Skip to Main Content
Applications of satellite-derived disturbance information in support of sustainable forest managementAuthor(s): Sean Healey; Warren Cohen; Gretchen Moisen
Source: In: Proceedings of the FORESTSAT 2007 Conference, 5-7 November 2007, Montpellier, France. CD. p. 158-162.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: Download Publication (651.54 KB)
DescriptionThe need for current information about the effects of fires, harvest, and storms is evident in many areas of sustainable forest management. While there are several potential sources of this information, each source has its limitations. Generally speaking, the statistical rigor associated with traditional forest sampling is an important asset in any monitoring effort. However, the act of sampling implies that spatial patterns below the level of the estimation unit are ignored. Disturbance information derived from remote sensing is spatially explicit at the local level. This spatially explicit data, which can be validated at the plot level with traditional forest survey information if it is available, can support analyses related to the spatial orientation and context of disturbances as they occur across the landscape. Thus, remote sensing provides a credible and systematic complement to more traditional means of forest monitoring.
- 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.
CitationHealey, Sean; Cohen, Warren; Moisen, Gretchen. 2007. Applications of satellite-derived disturbance information in support of sustainable forest management. In: Proceedings of the FORESTSAT 2007 Conference, 5-7 November 2007, Montpellier, France. CD. p. 158-162.
Keywordsremote sensing, disturbance, harvest, management, prioritization
- A simulation of image-assisted forest monitoring for national inventories
- Monitoring landscape level processes using remote sensing of large plots
- Section summary: Remote sensing
XML: View XML