Description
Water quality monitoring in coastal ocean estuaries and inland lakes is critical for ecosystems and fisheries management and safe drinking water. Remote sensing of water quality parameters has conventionally used data from multispectral sensors (e.g., Aqua Moderate Resolution Imaging Spectroradiometer (MODIS), Landsat Operational Land Imager (OLI), Sentinel-3 Ocean and Land Colour Instrument (OLCI), Sentinel-2 Multispectral Imager (MSI)) with a limited number of spectral bands.
There have been research missions with hyperspectral sensors (e.g., EO-Hyperion, HICO) that have demonstrated that hyperspectral data (bandwidth <10 nm) can capture more detailed information about water surface reflectance and enable the detection of a wide variety of water pollutants. Plankton, Aerosol, Cloud, ocean, Ecosystem (PACE), a new NASA mission, was launched on 8 February 2024. PACE – Ocean Color Instrument (OCI) collects global, hyperspectral observations for water quality monitoring.
This three-part introductory training will provide an overview of past and current hyperspectral sensors. Specifically, the training will provide information on NASA’s PACE mission, its sensors and data products, webtools to access data, and software for processing hyperspectral data and water quality parameters derived from PACE/OCI. The training will also highlight some advantages and limitations of PACE data. This will be the first ARSET training focusing on the use of hyperspectral data for water quality applications.