NASA JPL & Collaborators Host Webinar on Advanced Hyperspectral Imaging: AVIRIS Mission to Oz
A crucial webinar is set to explore advanced hyperspectral imaging technologies and their applications. The event, ‘NASA JPL: Airborne Visible Infrared Imaging Spectrometer (AVIRIS) Mission to Oz: Hyperspectral Earth Observation for Ecosystem Science,’ highlights cutting-edge developments in Earth observation.
Joint Collaboration
This significant event is a collaborative effort, bringing together leading entities in space research and Earth observation. Collaborating partners include NASA’s Jet Propulsion Laboratory (JPL), CSIRO, Earth Observation Australia, and the NSW Space Research Network.
Guest Speakers and Topics
Two distinguished guest speakers from NASA’s Jet Propulsion Laboratory (JPL) will share their expertise:
- Dr. Robert O. Green, Director of the Microdevices Laboratory and Senior Research Scientist, will draw on his over 25 years of experience in developing advanced imaging spectrometer instrumentation for Earth missions.
- Dr. Dana Chadwick, Earth System Scientist, will offer insights into how hyperspectral imaging and LiDAR are utilized to understand complex ecosystem interconnections and landscape evolution.
Event Details
The webinar is designed to be accessible and informative for a broad audience.
Scheduled for 10:00am AEDT on Thursday, February 26, the webinar will run for one hour.
Registration for this insightful event is available online.
About AVIRIS: An Advanced Imaging Spectrometer
The Airborne Visible Infrared Imaging Spectrometer (AVIRIS) plays a central role in this discussion.
AVIRIS is an optical sensor payload capable of providing calibrated images across 224 contiguous spectral bands, covering wavelengths from 400 to 2,500 nanometres.
As a versatile airborne sensor, AVIRIS has been strategically deployed on a variety of platforms, including NASA’s ER-2 jet, a Twin Otter aircraft, Scaled Composites’ Proteus, and NASA’s WB-57 jet. The research conducted using AVIRIS data is primarily focused on understanding global environmental processes and climate change, providing invaluable data for scientific advancements.