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Detecting vegetation change using multi-temporal aerial photographs at Cadillac Mountain in Acadia National Park, MaineAuthor(s): Min Kook Kim; Andrea J. Ednie; John J. Daigle
Source: In: Burns, R.; Robinson, K., comps. Proceedings of the 2006 Northeastern Recreation Research Symposium; 2006 April 9-11; Bolton Landing, NY. Gen. Tech. Rep. NRS-P-14. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 300-306.
Publication Series: General Technical Report - Proceedings
Station: Northern Research Station
PDF: View PDF (471.72 KB)
DescriptionCadillac 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.
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CitationKim, Min Kook; Ednie, Andrea J.; Daigle, John J. 2007. Detecting vegetation change using multi-temporal aerial photographs at Cadillac Mountain in Acadia National Park, Maine. In: Burns, R.; Robinson, K., comps. Proceedings of the 2006 Northeastern Recreation Research Symposium; 2006 April 9-11; Bolton Landing, NY. Gen. Tech. Rep. NRS-P-14. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 300-306.
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