Photocopies of Chapter 1 from the ERDAS tutorial were provided.
All the data can be found on the data library in the /geog430/examples/ subdirectory. There are 500mb of data there, so copying the whole subdirectory to your zip is impossible. Two choices - dump the whole thing onto the D drive and work there (and risk someone deleting the lot) or carefully copy only the files you need for the lab to your zip. Note - every dataset consists of more than one file (same name, different extensions) - make sure you get them all. For example, Lanier.img, lanier.len, lanier.ckb. Do not work directly from the server - performance will suffer quickly as y'all grab the same data... And, of course, you won't be able to save to the data drive.
Work through Chapter 1. This is your intro to erdas lab. As you go through this, take notes - the answers to any questions, good/bad points, questions you might have, etc. Print out one of the 3D images you make (how is up to you, but one option would be: do a print screen (shift-print screen)). Doing this will create a bitmap copy of what's on screen. Open Word and paste in what you just copied. Print this word document (to the laser printer)). Next, compare and contrast the following stretches: histogram equalization, standard deviation, and min/max. To answer a compare/contrast question, first describe the items in question, next say what they have in common, next, what's different. If it helps, draw an image on screen and play with it (just for the heck of it, pick a dataset that you didn't use for this lab). Never forget "help" or your old pal Google.
Also, I have and will say this a million times: ERDAS is software (and help files) written by experts for experts. It is annoying for beginners. Thus - ASK QUESTIONS. Fight a bit, check help, fight a little more, then see Bob or Ben.
When you have finished all this, delete the files (except your writeup) from either your zip or the D drive. This class will be a harddrive/zip hungry class....
Part 2: Surf the web looking for both cool remote sensing sites and sources of satellite imagery (especially free data).
Hand in a list of the 10 coolest/most data rich sites - both the URL and a quick description of the site. When you have finished this part, in a paragraph or two, tell me what you think is the most interesting/applicable/whatever part(s) of satellite remote sensing.
Worth 6 points. Due Monday, 3 April.