Invasive species costs the U.S. economy billions of dollars a year and can cause declines in ecosystem health. NASA data can be used to identify the impacts of invasive species including the extent, potential distribution, and impacts to affected ecosystems. With improvements to the temporal, spatial, and spectral resolution of data alongside cloud-based computing there are new opportunities to apply NASA data, products, and tools to landscape management.
This course will provide participants with an overview of typical NASA satellites and sensors used to map invasive plants such as Landsat, MODIS, and VIIRS, as well as innovative or upcoming data and missions such as the Global Ecosystem Dynamics Investigation (GEDI), HyMap, the Surface Biology and Geology (SBG) mission, and the Geosynchronous Littoral Imaging and Monitoring Radiometer (GLIMR). This training will highlight project-based applications of remote sensing for plant species of interest especially those affecting grasslands and aquatic inland lakes and waterbodies, and more with a lens towards innovative uses of hyperspectral data for additional invasive species detection.
By the end of this training attendees will be able to:
-Recognize the extent and impacts of invasive species on biodiversity and a changing climate.
-Identify the types of remote sensing data and products that can be used for invasive species mapping and monitoring.
-Explore key considerations, benefits and limitations of remote sensing data sets for invasive species.
-Identify where to access remote sensing data for monitoring invasive species and mapping relevant habitat and climate variables.
-Evaluate remote sensing methods used to monitor aquatic and grassland invasive plant species.
