Description
In 2021, NASA's Applied Remote Sensing Training Program (ARSET) hosted a training that introduced the basics of hyperspectral remote sensing and its potential applications for land and ocean systems. Due to the training’s popularity, ARSET has made the original instructor-led training materials available as a self-paced course with the option for participants to earn a certificate of completion.
The high spectral resolution of hyperspectral data improves our ability to characterize vegetation types and biogeochemical processes across the land and oceans.
This 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.
Using this 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.
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
Objectives
By the end of this training attendees will be able to:
- Identify characteristics of hyperspectral remote sensing features that distinguish it from multispectral.
- Differentiate the characteristics and functionality of current and future satellite and airborne-based hyperspectral imagers.
- Recognize hyperspectral data availability and processing considerations that impact useability for different application scenarios.
- Use select web platforms to access and visualize hyperspectral imagery.
- Apply key considerations when accessing hyperspectral data from select web platforms to visualize a variety of land cover types.
- Apply key considerations when accessing hyperspectral data in narrow band indices for selected aquatic applications.
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
- Three, 1.5-hour parts
- Estimated total completion time: 4 hours