- Week 1: history, d'oh... missed a day due to snow...
- Week 2: lecture on resolution, And a closer look at landsat data, including how to get data off earthexplorer. reflectance, data, and stretching. Sensors.
- End of Drop Add on the 10th.
- Week 3: atmospheric corrections.
- Week 4:
- Week 5. Digital image processing. Looked at Earth as Art book. Principal Component Analysis.
- 2 feb - end of 50% refund withdraw from course.
- Midterm exam on friday, 4 February!
- Week 6: Drones. Movie on friday.
- Week 7: Unsupervised Classification., supervised classification.
- 18 Feb - end of uncontested withdraw from course
- Week 8: accuracy assessment.
- No class monday - president's day.
- Week 9: LIDAR and moretime to work on your projects
- Week 10. Radar and Hyperspectral data.
- Final exam. Wednesday, 16 March, 8-10AM
Tutorials: Note, labs handed out on monday will be due friday, Wednesday labs will be due the next monday. And friday labs will be due the next Wednesday!
- Lab 1 - We'll start with a little review from airphoto. Work through the "Eye in the Sky" book (available in the lab) and answer bonus question 1 from each "chapter". 3 points. Please don't write in the books - they are collector's items and can no longer be purchased. Must be typed!
- Lab 2: The lab and the worksheet 3 points. (obviously, fill out and turn in the worksheet. Hardcopy, my office door). (since there's no class the next monday, this will be due tuesday).
- Lab 3: the lab and the worksheet 3 points
- Lab4 - in class exercise looking at different sensors. Due on friday of week 3 (not the next monday). 2 points.
- Lab 5: Pan Sharpening. 2 points.
- Lab 6: Georectification. 3 points.
- Lab 7: Filters and ratios. 3 points.
- lab 8: PCA. 3 points. This will be due on tuesday, 11 Feb.
- Lab 9: Unsupervised classification. 3 points.
- Lab 10: supervised classification. Part one. 5 points.
- Lab 11: Accuracy assessment of your supervised classification. 4 points. See this sample for what your confusion matrices might look like. Emphasis on might.
- Lab 12: LIDAR. Yup, frickin' planes with frickin' laser beams. Due on Monday, 9 March. 4 points.
Project: The overall goal is to track landcover/use change in an area over, say, 20-30 years
Make sure the two images line up properly in your study area. Again, DO NOT load/use the thermal imagery into your band stack (if using importer, you will want the msi image, not the msitir image).
On 21 February, I will check to see that you have both images downloaded and ready to use in ERDAS- so make sure you bring everything to class that day. Worth 2 points.
- Step 4, clip out your study area. Load both images (old and new). Goto raster, subset and chip, create subset image. input your input and output files. highlight the "snap pixel edges to raster image" Then build an inquire box: On the Home tab, click Inquire > Inquire Box to open an Inquire Box in the active View. Resize the box to fit the area in which you want to work. Now, back to subset.... click the "from inquire box" button. You should see the map coordinates change to fit your inquire box. Finally, make sure the input and output data types are the same and that you have selected the right number of layers. Do it. Then repeat for the second image (keep the inquire box up! Make 100% sure that you clip out the identical areas).
- Step 5 - Figure out which landuse/landcover classes exist during both dates (note, there may be ones that are in one image that aren't in the other, if enough change has happened). Follow your book, page 611 - 618. Or goto https://pubs.usgs.gov/pp/0964/report.pdf and take a look at table 2 on page 8. You should be able to get to Level II.
- Step 6 - do a supervised classification of your images (we'll get to this later in the quarter). Make sure your classes have the same value (number) in both images. This will be important when you compare the two dates. Don't forget your accuracy assessments - they should look just like those from the recent lab.. (Hand in a quick writeup which includes both the original and supervised images and both confusion matrices (formatted like you should have for the accuracy assessment lab). Yes, I expect readable color images with appropriate cartography (neatlines, N arrow, scale, etc). Note, if you prefer, you can always do your cartography within Arc.
- Step 7 - Carefully examine both images and describe the change you see. Is it real or an artifact of classification? Go through this for every class.
- Give me a final paper which includes
- An introduction which includes your question (what you're doing and why),
- Descriptions of your data - year, sensor, time of year, where you got it, etc.
- your methods (what steps you took),
- your results,
- and a final "thoughts" section which details what worked, what didn't, what you would do differently next time, etc.
- Note, your final writeup should include a lot of images, and they all need to be readable (no postage stamp images - fill the page!). It's better to give multiples than too few.
- Step 1: 11 February. 1 point
- Step 3: 21 Februaryl. 2 points (checked in lab that day on computers)
- Step 6. 4 March. 2 points
- Final writeup: Due the friday before finals week: 11 March. 10 points
Some potentially useful links for you: