By the end of this training, attendees will be able to:
-Recognize how image classification of airborne imaging spectroscopy and labeled field data can be used to map invasive species.
-Use a Jupyter Notebook to access NASA JPL AVIRIS-NG data located on the NASA Earthdata cloud for a spatial and temporal region of interest.
-Apply a cloud based workflow in a provided Jupyter Notebook to classify species using a trained machine learning model for the Greater Cape Floristic Region, South Africa.
-Identify key considerations for interpreting machine learning end products for invasive species mapping for land management decisions.
