarkingBased upon an understanding of:• Nature of the archaeological residues  • Nature of a...
DART: SitesLocation• Diddington, Cambridgeshire• Harnhill, GloucestershireBoth with• contrasting clay and well draining  s...
http://prezi.com/_tntxlrctptg/dart-sites/
DART: Probe Arrays
DART: Probe Arrays
DART: Field MeasurementsSpectro-radiometry• Soil• Vegetation  • Every 2 weeksCrop phenology• Height• Growth (tillering)Fla...
DART: Field MeasurementsResistivityWeather station• Logging every half hour
DART: Probe Arrays
DART: Field MeasurementsAerial data• Hyperspectral surveys  • CASI  • EAGLE  • HAWK• LiDAR• Traditional Aerial Photographs
DART: Laboratory MeasurementsGeotechnical analysesParticle sizeSheer strengthetc.Geochemical analysesPlant Biology
DART: Laboratory MeasurementsPlant Biology                   • Soil and leaf water content • Rate of germination          ...
DART                               ERT                                     Ditch                     Rob Fry       B’ham T...
DART                               ERT                                     Ditch                     Rob Fry       B’ham T...
DART – exemplarsHyperspectral (400-2500nm)                                                   ERT                          ...
DART – exemplarsAirborne Laser ScanningDiscrete Echo and Full Waveform             ERT                                    ...
DART – exemplarsObliques                                         ERT                                               DitchUA...
DART: Data so far - Temperature
DART: Data so far - Temperature
DART: Data so far - PermittivityTDR - How does it work• Sends a pulse of EM energy• Due to changes in impedance, at the st...
DART: Data so far - PermittivityFurther analysis of permittivity and conductivity against rainfallLinking the changes to t...
DART: Data so far – Earth Resistance
DART: Data so far – Earth Resistance                            Probe Separation (m)                     0.25          0.5...
DART: Data so far – Earth Resistance
Spectro-radiometry: Methodology• Recorded monthly  • Twice monthly at Diddington during the growing season• Transects acro...
Diddington transect 1: Spectroradiometry June 2011 0.12Rel 0.1ativ 0.08er  0.06efle 0.04ctan 0.02ce    0         400      ...
Diddington transect 1: Spectroradiometry June 2011  0.4R  0.35ela   0.3tiv  0.25er   0.2efl  0.15ect   0.1anc 0.05e    0  ...
http://prezi.com/-oaoksqr09gx/dart-hyperspectral-the-driest-spring/
DART: Plant BiologyLab experiments conducted in collaboration with Leeds PlantBiology in 2011 and repeated in 2012From soi...
http://prezi.com/v5kahvg2zmyz/dart-plant-biology/
DART: Knowledge Basehttp://prezi.com/ef_aud--i00t/dart-knowledge-base
DART: Communicationhttp://prezi.com/yo-pijkatt0a/dart-communication-infrastructure/http://dartproject.info/WPBlog/
Open Data: Server (in the near future)The full project archive will be available from the server  Raw Data  Processed Data...
Why are we doing this – spreading the love
Why are we doing this – it’s the right thing to doDART is a publically funded projectPublically funded data should provide...
Why are we doing this – IMPACT/unlocking potentialMore people use the data then there is improved impactBetter financial a...
Why are we doing this – innovationReducing barriers to data and knowledge can improveinnovation
Why are we doing this – educationTo provide baseline exemplar data for teaching and learning
Why are we doing this – building our networkFind new ways to exploit our dataDevelop contactsWrite more grant applications
DiscussionSFM                                  Plant Biology Pushbroom                            Phenology High resolutio...
Questions
OverviewThere is no need to take notes:Slides – http://goo.gl/ZHYaBText – http://goo.gl/osQZi or http://goo.gl/M5Eu1There ...
