Portfolio
Outline:
·
Title
·
Summary
(introduction + conclusions)
·
Data
descriptions (image sources (e.g., URL), resolutions)
·
Major
tasks (include pictures and captions), might cover the following themes:
o
Data
acquisition/conversion
o
Specific
tools used (e.g., modeler, macro, programming language, etc.)
o
Image
enhancement (e.g., texture extraction, PCA, TC, etc.)
o
Classification
(basic and/or advanced methods)
o
Image
correction/adjustment (Atmospheric normalization, slope aspect correction,…)
o
Change
detection
o
Additional
analyses (e.g., statistic modeling or pattern analysis)
o
Comparisons
of various techniques
·
Lessons
learned, further improvements, next step…
The audience of
your remote sensing portfolio includes your current or future employers or
academic advisors. The goal of the portfolio is to demonstrate the RS skills
you possess. In addition to a brief description of these skills, you should
also make personal comments that reflect your experience of using these skills.
Make sure you present information in a concise and direct manner. Expect that
readers probably will spend 2 minutes flipping through the document and try to
judge your RS capability.
Final Presentation Schedule
· Please submit a printed Powerpoint presentation to the instructor before you present. You can put your Powerpoint slides in a USB drive, a CD, or on your H: network drive, so that the file can be used on classroom’s PC.
· We will have a total of 9 presentations. Each presenter has 20 minutes (12 for presentation and 8 for Q&A). There will be no breaks for the scheduled periods.
· All students are expected to attend all presentations.
|
Date/Time |
Presenter and Project Title |
|
June 2 |
1. Dara Zike 2. Darrell
Fuhriman 3. Shane Metcalf 4. Bill Hines |
|
June 6 10:15–12:05 |
1. Belinda
Beller 2. Tom Kuhn 3. Annalisa
Romano 4. Don Brown 5. Kurt Hellman |