The main focus of this week's lab was to conduct an Interactive Supervised Classification of a training sample created based on features in the Composite Band 4, 5, 1 image. First, a NDVI image was created in order to determine if it was suitable for analysis and detection of Maya pyramids. NDVI measures biomass, giving us a view of plant growth and stress. As the pyramid had not been discovered at this point in the image, or cleared of vegetation, it is not suitable to use for the detection of this pyramid. The 4, 5, 1 image predominately shows vegetation as reds and bare ground as greens. Band 5 is included to aid in the detection of plant growth or stress. This image was used for the training sample for the Interactive Supervised Classification. In order to get the classification image, features are selected on the 4, 5, 1 image to be represented as colors on the classification image. This way, if a pyramid feature is represented as red, other features identified in the process as pyramids show up as red. This helps predict future archaeological sites.
Below is my final map output, with additional information included:
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