Skip to Main Content
Assessing urban forest canopy cover using airborne or satellite imageryAuthor(s): Jeffrey T. Walton; David J. Nowak; Eric J. Greenfield
Source: Arboriculture & Urban Forestry. 34(6): 334-340.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: Download Publication (95.58 KB)
DescriptionWith the availability of many sources of imagery and various digital classification techniques, assessing urban forest canopy cover is readily accessible to most urban forest managers. Understanding the capability and limitations of various types of imagery and classification methods is essential to interpreting canopy cover values. An overview of several remote sensing techniques used to assess urban forest canopy cover is presented. A case study comparing canopy cover percentages for Syracuse, New York, U.S. interprets the multiple values developed using different methods. Most methods produce relatively similar results, but the estimate based on the National Land Cover Database is much lower.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- 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.
CitationWalton, Jeffrey T.; Nowak, David J.; Greenfield, Eric J. 2008. Assessing urban forest canopy cover using airborne or satellite imagery. Arboriculture & Urban Forestry. 34(6): 334-340.
Keywordsremote sensing, urban tree canopy
- Monitoring urban tree cover using object-based image analysis and public domain remotely sensed data
- Difficulties with estimating city-wide urban forest cover change from national, remotely-sensed tree canopy maps
- Building capacity for providing canopy cover and canopy height at FIA plot locations using high-resolution imagery and leaf-off LiDAR
XML: View XML