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Proceedings Paper

Bathymetry estimations using vicariously calibrated HICO data
Author(s): David Lewis; Richard W. Gould; Alan Weidemann; Sherwin Ladner; Zhongping Lee
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Paper Abstract

The Hyperspectral Imager for the Coastal Ocean (HICO) is a prototype sensor installed on the International Space Station (ISS) designed to explore the management and capability of a space-borne hyperspectral sensor. The Office of Naval Research (ONR) funded the development and management of HICO. The Naval Research Laboratory (NRL) built and is involved in management of the HICO sensor. Bathymetry information is essential for naval operations in coastal regions. However, bathymetry may not be available in denied areas. HICO has a 100 meter spatial resolution, which makes it more capable for providing information within bays and estuaries than other sensors with coarser resolutions. Furthermore, its contiguous hyperspectral range is well suited to be used as input to the Hyperspectral Optimization Process Exemplar (HOPE) algorithm, which along with other absorption and backscattering values, estimates bottom albedo and water depth. Vicarious calibration uses in situ data to generate new gains and offsets that when applied to the top-of-atmosphere radiance values improves atmospheric correction results and the measurement of normalized water-leaving radiances. In situ remote sensing reflectance data collected in St. Andrews Bay were used to vicariously calibrate a coincident HICO scene. NRL’s Automated Processing System (APS) was used to perform atmospheric correction and estimation of remote sensing reflectance (Rrs). The HOPE algorithm used the vicariously calibrated HICO Rrs values to estimate water depth. The results were validated with bathymetry maps from the NOAA National Ocean Service (NOS).

Paper Details

Date Published: 3 June 2013
PDF: 12 pages
Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240N (3 June 2013); doi: 10.1117/12.2017864
Show Author Affiliations
David Lewis, U.S. Naval Research Lab. (United States)
Richard W. Gould, U.S. Naval Research Lab. (United States)
Alan Weidemann, U.S. Naval Research Lab. (United States)
Sherwin Ladner, U.S. Naval Research Lab. (United States)
Zhongping Lee, Univ. of Massachusetts Boston (United States)


Published in SPIE Proceedings Vol. 8724:
Ocean Sensing and Monitoring V
Weilin W. Hou; Robert A. Arnone, Editor(s)

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