Comparison of small and large footprint lidar systems in predicting forest structural characteristics

Segun Ogunjemiyo; Dar Roberts; Susan Ustin; Geoffrey Parker

doi:10.1117/12.681034

27 September 2006 Comparison of small and large footprint lidar systems in predicting forest structural characteristics

Segun Ogunjemiyo, Dar Roberts, Susan Ustin, Geoffrey Parker

Proceedings Volume 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III; 629803 (2006) https://doi.org/10.1117/12.681034
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Data from small and large footprint lidar systems were used to derive basic forest attributes from old-growth Douglas fir/western hemlock dominated stands at the Gifford Pinchot National Forest in the Pacific Northwest of United Sates. The derived forest attributes include canopy height and canopy closure. The crown depth estimates were made from the large footprint dataset. The study provides the unique opportunity to compare basic forest attributes derived from small and large footprint lidar systems, and also demonstrates the significance of complimentary analysis of data from different lidar systems in providing expanded information on forest structure. Results of the analysis showed a high degree of agreement between the canopy height estimates from both lidar systems

Citation Download Citation

Segun Ogunjemiyo, Dar Roberts, Susan Ustin, and Geoffrey Parker "Comparison of small and large footprint lidar systems in predicting forest structural characteristics", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629803 (27 September 2006); https://doi.org/10.1117/12.681034

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