Mapping Aquatic Systems with a Physically Based Process Chain

Kurzfassung

The Modular Inversion Program (MIP) is a processing and development tool designed for the mapping of hydro-biological parameters from multi- and hyperspectral remote sensing data. The architecture of the program consists of general and transferable algorithms based on physical inversion schemes that derive bio-physical parameters from the measured radiance signal at the sensor. The radiative transfer in MIP is simulated in a coupled, plane-parallel atmosphere-ocean system based on the FEM-method. Radiative transfer calculations are stored independent on specific sensor and recording conditions in extensive libraries. The reduction to concrete recording conditions and the adjustment of algorithms to the sensor specifications is supported automatically in MIP. The libraries and analytical parametrizations of the underwater light field form the search space for the retrieval algorithms. Program modules are used for the retrieval of aerosols, sun glitter correction, atmosphere and water surface corrections, retrieval of water constituents, phytoplankton primary production, water column correction and the classification of surface substrates such as submerged macrophytes and bottom sediments amongst others. Data were collected from multi- and hyperspectral airborne and satellite sensors (Daedalus AADS1268, HYMAP, ChrisProba) over German inland waters. The processing system has been tested and validated on data for various applications (see also contributions from Miksa et al. and Pinnel et al.). Details presented here focus on atmospheric correction, water body correction and bottom classification algorithms. 1