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

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

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Publication statusPublished - 2011
Externally publishedYes
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: 10 Apr 201115 Apr 2011

Conference

Conference34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Country/TerritoryAustralia
CitySydney, NSW
Period10/04/1115/04/11

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