Skip to Main Content
A comparison of forest canopy models derived from LIDAR and INSAR data in a Pacific Northwest conifer forest.Author(s): Hans-Erik Andersen; Robert J. McGaughey; Ward W. Carson; Stephen E. Reutebuch; Bryan Mercer; Jeremy Allan
Source: International Archives of Photogrammetry and Remote Sensing. 34(Part 3/W13): 211-217.
Publication Series: Scientific Journal (JRNL)
PDF: Download Publication (2.77 MB)
DescriptionActive remote sensing technologies, including interferometric radar (InSAR) and airborne laser scanning (LIDAR) have the potential to provide accurate information relating to three-dimensional forest canopy structure over extensive areas of the landscape. In order to assess the capabilities of these alternative systems for characterizing the forest canopy dimensions, canopy- and terrain-level elevation models derived from multi-frequency InSAR and high-density LIDAR data were compared to photogrammetric forest canopy measurements acquired within a Douglas-fir forest near Olympia, WA. Canopy and terrain surface elevations were measured on large-scale photographs along two representative profiles within this forest area, and these elevations were compared to corresponding elevations extracted from canopy models generated from X-band InSAR and high-density LIDAR data. In addition, the elevations derived from InSAR and LIDAR canopy models were compared to photogrammetric canopy elevations acquired at distinct spot elevations throughout the study area. Results generally indicate that both technologies can provide valuable measurements of gross canopy dimensions. In general, LIDAR elevation models acquired from high-density data more accurately represent the complex morphology of the canopy surface, while InSAR models provide a generalized, less detailed characterization of canopy structure. The biases observed in the InSAR and LIDAR canopy surface models relative to the photogrammetric measurements are likely due to the different physical processes and geometric principles underlying elevation measurement with these active sensing systems.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationAndersen, Hans-Erik; McGaughey, Robert J.; Carson, Ward W.; Reutebuch, Stephen E.; Mercer, Bryan; Allan, Jeremy. 2004. A comparison of forest canopy models derived from LIDAR and INSAR data in a Pacific Northwest conifer forest. International Archives of Photogrammetry and Remote Sensing. 34(Part 3/W13): 211-217.
KeywordsForestry, LIDAR, SAR, photogrammetry, interferometer, comparison, DEM/DTM
- Assessing the influence of flight parameters, interferometric processing, slope and canopy density on the accuracy of X-band IFSAR-derived forest canopy height models.
- Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+
- Active remote sensing.
XML: View XML