Research on Vegetation Extraction,Segmentation and Classification of the Loess Plateau Based on Drone Multi-Spectral
[Purposes]As the main component of the ecosystem,the type and quantity of vegetation and its changes have an important impact on the ecosystem.Exploring the optimal segmentation scale for veg-etation extraction and segmentation in small watersheds of the Loess Plateau in China is helpful to ex-tract vegetation information quickly and accurately,which is of great significance for monitoring the eco-system status of the Loess Plateau and maintaining ecosystem stability.[Methods]Based on the multi-spectral image and object-oriented method of UAV in Chaigou watershed of Wuqi County,the eCogni-tion software was used to study the multi-scale segmentation of the image.[Findings]After analysis,the segmentation effect of the image is the best when the segmentation scale is 130,the shape weight is 0.5,and the compact weight is 0.5.Based on the segmentation results,the texture features and spectral fea-tures are selected as the classification indicators,and the random forest method is used to classify the im-ages.The overall classification accuracy and Kappa coefficient are 96.2%and 0.951,respectively.[Con-clusions]The research conclusions can provide technical reference for the optimization of vegetation structure in Chaigou watershed and the ecological environment protection and vegetation restoration in the Loess Plateau.
drone multispectralmulti-scale segmentationvegetation extractionand small watersheds on the loess plateau
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