Remote sensing of biophysical parameters: linking field, airborne and continental scale data_Johansen

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Remote sensing of biophysical parameters: linking field, airborne and continental scale data_Johansen

  1. 1. Remote Sensing of Biophysical Parameters: Linking Field, Airborne and Continental Scale Data Presentation by: Kasper Johansen1,2 and Stuart Phinn1,2 1The University of Queensland (k.johansen@uq.edu.au) 2 Joint Remote Sensing Research Program
  2. 2. Outline 1. Introduction: Australian Supersites Network and AusCover 2. AusCover Activities and Products 3. AusCover Data Collection 4. Linking Field, Airborne and Satellite Image Data
  3. 3. Plot locations of the ASN Australian Supersites Network (ASN) and AusCover Plot locations of AusCover
  4. 4. Australian Supersites Network and AusCover
  5. 5. AusCover Activities and Products A nationally consistent approach to deliver, calibrate and validate satellite image based data sets designed for Australian conditions.
  6. 6. Field-based Measurements Satellite Based MeasurementsAirborne Measurements AusCover Activities and Products: AusCover Field and Airborne Campaigns Time-Series Measurements
  7. 7. Field and Airborne Data Collection Design • Each site represents dominant biome or environment with high conservation value • Homogenous 5 x 5 km sites • Capture variability within site • Rapid sites (TLS, hemispherical photos, GPS) • Field data collection influenced by accessibility and type of environment
  8. 8. • Homogenous plots • Ground, mid-storey and over-storey • Basal area • Vegetation structure • LAI (LAI-2200) • Hemispherical photos • Terrestrial Laser Scanning • Leaf samples and species ID • Phenology photos Field and Airborne Data Collection Design
  9. 9. Field and Airborne Data Collection Design
  10. 10. Field Data Collection Processes: Ground, mid-storey and over-storey
  11. 11. Field Data Collection Processes: Basal area
  12. 12. Field Data Collection Processes: Hemispherical photos
  13. 13. Field Data Collection Processes: Leaf area index Digital Plant Canopy Imager (CI-110) Licor Plant Canopy Analyser LAI-2200
  14. 14. Field Data Collection Processes: Terrestrial laser scanning
  15. 15. Field Data Collection Processes: Terrestrial laser scanning
  16. 16. Field Data Collection Processes: Terrestrial laser scanning
  17. 17. Field Data Collection Processes: Leaf samples and chemistry
  18. 18. Field Data Collection Processes: Phenology
  19. 19. Field Data Collection Processes: Spectrometer measurements
  20. 20. Field Data Collection Processes: Atmospheric measurements
  21. 21. Field Data Collection Processes: Accessing the field data
  22. 22. Airborne Data Collection Processes: LiDAR and hyper-spectral data
  23. 23. Airborne Data Collection Processes: LiDAR and hyper-spectral data
  24. 24. Airborne Data Collection Processes: LiDAR and hyper-spectral data Site rapid1 PAI 3.673067 rapid2 3.363939 rapid3 2.279929 rapid4 2.62392 rapid5 4.901737 rapid6 3.14998 rapid7 3.335957 rapid8 3.652275 rapid9 3.190056 rapid10 6.049383 rapid11 2.897515 rapid12 3.360222
  25. 25. Airborne Data Collection Processes: LiDAR and hyper-spectral data 200 m 100 m 50 m 2 km
  26. 26. Airborne Data Collection Processes: LiDAR and hyper-spectral data
  27. 27. AusCover Products • The vertically-projected fraction of long-term, persistent green vegetation (nominally woody vegetation) cover
  28. 28. Landsat Time-Series of Persistent Green- Vegetation Fraction for Australia SOURCE DESCRIPTION QLD DSITIA Fractional-cover field sites ABARES Fractional-cover field sites NSW OEH SPOT-5 Image-interpretation NT Bushfires DBH field sites NT NRETAS Fractional-cover field sites ACRIS Locations of low-foliage scrub WA Woody-vegetation sampling sites QLD Herbarium Biomass field sites • Field data from 800 sites collected using nationally consistent protocol, RMSE of 11% • Decision tree classifier based on robust regression statistics used to classify each pixel as persistent or non-persistent green vegetation
  29. 29. Landsat Time-Series of Persistent Green- Vegetation Fraction for Australia 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 1000 2000 3000 4000 day greenfraction min max mask Non-PGV
  30. 30. Persistent Green Vegetation Fraction – Airborne LiDAR Validation • Collation of Riegl LMS-Q560 and Riegl LMS-Q680i waveform LiDAR datasets captured within the temporal extent of the product (2000-2010) • Woody Foliage Projective Cover estimates from field calibration of LiDAR Pgap • Comparison with Landsat persistent green extent and cover fractions
  31. 31. Persistent Green Vegetation Fraction – Airborne LiDAR Validation • The mean RMSE and Pearson correlation coefficient across all flight paths were 0.13±0.076 and 0.71±0.15, respectively. • Herbaceous and woody understorey not included in LiDAR FPC (<0.5m)
  32. 32. Accessing the Persistent Green Vegetation Fraction Product
  33. 33. Future Work & Conclusions Future Work • Research linking both ASN and AusCover field, airborne and satellite image data and flux measurements (e.g. for productivity, biomass, time-series change, vegetation structure and phenology assessment) • Expand data collection over time Conclusions • Unique data sets available for selected supersites across Australia • Will support research and ecosystem science in Australia in selected biomes • Working with state and federal government agencies and researchers associated with AusCover and TERN enabled this work
  34. 34. Acknowledgements AGENCY PEOPLE ABARES Jasmine Rickards NT Bushfires Andrew Edwards NT NRETAS Nick Cuff ACRIS / CSIRO Gary Bastin, Matt Bradform WA DEC Graeme Behn Airborne Research Australia Jorg Hacker Monash Jason Beringer CDU Stefan Maier QLD Herbarium NSW Office of Environment and Heritage Tim Danaher JCU Mike Liddell Individual AusCover nodes TERN in general
  35. 35. Remote Sensing of Biophysical Parameters: Linking Field, Airborne and Continental Scale Data Presentation by: Kasper Johansen1,2 and Stuart Phinn1,2 1The University of Queensland (k.johansen@uq.edu.au) 2 Joint Remote Sensing Research Program

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