Thoger Boyum Geography 438 Blog

  Background and goals:     The goal of this lab was to gain knowledge and technical skills in hyperspectral imagery and hyperspectral imagery analysis. The second goal of this lab was it introduce the user to FLAASH processes, including correcting a hyperspectral image & calculating vegetation metrics.     The results portion of this report will be omitted, as there was no major result from this lab so all deliverables will be present in the methods section. Methods:     First was an introduction to spectral processing. A ROI file was added to a hyperspectral image, which was then used to extract mean spectras within the ROI. This was then compared in the spectral library, as seen below. The ROI statistics dialogue with results from spectral library.             Next, 20 bands were animated within a greyscale image. This is done to make the spatial occurrence...

Background and goals:     The goal of this lab was to gain skills and experience in flood simulation modeling. This was achieved through a tutorial created by Esri. Method:     The first step was to determine which areas would be effected by the flooding. This was found using LAS data and flood height information. using that information, we determined that roads and buildings would be effects by the flooding. Results:     It was found that in the Baltimore area in places of 5 meter flood depth, 57% of bridges will be effected.  Sources:     Esri.(2021).[LAS and Geodatabase dataset for Baltimore]. Esri . Provided by Cyril Wilson