Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Use of high resolution lidar and hyperspectral data to evaluate the sensitivity of net ecosystem exchange to stand structural and plant chemical properties

Van Gorsel, E. ; Kljun, N. LU orcid ; Leuning, R. ; Berni, J. A.J. ; Cabello-Leblic, A. ; Held, A. ; Haverd, V. ; Hopkinson, Ch ; Chasmer, L. and Youngentob, K. (2011) 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Abstract

We use a fused high resolution Lidar and hyperspectral dataset to produce gridded parameter maps that are used as input into land surface models (LSMs). The maps contain stand structural information (e.g. leaf area index) derived from lidar data and information derived from reflectance data (e.g. chlorophyll concentration). Ground based leaf level measurements (e.g. maximum rate of carboxilation and the potential rate of electron transport) are upscaled to the area with the remotely sensed data. Using both LSM output and flux data analysis we demonstrate that the spatial variability of these parameters has a major impact on the resulting net ecosystem exchange. To account for this spatial variability we propose to use the parameter maps... (More)

We use a fused high resolution Lidar and hyperspectral dataset to produce gridded parameter maps that are used as input into land surface models (LSMs). The maps contain stand structural information (e.g. leaf area index) derived from lidar data and information derived from reflectance data (e.g. chlorophyll concentration). Ground based leaf level measurements (e.g. maximum rate of carboxilation and the potential rate of electron transport) are upscaled to the area with the remotely sensed data. Using both LSM output and flux data analysis we demonstrate that the spatial variability of these parameters has a major impact on the resulting net ecosystem exchange. To account for this spatial variability we propose to use the parameter maps derived from the remotely sensed data to replace fixed parameters in the LSM.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and
publishing date
type
Contribution to conference
publication status
published
subject
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:84879752942
language
English
LU publication?
no
id
e007903d-447d-4207-8e4f-17931b81bdea
date added to LUP
2022-01-31 16:45:29
date last changed
2022-03-14 07:38:32
@misc{e007903d-447d-4207-8e4f-17931b81bdea,
  abstract     = {{<p>We use a fused high resolution Lidar and hyperspectral dataset to produce gridded parameter maps that are used as input into land surface models (LSMs). The maps contain stand structural information (e.g. leaf area index) derived from lidar data and information derived from reflectance data (e.g. chlorophyll concentration). Ground based leaf level measurements (e.g. maximum rate of carboxilation and the potential rate of electron transport) are upscaled to the area with the remotely sensed data. Using both LSM output and flux data analysis we demonstrate that the spatial variability of these parameters has a major impact on the resulting net ecosystem exchange. To account for this spatial variability we propose to use the parameter maps derived from the remotely sensed data to replace fixed parameters in the LSM.</p>}},
  author       = {{Van Gorsel, E. and Kljun, N. and Leuning, R. and Berni, J. A.J. and Cabello-Leblic, A. and Held, A. and Haverd, V. and Hopkinson, Ch and Chasmer, L. and Youngentob, K.}},
  language     = {{eng}},
  title        = {{Use of high resolution lidar and hyperspectral data to evaluate the sensitivity of net ecosystem exchange to stand structural and plant chemical properties}},
  year         = {{2011}},
}