Land classification is an important first step to assessing land cover and land use. This advanced webinar provides 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 feature a lecture, followed by time for participants to complete hands-on exercises and ask questions. Both recordings feature the speaker answering questions from the live webinars.
Attendees that do not complete prerequisites may not be properly prepared for the pace and exercises during the training.
Local, regional, state, federal, and international organizations interested in assessing vegetation condition using satellite imagery. Professional organizations in the public and private sectors engaged in environmental management and monitoring will be given preference over organizations focused primarily on research.
There is no cost for the webinar, but you must register to stream the recording below.
An overview of land cover classification, including unsupervised and supervised classification. View the recording »
Analyzing training sites to improve the supervised land cover classification. View the recording »