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 - 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

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	Iceland
City	Reykjavik
Period	14/06/10 → 16/06/10

Keywords

Canopy vertical structure
LVIS
MODIS BRDF

Access to Document

10.1109/WHISPERS.2010.5594952

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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 [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 ; Knyazikhin, Yuri ; Schull, Mitchell A. ; Strahler, Alan H. ; Myneni, Ranga B. ; Chopping, Mark. / 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).

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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",

month = nov,

day = "29",

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 = "null ; Conference date: 14-06-2010 Through 16-06-2010",

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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; 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 (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

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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

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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.

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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

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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). https://doi.org/10.1109/WHISPERS.2010.5594952