Early Bird Deadline: Introduction to Remote Sensing (ONLINE)
Explore techniques and procedures required for spatially explicit data analysis in forest resources, wildlife, and natural resources applications. The course will cover methods in image interpretation, land cover mapping, forest monitoring (change detection), landscape metrics and integration of raster and vector data using QGIS. The first two modules are an introduction to remote sensing and will explore methods for finding the right satellite image, downloading, and processing an image from the internet. The second half of the course explores methods for classifying a multispectral image into land use classes and then assessing the accuracy of that classification. Techniques in image interpretation such as vegetation indices and change detection will also be covered.
You have two options when enrolling in this course:
(1) Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution. It is highly RECOMMENDED that you select this option if you would like to work with an instructor on a dataset from school or work.
DATES: March 6-31, 2023 (with access to course through May 28, 2023)
- Early bird course fee (ends Feb 5): $550 professional / $450 student
- Regular course fee (after Feb 5): $600 professional / $500 student
(2) NO instructor support. Sign up anytime and learn at your own pace through the fall as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.
DATES: Access course from March 6 - May 28, 2023
- Early bird course fee (ends Feb 5): $400 professional / $300 student
- Regular course fee (after Feb 5): $450 professional / $350 student