3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling
(2011) 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c2edf288-05f0-437c-99a9-ef67d86dd3e3
- author
- Berni, J. A.J. ; Kljun, N. LU ; Van Gorsel, E. ; Haverd, V. ; Leuning, R. ; Cabello-Leblic, A. ; Held, A. ; Hopkinson, C. ; Chasmer, L. and Youngentob, K.
- publishing date
- 2011
- type
- Contribution to conference
- publication status
- published
- 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 location
- Sydney, NSW, Australia
- conference dates
- 2011-04-10 - 2011-04-15
- external identifiers
-
- scopus:84879759767
- language
- English
- LU publication?
- no
- id
- c2edf288-05f0-437c-99a9-ef67d86dd3e3
- date added to LUP
- 2022-01-31 16:45:08
- date last changed
- 2022-03-14 07:38:32
@misc{c2edf288-05f0-437c-99a9-ef67d86dd3e3, abstract = {{<p>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.</p>}}, author = {{Berni, J. A.J. and Kljun, N. and Van Gorsel, E. and Haverd, V. and Leuning, R. and Cabello-Leblic, A. and Held, A. and Hopkinson, C. and Chasmer, L. and Youngentob, K.}}, keywords = {{Biophysical parameters; Carbon exchange; Hyperspectral; Lidar; Radiative transfer models}}, language = {{eng}}, title = {{3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling}}, year = {{2011}}, }