Future GEO AquaWatch Webinars
Title: Spectral enhancements with contra-bands: A case study of the OLI/Landsat 8 orange contra-band and its application for inland water remote sensing.
Presenter: Alexander Castagna, Department of Biology, Ghent University
Date: June 18, 2020, 2pm UTC
Recently, a new method was developed to extract additional spectral information from a set of overlapping wavebands (Castagna et al. 2018
). This spectral enhancement technique was termed contra
-band, and is based on the extraction of information that was measured, but is mixed with information from a broader spectral region. Therefore, it has potential to add independent information to the band set of specific sensors. The method is generic and can be analytical if waveband properties are optimal, or semi-analytical otherwise. We will explore this concept in view of available sensors, with focus on the semi-analytical contra
-band possible for OLI/Landsat 8, that can provide independent information in the orange spectral region (590-635 nm) over turbid inland waters. The OLI orange contra
-band represents the first global open dataset of high spatial resolution information in the orange spectral region. We will discuss performance analysis, new validation data from in situ
hyperspectral networks, and applications related to detection cyanobacterial blooms and quantification of phycocyanin concentration at high spatial resolution.
Bio: Alexandre Castagna is a PhD candidate at the Biology Department of Gent University, Belgium, working both with multi and hyperspectral data for water quality estimation in small inland water bodies. He obtained his MSc. degree in a multidisciplinary context, linking land and atmospheric processes (dust emission and transport) to ocean biogeochemistry in the Southern Ocean. He also worked with coastal ecosystem dynamics, specifically the effect of wind driven water masses intrusion on primary production and tidal impact on phytoplankton diversity in small bays. He has an interest both in the physical and biological components of hydrology optics, including in situ spectroscopy methods, Monte Carlo simulation, IOP inversion and HAB detection/quantification.