Remote sensing of chlorophyll concentration based on HJ-1 satellite in Lake Tai, China

Abstract

Environmental remote sensing inversion of chlorophyll concentration in water had always been a hot issue. In recent years, with the development of environmental satellite technology, this hot spot had been pushed to a peak again. There were different inversion methods for lakes, oceans, rivers, reservoirs and other water bodies. Remote sensing inversion of chlorophyll-a concentration of Lake Tai in this paper was implemented, trying to use the measured data of Lake Tai and remote sensing images obtained from the HJ-1 satellite. Firstly, the acquired data was previously processed through atmospheric correction and radiometric calibration. Secondly, the sensitive factor was determined and the ways were band ratio, NDWI, NDVI about it. Thirdly, the inversion model was constructed, single band regression analysis was utilized and accuracy of the model was calculated. The result of the verification showed that the precision was remarkable. Finally, we got conclusions that chlorophyll-a concentration was higher in the east and north of Lake Tai from a spatial point of view and it was lower in winter and spring, rather higher in summer and autumn in terms of time.