Reducing spectral redundancy in a Landsat 8 scene of the Aurora volcano in Guatemala.
Using PCI Catalyst python library to automate the extraction, atmospheric correction, and creation of a mosaic dataset from Level-1 Landsat 8 images.
True Colour Composite (RGB - 432)
Custom False Colour Composite (RGB -643) Using Spectral Reflectance Histograms to Isolate Objects of Interest
Using python to process Level-2 Landsat 8 scenes for a study area over multiple years.
NDVI computed for each year.
Each clipped to the study area.
Ground truth files used to determine NDVI thresholds
Pixels extracted using the threshold.
Difference between each image provided to assess vegetation trends.
Comparing the two methods for analyzing features and phenomena of interest.
Using circuit theory to better understand the movement of species within a landscape.