Science underpinning archaeological detection: DART
Science underpinning archaeological detection: DART
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Science underpinning archaeological detection: DART

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A presentation by Anthony Beck presented at the workshop "Potential of satellite images and hyper/multi-spectral recording in archaeology"
Poznan – 31st June 2012

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  • Image re-used under a Creative Commons licence: http://www.flickr.com/photos/catikaoe/183454010/We identify contrast Between the expression of the remains and the local 'background' value In most scenarios direct contrast measurements are preferable as these measurements will have less attenuation.Proxy contrast measurements are extremely useful when the residue under study does not produce a directly discernable contrast or it exists in a regime where direct observation is impossible
  • Traces 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
  • Image re-used under a Creative Commons licence: http://www.flickr.com/photos/arpentnourricier/2385863532Dependant on localised formation and deformation Environmental conditions Soil moisture Crop Temperature and emmisivity
  • Image re-used under a Creative Commons licence: http://www.flickr.com/photos/dartproject/6001577156Dependant on localised formation and deformation Land management
  • Image re-used under a Creative Commons licence: http://www.flickr.com/photos/dartproject/6001577156Dependant on localised formation and deformation Land management
  • 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/southernpixel/3480710493/Not really.We have great techniques but some are in danger of becoming redundant
  • 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 ;-)
  • 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: 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: DARTSpatial Resolution You need enough to observe the object
  • Image re-used under a Creative Commons licence: DARTRadiometric Resolution - You need enough to be able to physically detect the expressed differencesdetermines how finely a system can represent or distinguish differences of intensity is usually expressed as a number of levels or a number of bits for example 8 bits or 256 levels The higher the radiometric resolution, the better subtle differences of intensity or reflectivity can be represented Signal to noise ratios can be a problem Example It is difficult to detect small changes in growth if your ruler only measures to the nearect 10cms You need enough to be able to physically detect the expressed differences
  • Image re-used under a Creative Commons licence: DARTYou need to know when to look for the difference
  • Spectral Resolution You need to know what part of the spectrum to detect the expressed difference Unsure of the geophysical metaphor for this
  • Image re-used under a Creative Commons licence: DARTSo what causes these localised variations?Local conditions structure how any contrast difference is exhibited:Soil typeCrop typeMoistureNutrientsDiurnal temperature variations
  • Image re-used under a Creative Commons licence: DARTExpressed contrast differences change over timeSeasonal variationscrop phenology (growth)moisturetemperaturenutrientsDiurnal variationssun angle (topographic features)temperature variations
  • Image re-used under a Creative Commons licence: DARTExacerbated by anthropogenic actionsCroppingIrrigationHarrowing
  • Image re-used under a Creative Commons licence: DARTBut archaeology doesn't tend to produce spectral signatures Rather: produce localised disruptions to a matrix The nature of these disruptions vary and include: Changes to the soil structure Changes to moisture retention capacity Changes in geochemistry Changes in magnetic or acoustic properties Changes to topography At least one of these disruptions will produce a contrast which is detectable The challenge is What sensor to use The sensitivity of the sensor When to deploy the sensor
  • Try to understand the periodicity of changeRequire intensive ground observation (spectro-radiometry, soil and crop analysis) at known sites (and their surroundings) in a range of different environments under different environmental conditions
  • Based upon an understanding of:Nature of the archaeological residuesNature of archaeological material (physical and chemical structure)Nature of the surrounding material with which it contrastsHow proxy material (crop) interacts with archaeology and surrounding matrixSensor characteristicsSpatial, spectral, radiometric and temporalHow these can be applied to detect contrastsEnvironmental characteristicsComplex natural and cultural variables that can change rapidly over time
  • LocationDiddington, CambridgeshireHarnhill, GloucestershireBoth withcontrasting clay and 'well draining' soilsan identifiable archaeological repertoireunder arable cultivationContrasting Macro environmental characteristics
  • Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
  • Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
  • Image re-used under a creative commons licence:http://www.flickr.com/photos/soilscience/5104676427Spectro-radiometrySoilVegetationEvery 2 weeksCrop phenologyHeightGrowth (tillering)Flash res 64Including induced events
  • ResistivityGround penetrating radarEmbedded Soil Moisture and Temperature probesLogging every hour Weather stationLogging every half hour
  • Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
  • Aerial dataHyperspectral surveysCASIEAGLEHAWKLiDARTraditional Aerial Photographs
  • Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
  • Image reused under a Creative Commons Licence:http://www.flickr.com/photos/kubina/279523019Geotechnical analysesGeochemical analysesPlant Biology
  • TDR - How does it workSends a pulse of EM energyDue to changes in impedance, at the start and at the end of the probe, the pulse is reflected back and the reflections can be identified on the waveform traceThe distance between these two reflection points is used to determine the Dielectric permittivity Different soils have different dielectric permittivityThis needs calibrating before soil moisture can be derived from the sensors
  • Further analysis of permittivity and conductivity against rainfall Linking the changes to the weather patternsComparisons can be made betweenSoils at different depthsArchaeological and non-archaeological featuresDifferent soil types at the different locations
  • Conversion to moisture content is also a priorityRequires calibration using different mixing models including:empiricalsemi-empiricalphysical volumetric phenomenological modelsThis will help us to link the changes in geophysical responses to the composition of the soil and predict future responses, as well as supporting investigations into crop stress and vigour.
