Hyperspectral Remote Sensing of Coastal Environment
|Kustantaja||Tampere University of Technology|
|Tila||Julkaistu - 18 marraskuuta 2016|
|Nimi||Tampere University of Technology. Publication|
The planning of hyperspectral ﬂight campaign HYPE08 in South-West Finland raised the need to validate and develop data processing methods for HYPE08 as well as for future hyperspectral ﬂight campaigns. The research presented in this thesis can be largely considered as a response to this need. The study concentrates on four main topics: wetlands mapping, benthic mapping, water quality and atmospheric correction. The study was done using airborne hyperspectral data and ﬁeld spectroscopy measurements.
The results of this study emphasize the importance of local calibration and validation of methods used. Water quality retrieval algorithms developed in local environmental conditions outperformed those validated elsewhere. The results also show that hyperspectral remote sensing of benthic cover types is limited to rather shallow areas, indicating the need to use state of the art methodology in order to increase operational depth range. The proposed atmospheric correction algorithm produced very good results. The accuracy of model-based algorithm increases when Empirical-Line (EL) correction using spectral ﬁeld measurements was applied to spectra generated by the model.