GIS 4035 - Module 8 - Thermal and Multispectral Imagery

For this week's Module 8 we were asked to analyze two composite satellite images at different RGB and landsat band setups in order to highlight specific features. The composite image that I chose was the EMTcomposite.img created in module 8 and the feature I chose to identify was the two fires located in the NE corner of the original EMTcomposite.img. I chose 4 data frames to show 4 different image configurations. These 4 data frames represent, in my opinion, the most effective ways to spot a forest fire via satellite imagery. The configuration of the 4 data frames is as following: RGB 123 - True color image for comparison, RGB 137 – fire appears brighter and more vivid, Landsat Band 1 – Grey Scale – shows brighter areas, Landsat Band 1 – Color Gradient – shows brighter areas as red. Landsat band 1 was chosen as it is the only band that effects the fire. This may be in part due to the fires intense brightness and its physical appearance being higher in elevation when compared to surrounding ground elevation.