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

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 conference › Paper, not in proceeding

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 language	English
Publication status	Published - 2011
Externally published	Yes
Event	34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia Duration: 2011 Apr 10 → 2011 Apr 15

Conference

Conference	34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Country/Territory	Australia
City	Sydney, NSW
Period	2011/04/10 → 2011/04/15

Free keywords

Biophysical parameters
Carbon exchange
Hyperspectral
Lidar
Radiative transfer models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Berni, J. A. J., Kljun, N., Van Gorsel, E., Haverd, V., Leuning, R., Cabello-Leblic, A., Held, A., Hopkinson, C., Chasmer, L., & Youngentob, K. (2011). 3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia.

Berni, J. A.J. ; Kljun, N. ; Van Gorsel, E. et al. / 3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia.

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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.",

keywords = "Biophysical parameters, Carbon exchange, Hyperspectral, Lidar, Radiative transfer models",

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

year = "2011",

language = "English",

note = "34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring ; Conference date: 10-04-2011 Through 15-04-2011",

}

Berni, JAJ, Kljun, N, Van Gorsel, E, Haverd, V, Leuning, R, Cabello-Leblic, A, Held, A, Hopkinson, C, Chasmer, L & Youngentob, K 2011, '3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling', Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia, 2011/04/10 - 2011/04/15.

3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling. / Berni, J. A.J.; Kljun, N.; Van Gorsel, E. et al.
2011. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia.

Research output: Contribution to conference › Paper, not in proceeding

TY - CONF

T1 - 3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling

AU - Berni, J. A.J.

AU - Kljun, N.

AU - Van Gorsel, E.

AU - Haverd, V.

AU - Leuning, R.

AU - Cabello-Leblic, A.

AU - Held, A.

AU - Hopkinson, C.

AU - Chasmer, L.

AU - Youngentob, K.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Biophysical parameters

KW - Carbon exchange

KW - Hyperspectral

KW - Lidar

KW - Radiative transfer models

UR - http://www.scopus.com/inward/record.url?scp=84879759767&partnerID=8YFLogxK

M3 - Paper, not in proceeding

AN - SCOPUS:84879759767

T2 - 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Y2 - 10 April 2011 through 15 April 2011

ER -

Berni JAJ, Kljun N, Van Gorsel E, Haverd V, Leuning R, Cabello-Leblic A et al.. 3D spatial distribution of biophysical parameters derived from hyperspectral and lidar remote sensing. Improving the constraints in land surface modelling. 2011. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia.

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

Abstract

Conference

Free keywords

UN SDGs

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