University of Wisconsin-Madison, Nelson Institute for Environmental Studies

October 28, 2015

Remote Sensing Digital Image Processing

Lectures: Wednesday, Friday 1:00-2:30 pm

Labs: Friday 1:00-2:30 pm (see weekly schedule)

Professor: Annemarie Schneider

Office: SAGE, Enzyme Institute room 206 1710 University Avenue Office hours: Friday 2:30-3:30 pm, or by appointment Email: [email protected]

Class website: http://landcoverchange.com/home/courses/advanced_remote_sensing

Course objective and overview: The objective of this course is to provide more comprehensive instruction in remote sensing, focusing primarily on the analysis and interpretation of satellite imagery to study the environment. The intent is to learn how to use these types of data to study issues related to environmental science, geography, earth sciences, forestry and resource management. This course requires successful completion of Introduction to Environmental Remote Sensing or a similar class and topics in this course will draw heavily on information learned in the first semester of the three-course sequence. Lectures and labs will continue to focus on the four topic areas covered in the previous semester, as well as add a fifth to the milieu. Of the first four topics, this course will pursue methods and applications more fully, while physical properties and data/sensors will be taught periodically throughout the semester. The fifth topic will be the basic statistics of remote sensing, since understanding and applying advanced image processing methods requires a bit of knowledge on the mathematical nuts and bolts. As stated, methods will be a substantial portion of the course, specifically, how to analyze images to derive the desired information. Much of this information will be taught and discussed during periodic labs and lab tutorials, devoted primarily to learning how to use image processing software to analyze satellite images. The motivation for learning these methods is the wide range of applications, or how we can use remote measurements for purposes such as forest management to water resources to agriculture to global environmental science. Applications will be discussed nearly every day in some context, but several days will be devoted to specific examples discussed in great detail.

1

Recommended textbooks: Remote Sensing of the Environment: An Earth Resource Perspective, John R. Jensen, 2006, Prentice Hall. Introductory Digital Image Processing: A Remote Sensing Perspective, John R. Jensen, 2004, Prentice Hall. Required reading: Readings will be assigned weekly from either of the Jensen textbooks, as well as from the scientific literature. Chapters and articles will be made available through the class website (see the reading list document for the full reference list). Copies of both textbooks are also on reserve at the Geography Library and the Steenbock Library. Additional resources: Google Earth available for download at http://earth.google.com. ArcGIS 10.x student licenses are available upon request, and ENVI student licenses can be purchased for $195: http://www.exelisvis.com/Industries/Academic/Students/StudentLicenses.aspx. Please purchase a small, external drive for use during labs and projects (20 gig will work, but 100 gig is recommended). Code of conduct Please be on time to both lecture and lab. Turn off all cell phones, ipads, pdas, etc. during lecture, lab, and when you attend office hours. If using a laptop, no email, instant messaging, or social media during class. No cheating or plagiarism will be tolerated, and will be treated according to the UW academic misconduct guidelines. Grading lab assignments participation, preparedness homework assignments final project final presentation

Grading scale 30% 10% 10% 40% 10%

91-100 81-90 71-80 61-70