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[会议论文]

A study on the quantitative remote sensing model for the suspended sediment concentration in coastal waters with ASTER data

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author:

Wang, X. (Wang, X..) [1] | Wang, Q. (Wang, Q..) [2] | Liu, G. (Liu, G..) [3] | Unfold

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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/R G 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/R G). 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. © 2005 IEEE.

Keyword:

ASTER data; Quantitative remote sensing analysis; Suspended sediment concentration

Community:

  • [ 1 ] [Wang, X.]Spatial Information Research Center, Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Wang, Q.]Spatial Information Research Center, Fuzhou University, Fuzhou 350002, China
  • [ 3 ] [Liu, G.]LREIS, Institute of Geographic and Natural Resources Research, CAS, Beijing 100101, China
  • [ 4 ] [Li, H.]LREIS, Institute of Geographic and Natural Resources Research, CAS, Beijing 100101, China

Reprint 's Address:

  • [Wang, X.]Spatial Information Research Center, Fuzhou University, Fuzhou 350002, China

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Source :

International Geoscience and Remote Sensing Symposium (IGARSS)

Year: 2005

Volume: 3

Page: 1826-1829

Language: English

Cited Count:

WoS CC Cited Count:

30 Days PV: 4

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Online/Total:2546/10817552
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