Description

High spectral resolution, or hyperspectral, data improves our ability to characterize vegetation types and biogeochemical processes across the land and oceans. Such data enables us to identify chemical, physiological, and morphological traits of plants, minerals, and microorganisms, and allows decision-makers to better understand critical components of ecosystem dynamics. Hyperspectral data can inform work related to invasive species, forest health, phytoplankton functional types, wetland and shallow benthic community mapping, harmful algal bloom (HAB) detection, and ocean dynamics.

In 2021, NASA's Applied Remote Sensing Training (ARSET) program hosted a training that introduced the basics of hyperspectral remote sensing and its potential applications for land and ocean systems. Due to the popularity of the training, ARSET has made the original instructor-led materials available as a self-paced course with the opportunity for participants to earn a certificate of completion.

Note: If you do not already have an account for the ARSET learning management system, you will be prompted to create a free account before you can take this training.

Prerequisites

• Fundamentals of Remote Sensing

Objectives

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

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

Target Audience

Governmental and non-governmental organizations involved in invasive species management, forest monitoring, coastal and ocean processes, and innovative remote sensing techniques.

Course Format

• 4-hour, self-paced online training
• Earn a certificate of completion