An Approach to Estimate the Water Level and Volume of Dongting Lake Using Terra/MODIS Data

Expand
  • National Institute for Environmental Studies, Tsukuba 305-0053, Japan

Received date: 2003-09-07

  Revised date: 2003-11-29

  Online published: 2004-01-25

Supported by

Integrated Environmental Monitoring (IEM) Subproject, the Asia-Pacific Environmental Innovation Strategy Project (APEIS)

Abstract

By using Terra/MODIS satellite data in 2002, the dynamic variation of surface water area and water storage in Dongting Lake was studied. We, at first, divided the whole Dongting Lake into three parts (WDL: West Dongting Lake, SDL: South Dongting Lake, EDL: East Dongting Lake from west side) according to geographical characteristics. Secondly, surface water area was detected based on the spectral deference between water and terrestrial area using satellite (Terra/MODIS) NDVI (Normalized Difference Vegetation Index) data. Thirdly, the surface water area was overlaid on the lake bottom DEM with a grid size of 50 m by 50 m, and the water level could be calculated. Finally, the water storage was obtained by times water depth (difference between water surface elevation and lake-bottom elevation.) with the grid area. The total water storage at Dongting Lake was calculated by accumulating all water column values in the whole lake. By comparing the estimated water level and storage with the measurements in the three parts of the Dongting Lake, we found that there are high correspondences between the two, which implies that our method is an effective approach to estimate water level and water storage of a large lake.

Cite this article

KAMEYAMA Satoshi, ZHANG Jiqun, WANG Qinxue, XU Kaiqin,KATOH Takao, WATANABE Masataka . An Approach to Estimate the Water Level and Volume of Dongting Lake Using Terra/MODIS Data[J]. Acta Geographica Sinica, 2004 , 59(1) : 88 -94 . DOI: 10.11821/xb200401011

References


[1] Shiklomanov A I, R B Lammers, C J V?r?smarty. Widespread decline in hydrological monitoring threatens Pan-Arctic research. Eos Trans., 2002, 83: 13-16.

[2] IAHS Ad Hoc Group on Global Water Data Sets. Global water data: a newly endangered species. Eos Trans., 2001, 82: 54-58.

[3] Stokstad E. Scarcity of rain, stream gages threatens forecasts. Science, 1999, 285: 1199.

[4] Bjerklie D M, Dingman S L, Vorosmarty C J et al. Evaluating the potential for measuring river discharge from space. J. Hydro., 2003, 278 (1-4): 17-38.

[5] Smith L C. Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrol. Processes, 1997, 11: 1427-1439.

[6] Alsdorf D E, Lettenmaier D, V?r?smarty C and the NASA Surface Water Working Group. The need for global satellite based observations of terrestrial surface waters. EOS, 2003, 84(29): 269-280.

[7] Alsdorf D E, Melack J M, Dunne T et al. Interferometric radar measurements of water level changes on the Amazon flood plain. Nature, 2000, 404: 174-177.

[8] Birkett C M. Contribution of the TOPEX NASA radar altimeter to the global monitoring of large rivers and wetlands. Wat. Resour. Res., 1998, 34: 1223-1239.

[9] Fang Chunming, Zhong Zhengqing. The influence of capacity decrease on flood stages in Dongting Lake and in Yangtze River. Journal of Hydraulic Engineering, 2001, 11: 70-75.
[方春明, 钟正琴. 洞庭湖容积减小对洞庭湖和长江洪水位的影响. 水利学报, 2001, 11: 70-75.]

Outlines

/