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The use of Landsat data for investigating the long-term trends in wetland change at Long Point, Ontario
- Source :
- Canadian Journal of Remote Sensing. 31:240-254
- Publication Year :
- 2005
- Publisher :
- Informa UK Limited, 2005.
-
Abstract
- Shoreline wetlands in the Great Lakes basin are susceptible to frequent changes in vegetation composition due to fluctuations in climate and water level. Although water-level changes occur naturally and are essential to maintain productivity, the magnitude and rate of these changes can have a significant effect on the wetland ecosystems. From a management and scientific viewpoint, it is important to be able to map and monitor these long-term changes. Using Long Point on Lake Erie as a test site, the goal of this research study is to refine methods for using multiple dates of Landsat imagery to map and monitor wetlands over a relatively long period of time. Landsat images covering the period from 1976 to 1999 are used to produce multitemporal normalized difference vegetation index (NDVI) images. Two change-detection methods, postclassification comparison and multitemporal data clustering, were selected to determine patterns of change in the Long Point wetlands over the 23 year period. These patterns are co...
Details
- ISSN :
- 17127971 and 07038992
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Canadian Journal of Remote Sensing
- Accession number :
- edsair.doi...........94958d30c395494b9892579c60d84e00