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ICESat-2 Bathymetry: Advances in Methods and Science

  • Christopher E. Parrish
  • , Lori Magruder
  • , Ute Herzfeld
  • , Nathan Thomas
  • , Jonathan Markel
  • , Michael Jasinski
  • , Gretchen Imahori
  • , Joan Herrmann
  • , Thomas Trantow
  • , Adrian Borsa
  • , Rick Stumpf
  • , Bryan Eder
  • , Isabel Caballero
  • Oregon State University
  • University of Texas at Austin
  • University of Colorado Boulder
  • University of Maryland
  • NASA Goddard Space Flight Center, Greenbelt, Maryland
  • National Ocean Service
  • University of California, San Diego
  • Consejo Superior de Investigaciones Científicas

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Since the 2018 launch of NASA's ICESat-2 mission, one capability of its Advanced Topographic Laser Altimeter System (ATLAS) that has far exceeded expectations is bathymetric measurement. Although ICESat-2 was designed to generate surface-specific along-track and gridded data products, bathymetry was not a pre-launch science requirement of the mission. However, since launch, ATLAS has proven capable of bathymetric measurement to >40m in very clear waters [1], and ICESat-2 bathymetry is being used in a growing number of science disciplines. Post-launch efforts have focused on bathymetric signal classification (sea surface, water column and seafloor) and correction for refraction at the air-water interface. Because ATLAS provides bathymetry only along discrete tracks, another area of focus is on integration of ATLAS data with relative bathymetry from multispectral satellite imagery-often referred to as satellite-derived bathymetry (SDB)-to obtain spatially-contiguous 2D bathymetric coverage. This paper synthesizes the latest algorithms, techniques and uses of ICESat-2 bathymetry, including collaborative efforts of the Bathymetry Working Group of the ICESat-2 Science Team, and recommends topics for future investigation.

Original languageEnglish
Title of host publicationOCEANS 2022 Hampton Roads
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-6654-6809-1
ISBN (Print)978-1-6654-6810-7
DOIs
Publication statusPublished - 19 Dec 2022
Event2022 OCEANS Hampton Roads, OCEANS 2022 - Hampton Roads, United States
Duration: 17 Oct 202220 Oct 2022

Publication series

NameOceans Conference Record (IEEE)
Volume2022-October
ISSN (Print)0197-7385

Conference

Conference2022 OCEANS Hampton Roads, OCEANS 2022
Country/TerritoryUnited States
CityHampton Roads
Period17/10/2220/10/22

Keywords

  • ATLAS
  • bathymetry
  • benthic habitat
  • coast
  • ICESat-2
  • lidar
  • SDB
  • seafloor

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