Application of MODIS data in monitoring suspended sediment of Taihu Lake, China

Xingwei Jiang; Junwu Tang; Minwei Zhang; Ronghua Ma; Jing Ding

doi:10.1007/s00343-009-9160-9

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Application of MODIS data in monitoring suspended sediment of Taihu Lake, China

Updated：2023-05-16

- Application of MODIS data in monitoring suspended sediment of Taihu Lake, China
- Journal of Oceanology and Limnology Vol. 27, Issue 3, Pages: 614-620(2009)
- Affiliations：
  
  1. National Satellite Ocean Application Service (NSOAS) State Oceanic Administration
  2. Center for Earth Observation and Digital Earth Chinese Academy of Sciences
  3. Nanjing Institute of Geography and Limnology Chinese Academy of Sciences
- Author bio：
- Funds：
- DOI：10.1007/s00343-009-9160-9
  CLC：
- Online First：07 November 2009，
  
  Published：2009
- Accepted：
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Jiang, X., Tang, J., Zhang, M. et al. Application of MODIS data in monitoring suspended sediment of Taihu Lake, China., Chin. J. Ocean. Limnol. 27, 614–620 (2009). https://doi.org/10.1007/s00343-009-9160-9
DOI：

Jiang, X., Tang, J., Zhang, M. et al. Application of MODIS data in monitoring suspended sediment of Taihu Lake, China., Chin. J. Ocean. Limnol. 27, 614–620 (2009). https://doi.org/10.1007/s00343-009-9160-9 DOI：

摘要

Abstract

Application of MODIS in ocean color is mainly based on bands 8–16 with the spatial resolution of 1 000 m. This spatial resolution

however

can not meet the application demand of inland waters where the areas are relatively small. With the assumption of the black water at shortwave infrared (SWIR) wavelengths (>1 000 nm)

we first propose an atmospheric correction method for bands 1 and 2 with their spatial resolution of 250 m

and we then establish a quantitative retrieval model for suspended sediment concentration retrieval using the in-situ data collected in Taihu Lake. We also use MODIS data to retrieve the suspended sediment concentration of Taihu Lake with the retrieval model. The comparison between the retrieved and measured suspended sediment concentrations confirms that our algorithm can provide reliable data for monitoring the suspended sediment in Taihu Lake.

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Keywords

references

Chen Z Q, Hu C M, Frank M K. 2007. Monitoring turbidity in Tampa Bay using MODIS/Aqua 250 m imagery. Remote sensing of Environment, 109: 207–202.

Cox C, Munk W. 1954. Measurement of the roughness of the sea surface from photographs of the sun’s glitter. J. Opt. Soc. Am., 44: 830–850.

Deng M, Li Y. 2003. Use of SeaWiFS imagery to detect three-dimensional distribution of suspended sediment. International Journal of Remote Sensingm 24: 519–534.

Doxaran D, Froidefond J M, Lavender S J et al. 2002. Spectral signature of highly turbid water application with SPOT data to quantify suspended particulate matter concentration. Remote sensing of Environment, 81: 149–161.

Doxaran D, Froidefond J M, Castaing P. 2003. Remote Sensing Reflectance of Turbid Sediment-Dominated Waters. Reduction of Sediment Type Variations and Changing Illumination Conditions Effects by Use of Reflectance Ratios. Applied Optics, 42: 2 623–2 634.

Gordon H R, Brown J W, Robert H E. 1988. Exact Rayleigh scattering calculations for use with the Nimbus 7 Costal Zone Color Scanner. Applied Optics, 27: 862–871.

Gordon H R, Castaono D J. 1989. Aerosol analysis with the Coastal Zone Color Scanner: A simple method for including multiple scattering effects. Applied Optics, 28: 1 320–1 326.

Gordon H R, Wang M H. 1994a. Retrieval of water leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. Applied Optics, 33: 443–452.

Gordon H R, Wang M H. 1994b. Influence of oceanic whitecaps on atmospheric correction of ocean color sensors. Applied Optics, 33: 7 754–7 763.

Gordon H R. 1995. Remote sensing of ocean color: a methodology for dealing with broad spectral bands and significant out-of-band response. Applied Optics, 34: 8 363–8 374.

Hale G M, Querry M R. 1973. Optical constants of water in the 200-nm to 200-micrometer wavelength region. Applied Optics, 12: 555–563.

Han Z, Jin Y Q, Yun C X. 2006. Suspended sediment concentrations in the Yangtze River estuary retrieved from the CMODIS data. International Journal of Remote Sensing, 27: 4 329–4 336.

Hellweger F L, Schlosser P, Lall V. 2004. Use of Satellite imagery for water quality studies in NewYork harbor, Estuarine. Coast and Shelf Science, 61: 437–448.

Hu C M, Carder K L, Frank E M. 2000. Atmospheric correction of SeaWiFS imagery over turbid coastal waters: a practical method. Remote Sensing of Environment, 74: 195–206.

