Hyperspectral Data for Land and Coastal Systems

Satellite Image of Honolulu

 Learning Objectives: By the end of this training, attendees will be able to:

  1. Identify characteristics of hyperspectral data including benefits and limitations for land and coastal systems
  2. Recall various satellite and airborne-based hyperspectral imagers
  3. Relate past hyperspectral campaigns to future missions
  4. Access hyperspectral data from multiple platforms
  5. Illustrate uses of hyperspectral data for land assessments such as invasive species management, agricultural management, wildfire impacts, forest decline and pest infestation, and more
  6. Illustrate uses of hyperspectral data for coastal and ocean applications such as coral reef assessments, mapping submerged aquatic vegetation, and identifying marine debris

 Relevant UN Sustainable Development Goals: 

  • Goal 14: Conserve and sustainably use the oceans, seas and marine resources for sustainable development
  • Target 14.2: By 2020, sustainably manage and protect marine and coastal ecosystems to avoid significant adverse impacts, including by strengthening their resilience, and take action for their restoration in order to achieve healthy and productive oceans
  • Goal 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

 Audience: Local, regional, state, federal, and non-governmental organizations involved in invasive species management, forest monitoring, coastal and ocean processes, and innovative remote sensing techniques.