Terrestrial Remote Sensing Data Ingestion with PyHAT (Python Hyperspectral Analysis Tool)

Different terrestrial remote sensing instruments provide their data in unique formats, and working effectively with these data often requires specialized expertise. This acts as a barrier, limiting the ability of all researchers to work with the data. We propose to remove this barrier by introducing the new capability to read multiple terrestrial data sets into the existing Python Hyperspectral Analysis Tool (PyHAT) software. By making it easier for users to read and work with common terrestrial remote sensing data sets, this project will directly address the CDI goals to “[make] research products and processes available to all” and “increase production of unbiased, accessible, high quality, and interoperable data”.