Synchronization experiment was conducted in June, 2009 to get Inherent Optical Properties (IOP) of water component in Chaohu Lake. Water bio-optical mechanism was studied combined with multispectral data of Environmental Satellite 1 (CCD), and then inversion models of total suspended matter (TSM), inorganic suspended matter (ISM) and organic suspended matter (OSM) concentration were built. The data indicated that: the absorption ratio of suspended particulate matter and CDOM to total were almost no change from band 1 to band 2 with about 85% and 9%, respectively. The ratio of pure water to total increased from 0.4% to 5.6%. Water reflectance in these two bands were influenced by absorption of three kinds of components: algae particles absorption surpassed non-algal particles in band 3, and so played an important role in total absorption with about 35.7%; the proportion of pure water absorption and particles matter backscattering both were 99% in band 4, so these two components decided the main inherent optical properties in band 4. The models of TSM and ISM concentration inversion based on band combination (band 3 + band 4)/(band 1 + band 2) were built, while OSM concentration was estimated by band 4/ (band 1 + band 2) index. Inversed by image data, RE of TSM concentration between modeled and measured was 33.4%, and RMSE was 18.68 mg/L. RE of ISM and OSM concentration were 39.9% and 35.2% respectively. The inversion was more accurate when satellite-ground data were just in the same day. At this situation, RE of ISM concentration dropped to 25.4%, and that of TSM and OSM reduced to 26.5% and 26.8% as well.
HJ-1 Satellite, bio-optical property, Chaohu Lake, suspended matter
Citation:Wang Q, Jin X, Li Y M, et al. Estimation of suspended sediment concentration based on bio-optical mechanism and HJ-1 image in As it is well known, water columns show weak remotely sensed signals owing to its strong absorption. Therefore, accurate retrievals of chlorophyll concentrations, suspended matter concentrations and others are always difficult tasks in the field of water color remote sensing. The increase of suspended matter content in waters can induce corresponding increase of spectral reflectance, which supports a chance for extracting suspended matter information. However, the collected spectral reflectance reflect mixtures of multiple material information, such as chlorophyll, colored dissolved organic matter (CDOM), which increase difficulty of extracting suspended matter contents in waters. Thus to accurately derive suspended sediment concentration, a key point is to explore optical parameter which can enhance suspended matter information to a large extent, and can also effectively decrease interference from other water components [1]. Many scholars proposed inversion models with different band combinations and image data from different sensors.