Abstract
Canopy spectral invariant variables, escape probability and recollision probability, are wavelength independent and intrinsic canopy structure properties. They provide a physical interpretation of the correlation between canopy architecture and multi-angle spectral data. The 500m Moderate resolution Imaging Spectroadiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product from study sites at Howland Forest, Maine are used to develop multivariate linear regression models to estimate canopy vertical structure using both escape probabilities and directional reflectance. These are compared with canopy height information which has been retrieved from the airborne Laser Vegetation Imaging Sensor (LVIS) at a finer scale spatial resolution. Both the escape probability and the directional reflectance approaches achieve similar results with correlation coefficients of 0.63-0.66. This suggests that the MODIS 500m BRDF data can be useful in extrapolating limited lidar information on canopy vertical structure to larger regional areas.
| Original language | English |
|---|---|
| Title of host publication | 2nd Workshop on Hyperspectral Image and Signal Processing |
| Subtitle of host publication | Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program |
| DOIs | |
| State | Published - 29 Nov 2010 |
| Event | 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, Iceland Duration: 14 Jun 2010 → 16 Jun 2010 |
Other
| Other | 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 |
|---|---|
| Country | Iceland |
| City | Reykjavik |
| Period | 14/06/10 → 16/06/10 |
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Keywords
- Canopy vertical structure
- LVIS
- MODIS BRDF
Cite this
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Canopy vertical structure using modis bidirectional reflectance data. / Wang, Zhuosen; Schaaf, Crystal B.; Philip, Lewis; Knyazikhin, Yuri; Schull, Mitchell A.; Strahler, Alan H.; Myneni, Ranga B.; Chopping, Mark.
2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. 5594952.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
TY - GEN
T1 - Canopy vertical structure using modis bidirectional reflectance data
AU - Wang, Zhuosen
AU - Schaaf, Crystal B.
AU - Philip, Lewis
AU - Knyazikhin, Yuri
AU - Schull, Mitchell A.
AU - Strahler, Alan H.
AU - Myneni, Ranga B.
AU - Chopping, Mark
PY - 2010/11/29
Y1 - 2010/11/29
N2 - Canopy spectral invariant variables, escape probability and recollision probability, are wavelength independent and intrinsic canopy structure properties. They provide a physical interpretation of the correlation between canopy architecture and multi-angle spectral data. The 500m Moderate resolution Imaging Spectroadiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product from study sites at Howland Forest, Maine are used to develop multivariate linear regression models to estimate canopy vertical structure using both escape probabilities and directional reflectance. These are compared with canopy height information which has been retrieved from the airborne Laser Vegetation Imaging Sensor (LVIS) at a finer scale spatial resolution. Both the escape probability and the directional reflectance approaches achieve similar results with correlation coefficients of 0.63-0.66. This suggests that the MODIS 500m BRDF data can be useful in extrapolating limited lidar information on canopy vertical structure to larger regional areas.
AB - Canopy spectral invariant variables, escape probability and recollision probability, are wavelength independent and intrinsic canopy structure properties. They provide a physical interpretation of the correlation between canopy architecture and multi-angle spectral data. The 500m Moderate resolution Imaging Spectroadiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product from study sites at Howland Forest, Maine are used to develop multivariate linear regression models to estimate canopy vertical structure using both escape probabilities and directional reflectance. These are compared with canopy height information which has been retrieved from the airborne Laser Vegetation Imaging Sensor (LVIS) at a finer scale spatial resolution. Both the escape probability and the directional reflectance approaches achieve similar results with correlation coefficients of 0.63-0.66. This suggests that the MODIS 500m BRDF data can be useful in extrapolating limited lidar information on canopy vertical structure to larger regional areas.
KW - Canopy vertical structure
KW - LVIS
KW - MODIS BRDF
UR - http://www.scopus.com/inward/record.url?scp=78649287114&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS.2010.5594952
DO - 10.1109/WHISPERS.2010.5594952
M3 - Conference contribution
SN - 9781424489077
BT - 2nd Workshop on Hyperspectral Image and Signal Processing
ER -