A rule-based approach for mapping macrophyte communities using multi-temporal aquatic vegetation indices
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- 作者：Paolo Villaa ; villa.p@irea.cnr.it" class="auth_mail" title="E-mail the corresponding author ; Mariano Bresciania ; Rossano Bolpagnib ; Monica Pinardia ; b ; Claudia Giardinoa
- 关键词：Aquatic plants ; Functional groups ; Shallow lakes ; Classification ; Classification Tree (CT) ; NDVI ; NDAVI ; WAVI ; Landsat 7 ETM ; + ; ; Landsat 8 OLI ; ALOS AVNIR-2
- 刊名：Remote Sensing of Environment
- 出版年：2015
- 出版时间：15 December 2015
- 年：2015
- 卷：171
- 期：Complete
- 页码：218-233
- 全文大小：2870 K
文摘
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A rule-based macrophyte functional type classification scheme was implemented.
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Best performing input features are derived from multi-temporal WAVI profiles.
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Overall accuracy of 90.1% over four test sites, in temperate to subtropical areas
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Detection errors for main functional types < 20%, with misclassified mixed stands
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Consistent accuracy results (85.7–94.5%) achieved over independent validation cases