Hyperspectral Analysis of Minerals provides an introduction to the use of imaging spectrometry in geologic and mineralogic applications. Each course provides background information on various concepts, plus hands-on exercises in ENVI and quizzes that test your knowledge of the concepts presented.
Sections in This Course
Preprocessing
3 Hours
- Exploring an AVIRIS-3 hyperspectral image
- Reviewing and excluding noisy bands
- Creating a surface reflectance image
Image and Reference Spectra
2 Hours
- Collecting and comparing reflectance image spectra in the same plot window
- Plotting different mineral spectra from a spectral library
- Comparing image-derived spectra to known library spectra
Endmember Extraction
3 Hours
- Determining the dimensionality of a hyperspectral dataset
- Identifying the purest pixels in an image using the Pixel Purity Index tool
- Selecting image endmembers using the N-Dimensional Visualizer
- Using the SMACC tool as an alternative way to extract endmembers
Spectral Mapping Methods
4 Hours
- Using the Spectral Hourglass Workflow to create sub-pixel abundance regions of interest (ROIs) for endmembers
- Using various mapping methods to map the spatial distribution of endmembers
- Using the Material Identification tool to rank similarities between endmember spectra and the spectra of actual minerals