Skip to Main Content
A multi-scale analysis of landscape statisticsAuthor(s): Douglas H. Cain; Kurt H. Riitters; Kenneth Orvis
Source: Ecology 12:199-212
Publication Series: Miscellaneous Publication
PDF: View PDF (408 KB)
DescriptionIt is now feasible to monitor some aspects of landscape ecological condition nationwide using remotely- sensed imagery and indicators of land cover pattern. Previous research showed redundancies among many reported pattern indicators and identified six unique dimensions of land cover pattern. This study tested the stability of those dimensions and representative pattern indicators across different types of land cover maps. The maps were derived from Landsat Thematic Mapper images of the Tennessee River and Chesapeake Bay watersheds, and they differed in resolution, number of attributes, and method of delineating landscape unit boundaries. A multivariate analysis of pattern metrics was conducted separately for each map, and the results were then compared among types of maps. Measures of land cover diversity, texture, and fractal dimension were more consistent than measures of average patch shape or compaction among the land cover maps.
- 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.
CitationCain, Douglas H.; Riitters, Kurt H.; Orvis, Kenneth. 1997. A multi-scale analysis of landscape statistics. Ecology 12:199-212
- Spatial patterns in land cover of exurbanizing watersheds in southeastern Michigan
- A factor analysis of landscape pattern and structure metrics
- Neutral model analysis of landscape patterns from mathematical morphology
XML: View XML