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Natascha Kljun. Photo.

Natascha Kljun

Professor

Natascha Kljun. Photo.

3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling

Author

  • J. A.J. Berni
  • N. Kljun
  • E. Van Gorsel
  • V. Haverd
  • R. Leuning
  • A. Cabello-Leblic
  • A. Held
  • C. Hopkinson
  • L. Chasmer
  • K. Youngentob

Summary, in English

A hyperspectral sensor and a full waveform LiDAR were flown over a temperate Eucalyptus forest in Australia, at the location of the Tumbarumba Ozflux site. Ground cover and leaf area index were derived from the LiDAR dataset while chlorophyll content maps were generated from the hyperspectral imagery using 3D radiative transfer models and the structural information derived from the LiDAR. These maps were subsequently used to replace fixed parameters in land surface models (LSM). We used the LSM CABLE-SLI to demonstrate how spatial variability in biophysical parameters translates into changes in net ecosystem exchange.

Publishing year

2011

Language

English

Document type

Conference paper

Keywords

  • Biophysical parameters
  • Carbon exchange
  • Hyperspectral
  • Lidar
  • Radiative transfer models

Conference name

34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Conference date

2011-04-10 - 2011-04-15

Conference place

Sydney, NSW, Australia

Status

Published