Skip to Main Content
Using multi-spectral landsat imagery to examine forest health trends at Fort Benning, GeorgiaAuthor(s): Shawna L. Reid; Joan L. Walker; Abigail Schaaf
Source: In:Proceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 614 p.
Publication Series: General Technical Report (GTR)
Station: Southern Research Station
PDF: Download Publication (372.0 KB)
DescriptionAssessing vegetation health attributes like canopy density or live crown ratio and ecological processes such as growth or succession ultimately requires direct measures of plant communities. However, on-theground sampling is labor and time intensive, effectively limiting the amount of forest that can be evaluated. Radiometric data collected with a variety of sensors from satellite platforms provide a partial solution to this challenge. Because plant function via photosynthesis is directly tied to electromagnetic energy, vegetation function has been successfully related to radiometric data (Lawley and others In press). Various indices have been developed to interpret vegetative functions or conditions including basal area, species composition, moisture stress, and damage from insects or disease (Liew and others 2008; Bannari and others 1995). The normalized difference vegetation index (NDVI), based on reflectance in the red (R) and near infrared (NIR) bands of the electromagnetic spectrum (NDVI = (NIR - R) / (NIR + R); range:-1 to 1), has been shown to be highly correlated with photosynthetic capacity, net primary productivity, leaf area index, and evapotranspiration. Further, time-series of NDVI have proven useful for evaluating such functions as canopy growth rates, and phenological events like the onset of spring (Pettorelli 2013).
- You may send email to email@example.com 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.
CitationReid, Shawna L.; Walker, Joan L.; Schaaf, Abigail. 2016. Using multi-spectral landsat imagery to examine forest health trends at Fort Benning, Georgia. In:Proceedings of the 18th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-212. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 3 p.
- Stomatal conductance, canopy temperature, and leaf area index estimation using remote sensing and OBIA techniques
- NDVI Changes Show Warming Increases the Length of the Green Season at Tundra Communities in Northern Alaska: A Fine-Scale Analysis
- Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?
XML: View XML