Inland excess water mapping using hyperspectral imagery

Abstract

Hyperspectral imaging combined with the potentials of airborne scanning is a powerful tool to monitor environmental processes. The aim of this research was to use high resolution remotely sensed data tomap the spatial extent of inland excess water patches in a Hungarian study area that is known for its oiland gas production facilities. Periodic floodings show high spatial and temporal variability, nevertheless,former studies have proven that the affected soil surfaces can be accurately identified. Besides separabilitymeasurements, we performed spectral angle classification, which gave a result of 85% overall accuracyand we also compared the generated land cover map with LIDAR elevation data