A Study on the Quantitative Remote Sensing Model for the Suspended Sediment Concentration in Coastal Waters with ASTER Data

Abstract

Suspended sediment concentration (SSC) is one of the most important water quality parameters. After corrected by 6S atmospheric model, the spectral profiles of water reflectivity of ASTER data are analyzed. There is greater difference in spectral visible and near-infrared bands than that in spectral short wave infrared bands. The higher SSC is, the larger RR/RG is, in which RG and RR are the reflectivity of green band (channel 1) and red band (channel 2). So SSC may be expressed as the function of RR/RG: SSC = f(RR/RG). The quantitative remote sensing model for estimating SSC in coastal waters is founded. The model is well applied in coastal waters of the Yellow River Delta in China. Key Words- ASTER data, suspended sediment concentration, quantitative remote sensing analysis

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA450092

Entities

People

  • Gaohuan Liu
  • Huiguo Li
  • Uinmin Wang
  • Xiaoqin Wang

Organizations

  • Fuzhou University

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Absorption
  • Abstracts
  • Algorithms
  • Atmospheric Scattering
  • Calibration
  • Earth Sciences
  • Electronic Mail
  • Exponential Functions
  • Natural Resources
  • Radiation
  • Reflectivity
  • Remote Sensing
  • Scattering
  • Sediments
  • Short-Wavelength Infrared Radiation
  • Suspended Sediments
  • Water Quality

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Maritime and Naval Warfare Studies