Abstract
Abstract. Red tides are among the most common coastal hazards, causing serious damage to the coastal environment. Many satellite sensors can detect red tide blooms, but are limited in their detection of the exact area of the bloom and biological abundance in terms of spatial and spectral resolution. The high spatial and spectral resolutions of hyperspectral airborne remote sensing data may help overcome these limitations to analyze red tide blooms more effectively. To identify potential applications of hyperspectral airborne data in red tide detection, an integrated field campaign was performed in September 2016 off the coast of Tongyeong, South Korea. An AisaEAGLE sensor was installed on a Cessna 208B crewed aircraft to obtain hyperspectral images of an 18 km × 18 km coastal area. To assess the atmospheric correction of the hyperspectral data, in situ optical data and water samples were measured on two vessels concurrent with the flight path. Advanced surface-reflected radiance (Lr) correction and basic atmospheric path radiance (La) correction were performed on the hyperspectral images. Of these, Lr correction comprised a large proportion of the atmospheric correction. The atmosphere-corrected remote sensing reflectance data of the hyperspectral images closely matched the in-situ measurements. The data were assessed for red tide events using ratio analysis and the fluorescence line height technique; the ratio analysis more effectively detected regions with suspected red tides.
Highlights
Red tides, a common name for harmful algal bloom, are among the most common coastal disasters, causing serious damage to the coastal marine environment in South Korea (Kim et al, 2004; Lee et al, 2013)
Many satellite sensors are capable of detecting red tides, they are limited in their abilities to accurately analyze the exact shape and area of the red tide patch and the biological abundance in terms of spatial and spectral resolution
An integrated field campaign was performed for the acquisition of airborne hyperspectral images combined with in situ match-up data measurements for red tide detection
Summary
A common name for harmful algal bloom, are among the most common coastal disasters, causing serious damage to the coastal marine environment in South Korea (Kim et al, 2004; Lee et al, 2013). Imaging spectrometry (i.e., hyperspectral imaging) began at the Jet Propulsion Laboratory of the National Aeronautics and Space Administration (NASA) in the early 1980s, and enabled the acquisition of images on continuous spectrum channels This method provides complete reflectivity spectrum information within a wavelength region for each pixel within an area (Gao et al, 2009). Due to the comparatively large field of view (FOV) and complex pixel-based geometry, various pre-processing steps are required, and data verification is important. Due to these difficulties, a simple atmospheric correction based on radiative transfer model or provided on SW was used for the coastal
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