Lab 5

Lab 5 took a long look into the 416 fire that occurred in Durango, Colorado in 2018, and has us analyzing satellite imagery using focal and zonal raster statistics. By comparing Satellite imagery before and after the fire, I was able to create a dataset that assigned a numeric value to a qualitative evaluation of severe, moderate, and low burn severity called the difference normalized burn ratio (dNBR).

The second portion of the lab focused on zonal statistics, specifically within watershed "zones". By clipping, rescaling, and finally multiplying one slope dataset and one burn severity dataset, I created a raster that showed landslide risk on a per-cell basis. After running the zonal statistics tool by watershed, the data below was created. (Note: the zonal statistics by mean and by max created a nearly identical datasets, so I opted to display just one of them here)

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