  • Conversion to moisture content is also a priorityRequires calibration using different mixing models including:empiricalsemi-empiricalphysical volumetric phenomenological modelsThis will help us to link the changes in geophysical responses to the composition of the soil and predict future responses, as well as supporting investigations into crop stress and vigour.
  • methodology similar to that employed by Parkyn et al. (2011)Overviewdata pointslie within the ditch featureover the non-archaeological featurefind an average data value for the feature and the surrounding soilThe percentage difference between these two figures can then be considered the amount of contrast within the test area.The higher the percentage, the better the feature is able to be defined.
  • © NevitDilmen [CC-BY-SA-3.0 (www.creativecommons.org/licenses/by-sa/3.0) or GFDL (w
  • Science underpinning archaeological detection: DART

    1. 1. DART – Archaeological detectionAnthony (Ant) BeckTwitter: AntArchPotential of satellite images and hyper/multi-spectralrecording in archaeologyPoznan – 31st June 2012School of ComputingFaculty of Engineering
    2. 2. Overview•How do we detect stuff•Why DART•Going back to first principles•DART overview•Platforms•Knowledge base – impact on deployment
    3. 3. Archaeological ProspectionWhat is the basis for detectionWe detect Contrast:• Between the expression of the remains and the local background valueDirect Contrast:• where a measurement, which exhibits a detectable contrast with its surroundings, is taken directly from an archaeological residue.Proxy Contrast:• where a measurement, which exhibits a detectable contrast with its surroundings, is taken indirectly from an archaeological residue (for example from a crop mark).
    4. 4. Archaeological ProspectionThese attributes may be masked or accentuated by avariety of other phenomenahttp://www.youtube.com/v/UfOi_7Os7kA
    5. 5. 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 marksNow you see me dont
    6. 6. Archaeological ProspectionWhat is the basis for detection
    7. 7. Archaeological ProspectionWhat is the basis for detection
    8. 8. Archaeological ProspectionSummaryThe sensor must have:• The spatial resolution to resolve the feature• The spectral resolution to resolve the contrast• The radiometric resolution to identify the change• The temporal sensitivity to record the feature when the contrast is exhibitedThe image must be captured at the right time:• Different features exhibit contrast characteristics at different times
    9. 9. A multi-sensor environment:which includes ground survey and excavation
    10. 10. Why DART? Isn’t everything rosy in the garden?
    11. 11. Why DART? ‘Things’ are not well understoodEnvironmental processesSensor responses (particularly newsensors)Constraining factors (soil, crops etc.)Bias and spatial variabilityTechniques are scaling!• Geophysics!IMPACTS ON• Deployment• Management
    12. 12. Why DART? Precision agricultureUsing science to maximise crop return
    13. 13. Why DART? Precision agricultureOutlier values are being controlled
    14. 14. Why DART? Traditional AP exemplar
    15. 15. Why DART? Traditional AP exemplarSignificant 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
    16. 16. 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
    17. 17. What do we want to achieve with this?Increased understandingwhich could lead to:• Improved detection in marginal conditions• Increasing the windows of opportunity for detection• Being able to detect a broader range of features
    18. 18. What do we do about this? Understand thephenomenaHow does the object generate anobservable contrast to its localmatrix?• Physical• Chemical• Biological• etcAre the contrasts permanent ortransitory?
