Version 5.3.6.1
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| SCP |
Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) is a free open source plugin for QGIS that allows for the semi-automatic classification (also known as supervised classification) of remote sensing images.
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| SCP |
It provides several tools for the download of free images, the preprocessing, the postprocessing, and the
raster calculation (please see What can I do with the SCP ? (page 257)).
The overall objective of SCP is to provide a set of intertwined tools for raster processing in order to make an
automatic workflow and ease the land cover classification, which could be performed also by people whose main
field is not remote sensing.
The first version of the SCP was written by Luca Congedo in 2012 for the ACC Dar
Project in order to create a tool for the classification of land cover in an affordable and automatic fashion (read
this working paper). Following versions of SCP were developed as personal commitment to the remote sensing
field and open source software.
SCP version 5 (codename : Kourou) is developed in the frame of Luca Congedo’s
PhD in Landscape and Environment at Sapienza University of Rome.
http://www.youtube.com/watch?v=K2mIa66e6h0
This user manual provides information about the Installation du plugin (page 7) of SPC and the The Interface
of SCP (page 29), with detailed information about all the functions. In addition, the Brief Introduction to Remote
Sensing (page 131) illustrates the basic concepts and definitions which are required for using the SCP.
Basic Tutorials (page 163) are available for learning the main functions of SCP and Thematic Tutorials (page 199)
illustrate specific tools
For more information and tutorials visit the official site
From GIS to Remote Sensing
How to cite :
Congedo Luca (2016). Semi-Automatic Classification Plugin Documentation. DOI : http://dx.doi.org/10.13140/
RG.2.2.29474.02242/1
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