Subject: Introduction to Remote Sensing Online Course
COURSE DESCRIPTION: 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.
Remote Sensing Platforms & Characteristics
Image Acquisition & Processing
Image Classification & Accuracy Assessment
Forest and Land Cover Mapping Applications
FORMAT: Each module begins with a videoed lecture followed by a step-by-step tutorial available in pdf and video format. The tutorials are designed to provide real world experience with remote sensing techniques and methods. Each tutorial is followed by practice exercises with support from the instructor in the form of solution videos and pdfs, email, mediate discussion forums, and live Q&A. Each student will also have the opportunity over the last 2 weeks to meet with the instructor via one-on-one video consultation to discuss their individual project from school or work.
PRIMARY INSTRUCTOR: Dr. Kathleen Dunckel
DATES: June 6 - July 1, 2022
FOR MORE INFO / TO REGISTER, VISIT: https://www.centerforwildlifestudies.org/courses/remote-sensing-june-2022
Center for Wildlife Studies <firstname.lastname@example.org>
Tuesday, March 08, 2022