Simulation and Assessment of the Capabilities of Orbita Hyperspectral (OHS) Imagery for Remotely Monitoring Chlorophyll-a in Eutrophic Plateau Lakes

The chlorophyll-a (Chl-a) concentration of eutrophic lakes fluctuates significantly due to the disturbance wind and anthropogenic activities on water body. Consequently, estimation Chl-a has become an immense challenge. Due urgent demand rapid development in high-resolution earth observation systems, it crucial assess hyperspectral satellite imagery capabilities inland monitoring. Orbita (OHS) is latest sensor with both high spectral spatial resolution (2.5 nm 10 m, respectively), which could provide great potential for remotely estimating waters. However, there are still some deficiencies that mainly manifested remote sensing retrieval model assessment accuracy validation, as well signal-to-noise ratio (SNR) OHS Therefore, radiometric performance quality monitoring evaluated this study by comparing different atmospheric correction models SNR several images. Several findings can be drawn: (1) three-band ((1/B15-1/B17)B19) developed most suitable Dianchi Lake, root-mean-square error (RMSE) mean absolute percentage (MAPE) 15.55 µg/L 16.31%, respectively; (2) applicability FLAASH (Fast Line-of-sight Atmospheric Analysis Spectral Hypercubes) a plateau lake (Dianchi Lake) was better than 6S (Second Simulation Satellite Signal Solar Spectrum) model, QUAC (Quick Correction) dark pixel method; (3) similar Hyperion higher HSI imagery; (4) showed slight influence imagery. results show applied presents new tool dynamic quality.