Brian Maddison

1
Remote Sensing and Imaging for Monitoring and
the Detection of Disease
Spectral Response
Horizon Scanning
Imaging

• Brian Maddison
• The Rutherford Appleton Laboratory

2
Q-Detect WP5 Remote Sensing

• Horizon scanning study of remote sensing
  instrument platforms. Including
• Evaluation of the state of the art in satellite,
  High Altitude Platforms (HAPS), Aircraft,
  Unmanned Aerial Vehicles (UAVs) and Balloon
  technology
• Infrared spectral identification of infected
  plants
• Investigate the spectral response of disease in
  infected plants in the mid infrared wavelengths
  (2.5 to 20µm)
• Satellite Image Analysis
• Develop a pattern recognition tool to analyse
  high spatial resolution satellite imagery to
  identify and monitor infected locations.

3
Horizon Scanning Reviewing remote sensing
solutions
Satellites
Manned
UAV
Imaging Capability 2 - 20cm 0.5 - 20cm
50 - 1500cm
FOV 0.5 to 5km 50m 5km 10
50km
Costs /h 510 to 2700 85 to 1360
342 to 1650 (dedicated) /year 1M to
4.5M 0.1M to 2.6M 3M to 14.5M
Future Miniaturisation and Hyper spectral
LIDAR, SAR, Imaging Spectrometers
Future Platforms High Altitude Platforms
Stratollites, HALE UAVs
4
UAV Facility at Harwell UAV with multispectral
imager
Band Number Spectral Range (µm)
1 .45 to .515
2 .525 to .605
3 .63 to .690
4 .75 to .90
Pan NDVI NDVI .52 to .90 0.42 to 0.70 0.70 to 1.1
5
Summary and Conclusions
Economically driven consideration UAVs are the
platform that offers the user the most flexible
solution
Recommendation for a Dedicated Satellite High
spectral (lt1nm) Spatial resolution (lt1m)
Bandwidth from UV through to SWIR
Investigate the potential use of Cube Sats Low
cost imagery solutions
Investigate the potential use of Aerostats and
tethered balloons as a very low cost solution.
6
Infrared Spectral Response of Disease in Plants
Mid Infrared Spectral Absorption Database
(Direct contact)
Mid Infrared Spectral Reflectance Database
(Stand off)
FTIR - ATR Measurements Japanese Larch
FTIR - ATR Measurements Wheat
7
Satellite Image Analysis - MORFIS

• Object based morphological model based on
• Geometric edges and features, colours and
  patterns
• Calibration training sets can be developed by the
  user for
• specific targets

8
Validation using model