Hu C M, Chen Z Q, Clayton T D et al. 2004. Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, Florida. Remote Sensing of Environment, 93: 423–441.

Lavender S J, Pinkerton M H, Moore G F. 2005. Modification to the atmospheric correction of SeaWiFS ocean color images over turbid waters. Continental Shelf Research, 25: 539–555.

Li J. 1986. Remote sensing quantitative research about the suspended solids concentration. Acta Scientiae Circumstantiae, 6: 166–173. (in Chinese)

Lv H, Li X G, Jiang N. 2005. Estimation of Suspended Solids Concentration in Lake Taihu Using Spectral Reflectance and Simulated MERIS. Journal of Lake Sciences, 17: 104–109. (in Chinese)

Ma R H, Dai J F. 2005. Quantitative Estimation of Chlorophyll-a and Total Suspended Matter Concentration with Landsat ETM Based on Field Spectral Features of Lake Taihu. Journal of Lake Sciences, 17: 97–103. (in Chinese)

Ma R H, Tang J W, Dai J F et al. 2006. Bio-optical model with optimal parameter suitable for Lake Taihu in water colour remote sensing. International Journal of Remote Sensing, 27: 4 303–4 326.

Ma R H, Song Q J, Tang J W et al. 2007. A simple empirical model for remote sensing reflectance of Lake Taihu waters in autumn. Journal of Lake Sciences, 19: 227–234. (in Chinese)

Mahtaba A L, Runquist D C, Han L H. 1998. Estimation of suspended sediment concentration in water using integrated surface reflectance. Geoearto International, 13: 11–15.

Miller R L, McKee B A. 2004. Using MODIS Terra 250m imagery to map concentration of total suspended matter in coastal waters. Remote sensing of Environment, 93: 259–266.

Moore G F, Aiken J, Lavender S J. 1999. The atmospheric correction of water colour and the quantitative retrieval of suspended particulate matter in Case 2 waters: application to MERIS. International Journal of Remote Sensing, 20: 1 713–1 733.

Robinson I S. 2004. Measuring the Oceans from Space — The Principles and Methods of Satellite Oceanography. Praxis Publishing, Chichester, UK. p. 149–201.

Ruddick K G, Ovidio F, Rijkeboer M. 2000. Atmospheric correction of SeaWiFS imagery for turbid coastal and inland Waters. Applied Optics, 39: 897–912.

Siegel D A, Wang M H, Maritorena S et al. 2000. Atmospheric correction of satellite ocean color imagery: the black pixel assumption. Applied Optics, 39: 3 582–3 591.

Tassan S. 1993. An improved in-water algorithm for the determination of chlorophyll and suspended sediment concentration from Thematic Mapper data in coastal waters. International Journal of Remote Sensing, 14: 1 221–1 229.

Wang M H, Gordon H R. 1994. A Simple Moderate Accurate Atmospheric Correction Algorithm for SeaWiFS. Remote Sensing of Environment, 50: 231–239.

Wang M H, Bailey S W. 2001. Correction of Sun glint Contamination on the SeaWiFS Ocean and Atmosphere Products. Applied Optics, 40: 4 790–4 798.

Wang M H. 2005. A refinement for the Rayleigh radiance computation with variation of the atmospheric pressure. International Journal of Remote Sensing, 26: 5 651–5 663.

Wang M H, Shi W. 2005. Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies. Geophysical Research Letters, 32: L13606.

Wang M H. 2007. Remote sensing of the ocean contributions from ultraviolet to near-infrared using the shortwave infrared bands: simulations. Applied Optics, 46: 1 535–1 547.

Wang Y H, Deng Z D, Ma R H. 2007. Suspended solids concentration estimation in Lake Taihu using field spectra and MODIS data. Acta Scientiae Circumstantiae, 27: 509–515. (in Chinese)

Wang Y P. 2004. Water quality change in reservoirs of Shenzhen, China: detecting using landsat/TM Data. The Science of Total Environment, 328: 195–206.

Warrick J A, Mertes L A K, Siegel D A et al. 2004. Estimating suspended sediment concentrations in turbid coastal waters of the Santa Barbara Channel with SeaWiFS. International Journal of Remote Sensing, 25: 1 995–2 002.

Yin Q, Gong C L, Kuang D B et al. 2005. Method of satellite remote sensing of lake water quality and its applications. Journal of Infrared and Millimeter Waves, 24: 198–202. (in Chinese)

Yuan G L, Zhu Y Y, He B et al. 2001. Remote sensing quality model of SS (suspended solid) in the dianchi lake water bodies. Environmental Science and Technology, 24: 16–18. (in Chinese)

Zhou G. 2007. Research of simulation of water optical properties and remote sensing inversion of inland water quality parameter [Doctor Dissertation]. Institute of remote sensing applications Chinese academy of sciences, Beijing, China. p. 107–157. (in Chinese)

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