Collection of Jupyter Notebooks and scripts to support the aerial hyperspectral surveys carried out by the Hylab and Alaska EPSCoR Fire and Ice (https://www.alaska.edu/epscor/fire-and-ice/) teams at the University of Alaska Fairbanks.
This code is not meant to be published, so I (CW) affixed no license. There's nothing secret about it, though.
Clone this repository (or download the files).
Requirements: Python packages geopandas
, shapely
, fiona
as well a jupyter
, matplotlib
.
Contents:
- HySpex flight planning: Replacement for planning spreadsheet (supplied by NEO). Supports planning flight height as a function of camera, target area elevation, and desired spatial resolution of the imagery. Specify start point, flight line length, number & direction and generates GPX file containing the flightline endpoint coordinates in flight order
- HySpex line shapefile re-jigger: Load a line shapefile, reproject (to WGS84) and re-order line endpoints in whatever order is desired.
- Boresight averaging: Exploratory analysis of boresight values determined from pairs of flightlines.