文章基本信息

标题：Mapping aquatic vegetation of the Rakamaz-Tiszanagyfalui Nagy-Morotva using hyperspectral imagery
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作者：PéTER BURAI ; GABRIELLA ZSUZSANNA ; L.VEI2–CSABA LéNáRT 等
期刊名称：Acta Geographica Debrecina. Landscape and Environment Series
印刷版ISSN：1789-4921
电子版ISSN：1789-7556
出版年度：2010
卷号：4
期号：1
出版社：University of Debrecen
摘要：Rapid development inremote sensing technologies provides moreand morereliable methods for environmental assessment.For mostwetlands, it isdifficult to walk-in without disturbing the endangered species living there;therefore, application of opportunities provided by remote sensing has a great importance in population-mapping.One effective tool of vegetationpattern estimation ishyperspectral remote sensing, which can be usedfor association and species levelmapping as well,due to high groundresolution. The Rakamaz-Tiszanagyfalui Nagy-morotva is an oxbow lake,located in the north-eastern part of Hungary. For this study, awetland area of 1.17 km2containingthe original water bad and shorelinewasselected. For the image analysis, images taken by an AISA DUAL system hyperspectral sensorwere used. At the same time, 7 main vegetation classeswere separated, which aretypical for the sample plot designated on the test site. Classification was performed by the master areas signed by the most common associations of the Rakamaz-Tiszanagyfalui Nagy-morotva with determined spectrums. During the image analysis,SAM classification method was used, where radian values were optimized by the results of classification performed at the control area.
关键词：remote sensing; hyperspectral; image classification; ecology; wetland; oxbow lake