Using Remote Sensing to Classify Land Cover in the Salish Sea Region
The goal of project 3 was to conduct land cover classification and create NDBI/NDVI indices in the Salish Sea region as a group using remote sensing. Skills learned include:
Acquire landsat satellite imagery and import it into ArcGISPro
Create multispectral composites combining multiple imagery bands
Calculate multispectral indicies
Use raster functions to create temporary layers extracting, compositing, and clipping imagery rasters
Classify imagery to identify land cover types
Explore spectral signatures of common land cover classes
Create mosaic datasets to combine rasters
