Translate the User Manual of the Semi-Automatic Classification Plugin

The User Manual of the Semi-Automatic Classification Plugin (SCP) has reached version 4, and it is available in English as PDF here, and online http://semiautomaticclassificationmanual-v4.readthedocs.org/en/latest/ .

However, it is possible to easily translate the user manual into any language, because it is written in reStructuredText as markup language (using Sphinx).

Therefore, your contribution is fundamental for the translation of the manual into your language.
The following guide illustrates the main steps for the translation, which can be performed:

1. using the free online service Transifex;
2. using the gettext .po files.

Major Update: Semi-Automatic Classification Plugin v. 4.8.0 - Download Sentinel Data

This post is about a major update for the Semi-Automatic Classification Plugin for QGIS, version 4.8.0.

Following the changelog:

-added tab for searching and downloading Sentinel-2 images from https://scihub.esa.int/dhus/

Tutorial: Supervised Classification of Land Cover and Mosaic of Several Landsat images

This tutorial is about the land cover classification of several Landsat images in order to create a classification of a large study area using the Semi-Automatic Classification Plugin (SCP). For very basic tutorials see Tutorial 1: Your First Land Cover Classification and Tutorial 2: Land Cover Classification of Landsat Images.

The study area of this tutorial is Costa Rica , a Country in Central America that has an extension of about 51,000 square kilometres. In particular, we are going to classify Landsat 8 and Landsat 7 images, masking clouds and creating a mosaic of classifications. We are going to identify the following land cover classes:

1. Built-up;
2. Vegetation;
3. Soil;
4. Water.

Following the video of this tutorial.