Correction Of Remote Sensing Parameter By The Sediment Depth Remote Sensing Model Of Radiation Sandbank

With the development of remote sensing, the means of remote sensing is the high way to detect the water depth, which is known and accepted by people gradually. Based on the important item of Chinese offshore investigation and assessment, the paper took the major tidal channel in radial submarine sand ridges system of Jiangsu Province as a study object, combining with the in-situ measured suspended sediment concentration and spectral data, the water depth mapping by remote sensing and spectral characters of suspended sediment were studied. The conclusions as follows:(1)Several models were constructed to retrieve the water depth information of the study area by analyzing and comparing the relationship between reflectance derived from Landsat 5 TM satellite data and water depth information. Results show that the non-linear multiple regress model can express better than the line models and non-linear single factor models.(2)When the concentration of suspended sand is low, the water spectral reflectance only has one peak, the peak is in the bands of 570-580nm; when the concentration is higher, the reflectance appears double peaks, the first peak is in the wave bands of 580-590nm, the second lie about in 810nm. The percentage reflectance increases with suspended sediment concentration at red band and near Infrared band, the difference between two peaks is shorten too.(3) Based on calculating the relation coefficient between standard reflectance between suspended sediment concentration(SSC) and Ln(SSC) and consulting the known conclusions home and abroad, we finally took 490550 and 670 nm as sensitive waves to construct suspended sediment remote sensing parameter: X_s = (R₂+R₃)/(R₁/R₂).(4)It was found that the relationship between reflectance and water depth has been improved greatly by band ratio of Ln(SSC) and single band and band combination. The result showed that the effects of suspended sediment on the water depth were decreased, so it allows the water depth information to be retrieved at a relatively high accuracy level.(5)The model for water depth remote sensing was re-constructed by single band and band combination which had been reduced suspended sediment information. The average estimated accuracy was more than 81% in the study region.