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Development and Airborne Demonstration of the Concurrent Artificially-Intelligent Spectrometry and Adaptive Lidar System: Advancing Lidar Capabilities for the STV Observing SystemWe report on the design, build and planned airborne demonstration of a spaceflight-prototype Concurrent Artificially-intelligent Spectrometry and Adaptive Lidar System (CASALS). The CASALS lidar is an Adaptive Wavelength Scanning Lidar (AWSL) operating in push broom mode. The demonstration has three major goals: advance the Technical Readiness Level of the AWSL hardware, validate its measurement performance and mature algorithms and methods needed for the Surface Topography and Vegetation (STV) observing system. AWSL acquires parallel tracks of surface heights by rapidly steering a laser beam across a swath. A 1040nm-centered laser is tuned across 30nm and carved into 2-ns pulses, the pulse energy is fiber amplified and the pulses are dispersed cross-track using a non-mechanical wavelength-to-angle grating. For the spaceflight system the beam will be pointable to 1200 10m footprints across a 7km swath. For the airborne demonstration there will be 256 0.7m footprints across a 110m swath. In both cases the footprints overlap across- and along-track for uniform target illumination. For the airborne demonstration a steering mirror will increase the accessible swath width to 4km. At the receiver, solar radiation is filtered with a narrow-slit grating-spectrometer and the footprints are imaged onto a linear-mode, photon-sensitive HgCdTe APD-array. The received pulses are time-division-multiplexed to a few high-speed analog-to-digital converters to record waveforms. Spaceflight and airborne CASALS are designed to nominally detect 20 photons per pulse and, by averaging 27 overlapping footprints, achieve 2cm flat target range precision and high-quality vegetation structure waveforms The AWSL will be flown in the summer of 2024, along with a Headwall VNIR-SWIR hyperspectral sensor imaging a 4km wide swath, at NEON eddy covariance flux towers in the U.S. mid-Atlantic where high resolution hyperspectral and lidar data, acquired annually, are available for validation.
Document ID
20230015620
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Guangning Yang
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Jeffrey Chen
(Goddard Space Flight Center Greenbelt, Maryland, United States)
David Harding
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Brooke Medley
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Hui Li
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Wei Lu
(Telophase Corporation Arlington, Virginia, United States)
Xiaozhen Xu
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Steven Marlow
(ATA Aerospace (United States) Greenbelt, Maryland, United States)
Xiaoli Sun
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Mark Stephen
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
October 30, 2023
Subject Category
Instrumentation and Photography
Computer Programming and Software
Meeting Information
Meeting: 23rd Meeting of the American Geophysical Union (AGU)
Location: San Francisco, CA
Country: US
Start Date: December 11, 2023
End Date: December 15, 2023
Sponsors: American Geophysical Union
Funding Number(s)
WBS: 478643.02.12.02.18
CONTRACT_GRANT: 80GSFC18C0120
CONTRACT_GRANT: 80GSFC21CA007
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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