Presentations from Statewide Landcover and Trees Study Remote Sensing of
Foliage Projective Cover Workshop
29th November 2005

 

Stems, Leaves and Canopies – Relationships within Trees Peter Scarth (SLATS) 

This presents some simple theoretical models that attempt to link some of the more commonly used canopy metrics. Field measurements were used to calibrate and test these models over a range of communities with good results.

 

Derivation of FPC and Related Canopy Attributes using LIDAR   John Armston (SLATS)

The derivation and validation of FPC from airborne LIDAR will be presented. These data are being used to calibrate and validate products derived from Landsat and MODIS.

 

Analysis of the SLATS Landsat FPC Time-series  Tim Danaher (SLATS)

The latest method for mapping woody FPC using a time series of Landsat measurements will be described. Future plans for monitoring longer term changes using the FPC time series will be discussed.

 

SLATS FPC Products: Regression Modelling Approach to Deriving FPC from Landsat Data Robert Denham (SLATS)

The current method of using multiple linear regression between field measurements and Landsat data to predict FPC will be presented. Different regression modelling strategies were explored to maximise predictive accuracy however representative field data was the most important consideration.

 

Improving the Regression Modelling of FPC using Bayesian Statistics  Trevor Moffiet, University of Newcastle

A Bayesian model is being developed with the objective of incorporating the different surrogate measures for FPC; basal area, LIDAR, field transect estimates and Landsat imagery into the one model. A Bayesian approach is the best way to incorporate the uncertainties of all parameter estimates into the one model.

 

Improving the Separation of Woody and Herbaceous FPC using MODIS Time Series Decomposition  Tony Gill, Centre for Remote Sensing and Spatial Information Science (CRSSIS),University of Queensland

A technique developed by CSIRO researchers that uses time series imagery to separate woody from herbaceous vegetation and how it can be improved using additional information offered by the MODIS sensor will be discussed. Early results for the Charters Towers region will be presented.


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