PCA-based supervised identification of biological soil crusts in multispectral images
It was the aim of the method development to classify types of various biological soil crusts (biocrusts) using principle component analysis (PCA) on multispectral images. To address this aim, visible (RGB) and NIR images of bare sandy soil, algal and moss biocrusts were registered, per channel refle...
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| Format: | Article |
| Language: | English |
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Elsevier
2019-01-01
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| Series: | MethodsX |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016119300585 |