Module 8: Thermal and Multispectral Analysis

For Module 8 we were tasked with creating a multispectral image where we had to adjust image symbology, band combinations, and interpret thermal infrared data from a given satellite image. We used both ERDAS and ArcMap to combine layers into a single image. I chose to highlight fires in the north eastern portion of the map provided. I also needed to do research on how to add grids to ArcMap Data Frames, which will be helpful later on. 

Module 6 Lab: Spatial Enhancement

For Mod 6 we were tasked with downloading satellite imagery and using spatial enhancements in both ERDAS and ArcMap to help us interpret the data. This was the first time we have used Fourier Analysis and Fourier Transform in ERDAS and it was interesting to compare the first image to the enhanced image. It made a big difference in interpretation and I can see how this would be useful when working with similar data. 

Module 7 Lab: Multispectral Analysis

Multispectral Feature #1 shows an area of snow capped mountains found in the Olympic National Forest, Washington State.  This feature had small spikes at around 200 and one large spike between 9-11. Bands used were R1, G2, B3 

Multispectral Feature #2 shows land in red and the Puget Sound in black. There was a spike seen in 12 and 18. A dark area will affect the spike seen on the histogram, which was found to be on the left side. Bands used were R4, G3, B2. 

Multispectral Feature #3 shows shallow water areas seen near the Port of Tacoma, a lake inland, and an area near Olympia. It was interested that with this band combination that the shallow water changed into a bright shade. I'm assuming this is due to the reflection of the shallow water when using bands R6, G2, B3.

Module 5a Lab: Intro to ERDAS Imagine and Digital Data 1

In Mod 5a we learned about ERDAS Imagine and were tasked with transferring data from ERDAS and importing it to ArcMap  to create a final map of a section of Washington State forested land. This module was particularly interesting because we haven't used ERDAS and I have been wondering what the software was for and how it was used. It will be interesting to see how we use the software this semester.

Module 4 Lab: Ground Truthing and Accuracy Assessment

For this module we were tasked to construct an unbiased sampling system from the map we created last week.  Accuracy was calculated and was found to be 73% accurate.  One of the biggest things I noticed is why it is important to check maps off of other existing maps to ensure accuracy of data portrayed.  By checking from the get go, would have had better accuracy rate. 

Lab 3: Land Use / Land Cover Classification Mapping

For Mod3 we were tasked with creating and land cover/land use map. We were given a aerial map of Pascagoula, Mississippi and  had to digitize the area showing features on the ground based on size, shape, color, pattern, shadows, and associations.  I created a polygon shapefile and outlined the identifying features and then labeled them accordingly. I particularly enjoy this module because I was able to figure out a few features that stumped me last semester including how to reorganize the legend and how to create labels from the attribute table.  These little things helped the map come together more easily than the past.

Module 2 Lab: Visual Interpretation

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For our first map project we were tasked with creating two maps that show different features of aerial photographs. The first map interprets the tone and texture of land shown in the photograph. The second map identifies land  features based on several visual attributes.