    19. 19. What do we do about this? Understand thephenomenaIf transitory why are theyoccurring?• Is it changes in? • Soil type • Land management • Soil moisture • Temperature • Nutrient availability • Crop type • Crop growth stage
    20. 20. What do we do about this? Understand therelationship between the sensor and the phenomena
    21. 21. What do we do about this? Understand therelationship between the sensor and the phenomena Spatial Resolution
    22. 22. What do we do about this? Understand therelationship between the sensor and the phenomena Radiometric ResolutionRadiometric resolutiondetermines how finely a system canrepresent or distinguish differences ofintensity
    23. 23. What do we do about this? Understand therelationship between the sensor and the phenomena Temporal Resolution
    24. 24. What do we do about this? Understand therelationship between the sensor and the phenomena Spectral(?) Resolutionhttp://www.youtube.com/v/Nh-ZB5bxPhc
    25. 25. What do we do about this? Understand theprocesses betterSo what causes theselocalised variations?• Local conditions structure how any contrast difference is exhibited: • Soil type • Crop type • Moisture • Nutrients • Diurnal temperature variations
    26. 26. What do we do about this? Understand theprocesses betterExpressed contrast differenceschange over time• Seasonal variations• crop phenology (growth)• moisture• temperature• nutrients• Diurnal variations• sun angle (topographic features)• temperature variations
    27. 27. What do we do about this? Understand theprocesses betterExacerbated by anthropogenicactions• Cropping• Irrigation• Harrowing
    28. 28. What do we do about this? Example from multi orhyper spectral imaging
    29. 29. DART
    30. 30. DART - Collaborators
    31. 31. DART: Ground Observation BenchmarkingTry to understand the periodicity of change• Requires • intensive ground observation • at known sites (and their surroundings) • In different environmental settings • under different environmental conditions
    32. 32. DART: Ground Observation BenchmarkingBased upon an understanding of:• Nature of the archaeological residues • Nature of archaeological material (physical and chemical structure) • Nature of the surrounding material with which it contrasts • How proxy material (crop) interacts with archaeology and surrounding matrix• Sensor characteristics • Spatial, spectral, radiometric and temporal • How these can be applied to detect contrasts• Environmental characteristics • Complex natural and cultural variables that can change rapidly over time
    33. 33. DART: SitesLocation• Diddington, Cambridgeshire• Harnhill, GloucestershireBoth with• contrasting clay and well draining soils• an identifiable archaeological repertoire• under arable cultivationContrasting Macro environmentalcharacteristics
    34. 34. http://prezi.com/_tntxlrctptg/dart-sites/
    35. 35. DART: Probe Arrays
    36. 36. DART: Probe Arrays
    37. 37. DART: Field MeasurementsSpectro-radiometry• Soil• Vegetation • Every 2 weeksCrop phenology• Height• Growth (tillering)Flash res 64• Including induced events
    38. 38. DART: Field MeasurementsResistivityWeather station• Logging every half hour
    39. 39. DART: Probe Arrays
    40. 40. DART: Field MeasurementsAerial data• Hyperspectral surveys • CASI • EAGLE • HAWK• LiDAR• Traditional Aerial Photographs
    41. 41. DART: Laboratory MeasurementsGeotechnical analysesParticle sizeSheer strengthetc.Geochemical analysesPlant Biology
    42. 42. DART: Laboratory MeasurementsPlant Biology • Soil and leaf water content • Rate of germination • Root studies (emergence) • Root length and density. • Growth analysis • Root – Shoot biomass ratio. • Number of Leaves • Total plant biomass • Number of Tillers • Biochemical analysis: Protein and • Stem length chlorophyll analysis. • Total plant height • Broad spectrum analysis of soil • Drought experiment (Nutrient content) and C-N ratios of leaf. • A - Ci Curve • Chlorophyll a fluorescence
    43. 43. DART ERT Ditch Rob Fry B’ham TDR Imco TDR Spectro-radiometry transect
    44. 44. DART ERT Ditch Rob Fry B’ham TDR Imco TDR Spectro-radiometry transect
    45. 45. DART – exemplarsHyperspectral (400-2500nm) ERT DitchHigh resolution Vertical Rob Fry B’ham TDR Imco TDR Spectro-radiometry transect
    46. 46. DART – exemplarsAirborne Laser ScanningDiscrete Echo and Full Waveform ERT Ditch Rob Fry
    47. 47. DART – exemplarsObliques ERT DitchUAV Rob Fry B’ham TDR
    48. 48. DART: Data so far - Temperature
    49. 49. DART: Data so far - Temperature
