Two-component wind fields from scanning aerosol lidar and motion estimation algorithms

Shane D. Mayor; Pierre Dérian; Christopher F. Mauzey; Masaki Hamada

doi:10.1117/12.2025337

17 September 2013 Two-component wind fields from scanning aerosol lidar and motion estimation algorithms

Shane D. Mayor, Pierre Dérian, Christopher F. Mauzey, Masaki Hamada

Proceedings Volume 8872, Lidar Remote Sensing for Environmental Monitoring XIV; 887208 (2013) https://doi.org/10.1117/12.2025337
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

We report on the implementation and testing of a new wavelet-based motion estimation algorithm to estimate horizontal vector wind fields in real-time from horizontally-scanning elastic backscatter lidar data, and new experimental results from field work conducted in Chico, California, during the summer of 2013. We also highlight some limitations of a traditional cross-correlation method and compare the results of the wavelet-based method with those from the cross-correlation method and wind measurements from a Doppler lidar.

Citation Download Citation

Shane D. Mayor, Pierre Dérian, Christopher F. Mauzey, and Masaki Hamada "Two-component wind fields from scanning aerosol lidar and motion estimation algorithms", Proc. SPIE 8872, Lidar Remote Sensing for Environmental Monitoring XIV, 887208 (17 September 2013); https://doi.org/10.1117/12.2025337

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available