Detecting vegetation change using multi-temporal aerial photographs at Cadillac Mountain in Acadia National Park, Maine
Kim MK, Ednie AJ, Daigle JJ. 2007. Detecting vegetation change using multi-temporal aerial photographs at Cadillac Mountain in Acadia National Park, Maine. Pages 300-306. In Burns R and Robinson K (ed): 2006 Northeastern Recreation Research Symposium. Bolton Landing, New York. April 9-11, 2006. US Forest Service. Newtown Square, Pennsylvania
From official abstract: "Cadillac Mountain, the highest peak on the Eastern Seaboard, is a major destination for Acadia National Park visitors. Managing vegetation impacts on Cadillac is extremely challenging given the high use and fragile environmental conditions. A number of direct and indirect management strategies have been employed to help to reduce the amount of vegetation impact. The primary purpose of this study was to detect vegetation change on Cadillac Mountain using multi-temporal remote sensing technology. Through image processing steps under ERDAS imagine 8.7, and ESRI ArcGIS 9, major changes between dates were analyzed. Vegetation density analysis was performed to identify distribution of vegetation regrowth and reduction. Study results show detailed measurable vegetation changes in terms of vegetation regrowth and reduction. Vegetation change detection is therefore a feasible approach for assessing vegetation impacts in Acadia National Park. Remote sensing imagery analysis could provide valuable baseline data for monitoring visitor impacts."
- Type
- Conference Proceeding Paper
- Authors
- Kim, Min; Ednie, Andrea; Daigle, John
- Date of Issue
- 2006
- Units
- ACAD
- Keywords
- alpine, human impact, impacts, mountains, vegetation