Category:Remote sensing and image processing with open source software

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==Software==
 
==Software==
We use the software [http://www.qgis.org/en/site QGIS (stable release)] 3.26 "Buenos Aires" with integrated [http://www.gdal.org GDAL], [https://orfeo-toolbox.org Orfeo ToolBox], and Python 3.9 [https://www.python.org/downloads/release/python-390 Python 3.9], and R [https://www.r-project.org R Project for Statistical Computing].
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We use the software [http://www.qgis.org/en/site QGIS (stable release)] 3.26 "Buenos Aires" with integrated [http://www.gdal.org GDAL], [https://orfeo-toolbox.org Orfeo ToolBox], and [https://www.python.org/downloads/release/python-390 Python 3.9], and [https://www.r-project.org R Project for Statistical Computing].
  
 
[[file:Qgis_Logo.png|150px]] [[file:gdal_logo.png|100px]] [[file:logoOTB.png|100px]]  [[file:Rlogo-1.png|100px]]
 
[[file:Qgis_Logo.png|150px]] [[file:gdal_logo.png|100px]] [[file:logoOTB.png|100px]]  [[file:Rlogo-1.png|100px]]

Latest revision as of 11:04, 18 October 2022

[edit] Introduction

With the widespread availability of satellite and aircraft remote sensing data there is need in capacity building in key technology of image processing while avoid purchasing expensive software licenses and use software that run on any standard Personal Computer.

The main objective of the course is to give a compact and practical introduction to the geospatial software platform QGIS for applications using remote sensing data. Coverage of theoretical background of remote sensing is given at the beginning of every computer lab. The combined lecture and lab makes the student familiar with principles of digital image processing and GIS integration, with a focus on applications in forestry and ecology. Practical software training is given expecting students to learn problem solving in the field of geospatial processing. Students are encouraged to use and and install the software on own laptops.


[edit] Getting started

  • Search for Articles
    If you need information on a special topic, just use the search function in the right corner on top of this page by typing in one or more keywords and hitting Enter.


  1. QGIS Tutorial
  2. Monteverdi2 Tutorial
  3. SNAP Tutorial
  • Improve it!
    We highly encourage you to improve the wiki and write and edit articles all by your self. This will keep it up to date and adapt it more and more to students needs. Don't be afraid, you really don't have to be a geek to do this!
    Up to now, you need to have an account to edit articles. Just ask for invitation here if you want to give it a shot.

[edit] Software

We use the software QGIS (stable release) 3.26 "Buenos Aires" with integrated GDAL, Orfeo ToolBox, and Python 3.9, and R Project for Statistical Computing.

Qgis Logo.png Gdal logo.png LogoOTB.png Rlogo-1.png

[edit] Conventions

In the articles related to the tutorial, several conventions are used to indicate certain items and actions:

  • rivers.shp - A file or directory name
  • Enter - A key on the keyboard, or a button on the QGIS GUI
  • Text you type - Text you type or select in a drop-down-box
  • Menu --> Item - an item you find in a pull-down menu on the QGIS GUI

[edit] Data we use

Subcategories

This category has the following 2 subcategories, out of 2 total.

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Pages in category "Remote sensing and image processing with open source software"

The following 2 pages are in this category, out of 2 total.

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