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Semi-Automatic Classification Plugin User Manual
Abstract and Figures
Written by Luca Congedo, the Semi-Automatic Classiﬁcation Plugin is a free plugin for QGIS (open source) that allows for the semi-automatic supervised classiﬁcation of remote sensing images, providing tools to expedite the creation of ROIs (training areas) through region growing or multiple ROI creation. The spectral signatures of training areas can be automatically calculated and displayed in a spectral signature plot. It is possible to import spectral signatures from external sources. Also, a tool allows for the selection and download of spectral signatures from the USGS Spectral Library . Several tools are available for the pre processing phase (image clipping, Landsat conversion to reﬂectance), the classiﬁcation process (Minimum Distance, Maximum Likelihood, Spectral Angle Mapping algorithms, and classiﬁcation previews), and the post processing phase (conversion to vector, accuracy assessment, land cover change, classiﬁcation report). The ﬁrst version of the Semi-Automatic Classiﬁcation Plugin was written by Luca Congedo for the Adapting to Climate Change in Coastal Dar es Salaam Project. For more information and tutorials visit the ofﬁcial site From GIS to Remote Sensing.
Figures - uploaded by Luca Congedo
All figure content in this area was uploaded by Luca Congedo
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