Canopy vertical structure using modis bidirectional reflectance data

Zhuosen Wang; Crystal B. Schaaf; Lewis Philip; Yuri Knyazikhin; Mitchell A. Schull; Alan H. Strahler; Ranga B. Myneni; Mark Chopping

doi:10.1109/WHISPERS.2010.5594952

Canopy vertical structure using modis bidirectional reflectance data

Zhuosen Wang, Crystal B. Schaaf, Lewis Philip, Yuri Knyazikhin, Mitchell A. Schull, Alan H. Strahler, Ranga B. Myneni, Mark Chopping

Earth and Environmental Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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	https://doi.org/10.1109/WHISPERS.2010.5594952
State	Published - 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

Publication series

Name	2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Other

Other	2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
Country/Territory	Iceland
City	Reykjavik
Period	14/06/10 → 16/06/10

Keywords

Canopy vertical structure
LVIS
MODIS BRDF

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10.1109/WHISPERS.2010.5594952

Cite this

Wang, Z., Schaaf, C. B., Philip, L., Knyazikhin, Y., Schull, M. A., Strahler, A. H., Myneni, R. B., & Chopping, M. (2010). Canopy vertical structure using modis bidirectional reflectance data. In 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program Article 5594952 (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program). https://doi.org/10.1109/WHISPERS.2010.5594952

Wang, Zhuosen ; Schaaf, Crystal B. ; Philip, Lewis et al. / Canopy vertical structure using modis bidirectional reflectance data. 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program).

@inproceedings{abd506186a04481e9ce3fc675d885b7f,

title = "Canopy vertical structure using modis bidirectional reflectance data",

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.",

keywords = "Canopy vertical structure, LVIS, MODIS BRDF",

author = "Zhuosen Wang and Schaaf, {Crystal B.} and Lewis Philip and Yuri Knyazikhin and Schull, {Mitchell A.} and Strahler, {Alan H.} and Myneni, {Ranga B.} and Mark Chopping",

year = "2010",

doi = "10.1109/WHISPERS.2010.5594952",

language = "English",

isbn = "9781424489077",

series = "2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program",

booktitle = "2nd Workshop on Hyperspectral Image and Signal Processing",

note = "2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 ; Conference date: 14-06-2010 Through 16-06-2010",

}

Wang, Z, Schaaf, CB, Philip, L, Knyazikhin, Y, Schull, MA, Strahler, AH, Myneni, RB & Chopping, M 2010, Canopy vertical structure using modis bidirectional reflectance data. in 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program., 5594952, 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program, 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010, Reykjavik, Iceland, 14/06/10. https://doi.org/10.1109/WHISPERS.2010.5594952

Canopy vertical structure using modis bidirectional reflectance data. / Wang, Zhuosen; Schaaf, Crystal B.; Philip, Lewis et al.
2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. 5594952 (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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

Y1 - 2010

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

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DO - 10.1109/WHISPERS.2010.5594952

M3 - Conference contribution

AN - SCOPUS:78649287114

SN - 9781424489077

T3 - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

BT - 2nd Workshop on Hyperspectral Image and Signal Processing

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Y2 - 14 June 2010 through 16 June 2010

ER -

Wang Z, Schaaf CB, Philip L, Knyazikhin Y, Schull MA, Strahler AH et al. Canopy vertical structure using modis bidirectional reflectance data. In 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. 5594952. (2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program). doi: 10.1109/WHISPERS.2010.5594952

Canopy vertical structure using modis bidirectional reflectance data

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