NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
ICESat-2 Photon Classification: Finding Signal Photons in the ATL03 Geolocated Photon Data ProductICESat-2 carries NASA's next-generation laser altimeter, ATLAS, (Advanced Topographic Laser Altimeter System), designed to measure changes in ice sheet height, sea ice freeboard, and vegetation canopy height. ATLAS contains a photon-counting lidar which transmits green (532-nm) pulses at 10kHz. Each pulse is split into 3 pairs of beams (one strong and one weak). Approximately 1014 photons per pulse travel from ATLAS through the atmosphere to reflect off the Earth's surface. Some return back into the ATLAS telescope where they are recorded. Photons from sunlight and instrument noise at the same wavelength are also recorded. The flight software time tags all photons within a 500m to 6 km range window and generates histograms. Using the histograms, it selects a telemetry window which varies from 20m over flat surfaces to hundreds of meters over rougher terrain. ATL03 contains the time, height (relative to the WGS-84 ellipsoid), latitude and longitude of every photon within the telemetry window. The basic challenge is to determine which of these photons were reflected off the surface. We have developed an algorithm that identifies these signal photons and assigns a confidence level (low, medium, or high) to each signal photon based on the signal to noise ratio. We present an overview of the signal identification algorithm and show the results on actual ICESat-2 data over ice sheet, sea ice, vegetated, and water surfaces. Higher level ATLAS products work with aggregations of the photons in order to determine the ellipsoidal height of the Earth, canopy height and structure, and other quantities of geophysical interest.
Document ID
20190000308
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Brenner, Anita C.
(Sigma Space Corp. Lanham, MD, United States)
Neumann, Thomas
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lee, Jeffrey E.
(SGT, Inc. Moffett Field, CA, United States)
Date Acquired
January 31, 2019
Publication Date
December 10, 2018
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN63918
Meeting Information
Meeting: 2018 American Geophysical Union (AGU) Fall Meeting
Location: Washington, DC
Country: United States
Start Date: December 10, 2018
End Date: December 14, 2018
Sponsors: American Geophysical Union (AGU)
Funding Number(s)
CONTRACT_GRANT: NNG15HZ37C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Remote Sensing
Laser Altimetry
Cryosphere
No Preview Available