    50. 50. DART: Data so far - PermittivityTDR - How does it work• Sends a pulse of EM energy• Due to changes in impedance, at the start and at the end of the probe, the pulse is reflected back and the reflections can be identified on the waveform trace• The distance between these two reflection points is used to determine the Dielectric permittivity• Different soils have different dielectric permittivity • This needs calibrating before soil moisture can be derived from the sensors
    51. 51. DART: Data so far - PermittivityFurther analysis of permittivity and conductivity against rainfallLinking the changes to the weather patternsComparisons can be made between• Soils at different depths• Archaeological and non-archaeological features• Different soil types at the different locationsConversion to moisture content is also a priority
    52. 52. DART: Data so far – Earth Resistance
    53. 53. DART: Data so far – Earth Resistance Probe Separation (m) 0.25 0.5 0.75 1June R 18.04742552 18.88545 18.896896 16.79403July 19.13517794 17.15205 17.081613 15.01906August #N/A #N/A #N/A #N/A Difference in magnitudeSeptember 8.841189868 13.255 14.512463 15.53069 Change of Contrast Factors withOctober 7.988128839 10.97714 12.217018 11.6229 20 Seasons Contrast Factor (%) 15 Twin Probe Electrode Seperation (m) 10 0.2 5 0.5 0.7 5 5 June July August September October 0.25 18.04742 19.13517 8.841189 7.988128 0.5 18.88544 17.15204 13.25500 10.97714 0.75 18.89689 17.08161 14.51246 12.21701 1 16.79403 15.01905 15.53069 11.62289
    54. 54. DART: Data so far – Earth Resistance
    55. 55. Spectro-radiometry: Methodology• Recorded monthly • Twice monthly at Diddington during the growing season• Transects across linear features• Taken in the field where weather conditions permit• Surface coverage evaluated using near-vertical photography• Vegetation properties recorded along transect • Chlorophyll (SPAD) • Height
    56. 56. Diddington transect 1: Spectroradiometry June 2011 0.12Rel 0.1ativ 0.08er 0.06efle 0.04ctan 0.02ce 0 400 500 600 700 Wavelength (nm) 27/06/2011 Archaeology 27/6/2011 Outside archaeology 14/06/2011 Archaeology 14/06/2011 Outside archaeology 08/06/2011 Archaeology 08/06/2011 Outside archaeology
    57. 57. Diddington transect 1: Spectroradiometry June 2011 0.4R 0.35ela 0.3tiv 0.25er 0.2efl 0.15ect 0.1anc 0.05e 0 350 450 550 650 750 850 950 1050 1150 1250 1350 1450 1550 1650 1750 1850 1950 2050 2150 2250 2350 2450 Wavelength (nm) 27/06/2011 Archaeology 27/6/2011 Outside archaeology 14/06/2011 Archaeology 14/06/2011 Outside archaeology 08/06/2011 Archaeolgy 08/06/2011 Outside archaeology
    58. 58. http://prezi.com/-oaoksqr09gx/dart-hyperspectral-the-driest-spring/
    59. 59. DART: Plant BiologyLab experiments conducted in collaboration with Leeds PlantBiology in 2011 and repeated in 2012From soils at Quarry FieldSoil structure appears to be the major component influencingroot penetration and plant health
    60. 60. http://prezi.com/v5kahvg2zmyz/dart-plant-biology/
    61. 61. DART: Knowledge Basehttp://prezi.com/ef_aud--i00t/dart-knowledge-base
    62. 62. DART: Communicationhttp://prezi.com/yo-pijkatt0a/dart-communication-infrastructure/http://dartproject.info/WPBlog/
    63. 63. Open Data: Server (in the near future)The full project archive will be available from the server Raw Data Processed Data Web ServicesWill also include TDR data Weather data Subsurface temperature data Soil analyses spectro-radiometry transects Crop analyses Excavation data In-situ photos ETC.
    64. 64. Why are we doing this – spreading the love
    65. 65. Why are we doing this – it’s the right thing to doDART is a publically funded projectPublically funded data should provide benefit to the public
    66. 66. Why are we doing this – IMPACT/unlocking potentialMore people use the data then there is improved impactBetter financial and intellectual return for the investors
    67. 67. Why are we doing this – innovationReducing barriers to data and knowledge can improveinnovation
    68. 68. Why are we doing this – educationTo provide baseline exemplar data for teaching and learning
    69. 69. Why are we doing this – building our networkFind new ways to exploit our dataDevelop contactsWrite more grant applications
    70. 70. DiscussionSFM Plant Biology Pushbroom Phenology High resolution frame Differential growth parameters Oblique and UAV Data mining (process fromTopographic measurements) From SFM Environmental Full Waveform LiDAR SoilsDetection Temperature Hyperspectral (including thermal) Spectral AnalysisVisualization ERT and tomography Complex data!
    71. 71. Questions
    72. 72. OverviewThere is no need to take notes:Slides – http://goo.gl/ZHYaBText – http://goo.gl/osQZi or http://goo.gl/M5Eu1There is every need to ask questionsThe slides and text are release under a Creative Commons byattribution licence.
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