Week 5: LiDAR Raster Image

This week's challenge focused on turning an las. file into a raster and interpreting the data in ArcMap or ERDAS Imagine Software. The area is of Pensacola Beach, Florida and depicts elevation in meters with the road, sand dunes, and water highlighted for reference. The image symbology had to be stretched in order to correctly identify these features. Overall the challenge was interesting and insightful and best of all not problematic.

Week 4 Classification

Lab 4 was the most difficult for me so far. The problem was trying to get the reclassified data to look like the original image but with all of the changes made during the classification process the colors of the map looked completely different. The legend also gave me fits even though I merged my data to make it easier to work with for some reason I could only get the Historgram data to display and not the class names. Very frustrating. Here is what I have though.

GermanTown Map

Here is the new and improved map as of 07/28/10 which is more like the challenge example should have been.

GermTown Map 2

Week 3: Orthorectification Deliverable

This is a link to the Week 3: Orthorectification challenge in Remote Sensing. I used the minimum of seven ground control points but could have used more although with the poor resolution on the aerial, finding good geographic control points was getting complicated. By using the obvious areas, i.e. airport runways, land points, and cross roads I was able to rectify the map of Pensacola, Florida. The overall result was not much different than the original, although it did shift it a little to the left. ERDAS software does not make it easy to create an appealing layout.

Orthorectification Map of Pensacola, FL

Module 2 Deliverables

Lab 2 delt with using the statistical data within the image software ERDAS in order to identify different features and how they are displayed. By using histograms and pixel value data, the user is able to identify peaks as well as low points within each layer of the image in which they are studying. There are three links to each individual map deliverable.
Lake.
Quarry.
Shallow Water.