From GIS to Remote Sensing
NASA ARSET (Applied Remote Sensing Training) is a program for fostering the acquisition and use of NASA satellite data for supporting decisions, through online webinars and in-person workshops.
In particular, free webinars are available in the following areas: Disasters, Health & Air Quality, Land, Water Resources, and Wildfires.
The upcoming webminar provided by NASA ARSET on Land Cover Classification with Satellite Imagery will cover very interesting objectives such as access and download Landsat imagery and learn the basic steps for performing a supervised classifications using QGIS software.
I am very pleased that the Semi-Automatic Classification Plugin will be used during this training.
In particular, free webinars are available in the following areas: Disasters, Health & Air Quality, Land, Water Resources, and Wildfires.
The upcoming webminar provided by NASA ARSET on Land Cover Classification with Satellite Imagery will cover very interesting objectives such as access and download Landsat imagery and learn the basic steps for performing a supervised classifications using QGIS software.
I am very pleased that the Semi-Automatic Classification Plugin will be used during this training.
This webminar is organized in two dates:
- Tue, Jan 31, 2017 6:00 PM - 10:00 PM CET: Introduction to Land Cover Classification and QGIS
- Tue, Feb 7, 2017 6:00 PM - 10:00 PM CET: Improving a Supervised Land Cover Classification
and the Agenda is available here.
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| Image Credit: NASA/USGS, NASA Earth Observatory |
"Land classification is an important first step to assessing land cover and land use. This advanced webinar will provide lectures and hands-on activities focused on using satellite imagery for land cover classification. In two, four hour sessions, attendees will learn how to acquire Landsat imagery, display it in an open-source Geographic Information System (GIS), analyze spectral signatures of land cover types, and conduct a supervised land cover classification. Both sessions will feature a lecture, followed by time for participants to complete hands-on exercises. Instructors will remain online to answer questions and provide guidance and feedback. In addition to the exercises, there will be one online homework assignment. Completion of the homework and live attendance at both lectures are required to receive a certificate of completion".
Therefore, I invite you to freely register here to this webminar by NASA ARSET. Registration is open until January 30, 2017.
Prerequisites to this webinar are the installation of QGIS and the Semi-Automatic Classification Plugin.
For any comment or question, join the Facebook group and the Google+ Community about the Semi-Automatic Classification Plugin.