3 June 2013 Bathymetry estimations using vicariously calibrated HICO data
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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).
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David Lewis, David Lewis, Richard W. Gould, Richard W. Gould, Alan Weidemann, Alan Weidemann, Sherwin Ladner, Sherwin Ladner, Zhongping Lee, Zhongping Lee, "Bathymetry estimations using vicariously calibrated HICO data", Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240N (3 June 2013); doi: 10.1117/12.2017864; https://doi.org/10.1117/12.2017864

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