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Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology

WANG Yanjiao YAN Feng ZHANG Peiqun DONG Wenjie

WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. 中国地理科学, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2
引用本文: WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. 中国地理科学, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2
WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. Chinese Geographical Science, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2
Citation: WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. Chinese Geographical Science, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2

Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology

doi: 10.1007/s11769-007-0243-2
基金项目: Under the auspices of the Key Program of National Natural Science Foundation of China (No.50339010), Huaihe Valley Open Fund Projects (No.Hx2007)
详细信息
    通讯作者:

    YAN Feng.E-mail:njufy@163.com

Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology

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出版历程
  • 收稿日期:  2006-09-20
  • 修回日期:  2007-02-25
  • 刊出日期:  2007-09-20

Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology

doi: 10.1007/s11769-007-0243-2
    基金项目:  Under the auspices of the Key Program of National Natural Science Foundation of China (No.50339010), Huaihe Valley Open Fund Projects (No.Hx2007)
    通讯作者: YAN Feng.E-mail:njufy@163.com

摘要: Research on quantitative models of suspended sediment concentration(SSC)using remote sensing technology is very important to understand the scouring and siltation variation in harbors and water channels.Based on laboratory study of the relationship between different suspended sediment concentrations and reflectance spectra measured synchronously,quantitative inversion models of SSC based on single factor,band ratio and sediment parameter were developed,which provides an effective method to retrieve the SSC from satellite images.Results show that the b1(430-500nm) and b3(670-735nm) are the optimal wavelengths for the estimation of lower SSC and the b4(780-835nm) is the optimal wavelength to estimate the higher SSC.Furthermore the band ratio B2/B3 can be used to simulate the variation of lower SSC better and the B4/B1 to estimate the higher SSC accurately.Also the inversion models developed by sediment parameters of higher and lower SSCs can get a relatively higher accuracy than the sin-gle factor and band ratio models.

English Abstract

WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. 中国地理科学, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2
引用本文: WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. 中国地理科学, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2
WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. Chinese Geographical Science, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2
Citation: WANG Yanjiao, YAN Feng, ZHANG Peiqun, DONG Wenjie. Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology[J]. Chinese Geographical Science, 2007, 17(3): 243-249. doi: 10.1007/s11769-007-0243-2

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