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EXTENSION OF ATMOSPHERIC CORRECTION POLYMER TO HYPERSPECTRAL SENSORS: APPLICATION TO HICO AND FIRST RESULTS FOR DESIS DATA
Citation:
Bracher, A., M. Soppa, P. Gege, L. Alvarado, I. Dröscher, AND D. Keith. EXTENSION OF ATMOSPHERIC CORRECTION POLYMER TO HYPERSPECTRAL SENSORS: APPLICATION TO HICO AND FIRST RESULTS FOR DESIS DATA. International Geoscience and Remote Sensing Symposium, NA, Virtual, BELGIUM, July 12 - 16, 2021.
Impact/Purpose:
This study proves that hyperspectral data acquired from earth orbiting satellites can be transformed in water quality information in support of nutrient and harmful algal bloom monitoring in coastal and inland systems. The application of this technology to environmental monitoring is dependent on successful retrieval of color from the underwater light field. In this study, the Polymer atmospheric correction procedure demonstrated its potential as a tool to process new and future hyperspectral satellite mission data into information that can assist state and federal clients in sustainable management practices and inform the general public about water quality conditions.
Description:
Satellite sensor configurations enabling high spatial and high spectral resolution could be far more suited for monitoring inland and coastal water ecosystems’ water quality than common ocean color sensors. It is expected that even the composition of phytoplankton, the primary producer in these ecosystems, could be determined. Up to now, atmospheric correction is limiting the exploitation of these sensors’ data. Here, we evaluate the atmospheric correction method Polymer applied to hyper- and multispectral satellite data (HICO, DESIS and OLCI) over coastal and inland waters. We assess the quality of retrieved water reflectance and biomass for all and specific phytoplankton groups by comparison to in-situ matchup data and results from other retrieval methods.
