Development of a Hyperspectral sensor system for model-based remote water constituent inference

Abstract

This project undertook a model-based inversion of spectral data for remote sensing of water constituents, from satellite based hyperspectral sensors. As the atmosphere effects dominate the observed spectrum, a parameterised model is needed for both the atmosphere, the water/atmosphere interface and the water itself. In order to calibrate these models, a sensor was developed for recording hyperspectral data. This sensor is portable and lightweight so that is can be used to simultaneously gather downwelling irradiance, as well as upwelling irradiance from a boat or other mobile platform during a HICO satellite sensor observation. We present data from apparatus deploying this sensor and perform model based inference on this data, as well as data from the HICO system.