DocumentCode :
3296974
Title :
Integrating Remote Sensing and Wetland Ecology: a Case Study on South African Wetlands
Author :
De Roeck, Els ; Miya, Mtemi ; Verhoesf, N. ; Batelaan, Okke ; Brendonck, Luc
Author_Institution :
Catholic Univ. of Leuven, Leuven
fYear :
2007
fDate :
18-20 July 2007
Firstpage :
1
Lastpage :
5
Abstract :
Remote sensing is a valuable tool for wetland ecology and conservation. With this study, we aimed at providing relevant information on wetland characteristics, obtained by standard techniques and relatively cheap optical imagery. The number, surface area, distance, and dynamics of temporary and permanent wetlands were determined for the Western Cape, South Africa. These characteristics are important for the metacommunity structure of amphibians and invertebrates. Isolated open water wetlands were classified by supervised maximum likelihood classification on seven Landsat images (1987 -2002). Imagery acquired in summer contained fewer wetlands than those acquired in winter. The number of winter wetlands showed an increasing trend over time, which was not significantly correlated with yearly rainfall. Most classified wetlands were smaller than 1.5 ha. The distance to the nearest-wetland was longer in winter. In comparison to temporary wetlands, fewer, but on average larger permanent wetlands were classified. The relatively high number of wetlands is essential for local and migrating wading birds. The many small observed wetlands could also serve as stepping-stones, important for species conservation. We conclude that through relatively cheap imagery and standard geographical information system (GIS) techniques, basic ecological data can be generated. However, the resolution of Landsat imagery is too low to detect small wetlands. High accuracy images (such as IKONOS) would give more detailed results, but the high cost and the lack of long term data are at present restricting factors for their use by ecologists.
Keywords :
ecology; geographic information systems; geophysics computing; image classification; maximum likelihood estimation; moisture; remote sensing; soil; AD 1987 to 2002; GIS techniques; Geographical Information System; IKONOS; Landsat images; South Africa; Western Cape; amphibians; invertebrates; metacommunity structure; open water wetlands; optical imagery; rainfall; remote sensing; supervised maximum likelihood classification; wading birds migration; wetland characteristics; wetland conservation; wetland ecology; Africa; Birds; Environmental factors; Geographic Information Systems; Image resolution; Information systems; Maximum likelihood detection; Optical sensors; Remote sensing; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the
Conference_Location :
Leuven
Print_ISBN :
1-4244-0846-6
Electronic_ISBN :
1-4244-0846-6
Type :
conf
DOI :
10.1109/MULTITEMP.2007.4293033
Filename :
4293033
Link To Document :
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