Hyperspectral signal bands to HICO image data bands for seagrass mapping

Abstract

Atmospherically corrected Hyperspectral Imager for the Coastal Ocean (HICO) images that cover Indian River Lagoon, FL are requested in order to develop a HICO based protocol for mapping seagrass habitats during algal blooms. The specific objectives are to: (1) develop a novel algorithm to decompose the HICO remote sensing reflectance from optically shallow productive coastal waters in order to separate the signals from seagrass; and (2) calibrate and validate the algorithm using atmospherically corrected Level 2 HICO data and in situ data. This paper presents preliminary results on how the in situ measured data are resampled to the HICO sensor bands to capture the vegetation signals from shallow water.