Remote Sens. 2012, 4(6), 1758-1780; doi:10.3390/rs4061758
Article

Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests

1 Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, 319 Cheatham Hall (Mail Code 0324), Blacksburg, VA 24061, USA 2 NASA/GSFC, Mail Code 618, Greenbelt, MD 20771, USA 3 IEEE, Baltimore, MD 21201, USA 4 Fugro EarthData Inc., 7320 Executive Way, Frederick, MD 21704, USA
* Author to whom correspondence should be addressed.
Received: 4 May 2012; in revised form: 6 June 2012 / Accepted: 8 June 2012 / Published: 13 June 2012
(This article belongs to the Special Issue Laser Scanning in Forests)
PDF Full-text Download PDF Full-Text [1147 KB, Updated Version, uploaded 21 June 2012 14:20 CEST]
The original version is still available [1141 KB, uploaded 13 June 2012 10:38 CEST]
Abstract: The objective of this study was to determine whether leaf area index (LAI) in temperate mixed forests is best estimated using multiple-return airborne laser scanning (lidar) data or dual-band, single-pass interferometric synthetic aperture radar data (from GeoSAR) alone, or both in combination. In situ measurements of LAI were made using the LiCor LAI-2000 Plant Canopy Analyzer on 61 plots (21 hardwood, 36 pine, 4 mixed pine hardwood; stand age ranging from 12-164 years; mean height ranging from 0.4 to 41.2 m) in the Appomattox-Buckingham State Forest, Virginia, USA. Lidar distributional metrics were calculated for all returns and for ten one meter deep crown density slices (a new metric), five above and five below the mode of the vegetation returns for each plot. GeoSAR metrics were calculated from the X-band backscatter coefficients (four looks) as well as both X- and P-band interferometric heights and magnitudes for each plot. Lidar metrics alone explained 69% of the variability in LAI, while GeoSAR metrics alone explained 52%. However, combining the lidar and GeoSAR metrics increased the R2 to 0.77 with a CV-RMSE of 0.42. This study indicates the clear potential for X-band backscatter and interferometric height (both now available from spaceborne sensors), when combined with small-footprint lidar data, to improve LAI estimation in temperate mixed forests.
Keywords: deciduous forests; coniferous forests; silviculture; leaf area index; remote sensing; laser scanning; InSAR; dual band single pass interferometric synthetic aperture radar

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Peduzzi, A.; Wynne, R.H.; Thomas, V.A.; Nelson, R.F.; Reis, J.J.; Sanford, M. Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests. Remote Sens. 2012, 4, 1758-1780.

AMA Style

Peduzzi A, Wynne RH, Thomas VA, Nelson RF, Reis JJ, Sanford M. Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests. Remote Sensing. 2012; 4(6):1758-1780.

Chicago/Turabian Style

Peduzzi, Alicia; Wynne, Randolph H.; Thomas, Valerie A.; Nelson, Ross F.; Reis, James J.; Sanford, Mark. 2012. "Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests." Remote Sens. 4, no. 6: 1758-1780.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert