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Proceedings Paper

Monitoring the invasion of Phragmites australis in coastal marshes of Louisiana, USA, using multisource remote sensing data
Author(s): Pablo H. Rosso; James T. Cronin; Richard D. Stevens
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Paper Abstract

Phragmites australis a native marshland species to the North American Atlantic Coast is presently expanding to new habitats at very high rates. To understand the causes and consequences of this invasion, monitoring programs, especially at the Gulf Coast, need to be established. The first step to this is to obtain a method for accurate mapping Phragmites distribution. In this study an object oriented classification approach that combines lidar and multispectral imagery is proposed. After segmentation of a dataset of three multispectral bands plus a lidar based digital surface model, two classification methods were explored: a class assignment (CA) and a nearest neighbor classification (NNC). CA requires more involvement and knowledge form the analyst, but the decisions to be made are better understood than in the NNC. Both methods performed similarly, and were able to map most of the Phragmites present in the study area. Results show that the use of multi-source data not only can produce accurate distribution maps for future monitoring, but also guide on present day surveys and even help in the interpretation of old data to map past conditions.

Paper Details

Date Published: 1 October 2008
PDF: 9 pages
Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71100B (1 October 2008); doi: 10.1117/12.800269
Show Author Affiliations
Pablo H. Rosso, Univ. Osnabrück (Germany)
James T. Cronin, Louisiana State Univ. (United States)
Richard D. Stevens, Louisiana State Univ. (United States)

Published in SPIE Proceedings Vol. 7110:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
Ulrich Michel; Daniel L. Civco; Manfred Ehlers; Hermann J. Kaufmann, Editor(s)

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