From GIS to Remote Sensing
The NASA ARSET (Applied Remote Sensing Training) held a webinar on Land Cover Classification with Satellite Imagery using the Semi-Automatic Classification Plugin for QGIS.
First, I want to thank very much NASA ARSET for organizing this webinar, and especially the instructor Cindy Schmidt who had very kind words for my plugin and the plugin manual.
It gives me great satisfaction that such an important institution considered using the Semi-Automatic Classification Plugin in a webinar about remote sensing. This inspires me to do even more for the plugin development.
The demand for the webinar was high. For those who couldn't attend the webinar, the materials and recordings are now freely available.
First, I want to thank very much NASA ARSET for organizing this webinar, and especially the instructor Cindy Schmidt who had very kind words for my plugin and the plugin manual.
It gives me great satisfaction that such an important institution considered using the Semi-Automatic Classification Plugin in a webinar about remote sensing. This inspires me to do even more for the plugin development.
The demand for the webinar was high. For those who couldn't attend the webinar, the materials and recordings are now freely available.
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| Image Credit: NASA/USGS, NASA Earth Observatory |
NASA ARSET is a program for fostering the acquisition and use of NASA satellite data for supporting decisions, through online webinars and in-person workshops. The webinar Land Cover Classification with Satellite Imagery covered very interesting objectives such as access and download Landsat imagery and learn the basic steps for performing a supervised classifications using the Semi-Automatic Classification Plugin.
This webinar is organized in two sessions:
- Introduction to Land Cover Classification and QGIS
- Improving a Supervised Land Cover Classification
Slides of presentations, in English and Spanish, and the recordings of both sessions are freely available here.
The entire webinar is very informative, and I recommend watching the recordings.
In particular, I am very glad that the Land Cover Signature Classification (a new classification method that I developed for the Semi-Automatic Classification Plugin) was illustrated during the exercise of the second session.
Again, I wish to thank NASA ARSET for their effort in teaching remote sensing using open source software.
The entire webinar is very informative, and I recommend watching the recordings.
In particular, I am very glad that the Land Cover Signature Classification (a new classification method that I developed for the Semi-Automatic Classification Plugin) was illustrated during the exercise of the second session.
Again, I wish to thank NASA ARSET for their effort in teaching remote sensing using open source software.
For any comment or question, join the Facebook group and the Google+ Community about the Semi-Automatic Classification Plugin.