- Week 1: history, resolution, TM. And a closer look at landsat data, including how to get data off earthexplorer
- Week 2: lecture on reflectance, data, and stretching. Sensors. Both labs 2 and 3 handed out this week.
- Week 3: the start of atmospheric corrections. Tues was in-class lab 4 (below) Ratios (including looking at a lot of different imagery using ratios)
- Week 4:
- Week 5. Midterm exam on thursday!
- Week 6: 2 May, guest speaker: Danielle Munzig. Digital image processing. Principal Component Analysis.
- Week 7: unsupervised classification. Looked at Earth as Art book.
- Week 8: supervised classification and accuracy assessment.
- Week 9:
- 21 May: Guest speaker, Richard Diaz.
- 22 May (hopefully), morning Drones lab. Out in the field. Save this date. Weather permitting
- Lidar, fluvial geomorphology, and the Elwah dam removal.
- Week 10. Radar and Hyperspectral data.
- 29 May - alternate date for drones lab, weather permitting.
- Lab 1 - Because lab one falls on the first day of class, we'll go a bit light 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. Due next monday.
- Lab 2: The lab and the worksheet 3 points. (obviously, fill out and turn in the worksheet). Due the next monday.
- Lab 3: the lab and the worksheet 3 points (due the next wednesday).
- Lab4 - in class exercise looking at different sensors. Due at the end of class. 2 points.
- Lab 5: Georectification. 3 points.
- Lab 6: Pan Sharpening. 2 points. Due in 6 days.
- Lab 6: Filters and ratios. 3 points.
- lab 7: PCA and unsupervised classification. 3 points. Answer sheet!
- Lab 8: supervised classification. Part one. 3 points.
- Lab 8b: Accuracy assessment of your supervised classification. 4 points.
- Lab 9 - LIDAR. Yup, frickin' planes with frickin' laser beams.
- Split into groups of two. The basic idea is for each group to research a different remote sensing topic. Your choice. Be very specific and clear them with me.
- Get out there and read a bunch (a bunch = about 10 between two people) of papers and make a 10 minute presentation to give in class (dates to be determined, but toward the end of the quarter). Note, by papers, I mean peer-reviewed, scientific papers - not random websites. The presentation should be about the remote sensing (sensors, analyses, etc), not the general topic (beyond about 1 minute of introduction).
- Your grade will be based on both the presentation, a list of references (handed in hardcopy when you present), and the relationship between the presentation and references. Please ensure that you understand every term you use in the presentation (I will ask questions...)
- Presentations will be during the last week of class (individual times to be assigned the week before).
- Worth 4 points.
- The overall goal is to track landcover/use change in an area over, say, 30 years
- Step 1 - think of an area that has changed over the past few decades or so. Get on this part Think at least 20 miles by 20 miles. Your study area/topic (what you're mapping and where) will be due by 9 April. Write up about a paragraph. 1 point
- Step 2 - get data! Be sure to get two different types. Simplest would be landsat 8 and landsat 4, but feel free to use any sort of applicable imagery. The second image must be AT LEAST 20 years older than the current image.. Head off to http://earthexplorer.usgs.gov/ - this is the simplest place to get all sorts of imagery.
- Step 3 - get the data into ERDAS and georeferenced if necessary. But, make sure the two images line up properly in your study area. Chances are good that rectification is necessary. This will be checked on 10 May. 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 correct 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.
- Step 6 - do a supervised classification of your images (we'll get to this later in the quarter). Don't forget your accuracy assessments. (Hand in a quick writeup which includes both the original and supervised images and both confusion matrices. Due on 21 May, 2 points)
- Step 7 - Head into ArcGIS and run the spatial analyst tools, zonal, tabulate area tool. Summarize the results. Give me a writeup telling me where things changed, how, why, etc. Not only the results from the tool, but LOOK at the images and tell me what you see
- Give me a final writeup which includes your question (what you're doing and why), 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. Your final writeup should include good (as in readable, don't give me postage stamp images. Better to give multiples than too few) images of both images and your classifications. Due on the friday before finals week. 6 points.
Some potentially useful links for you: