Water Depth Retrieval Model by Remote Sensing in Wuliangsuhai Wetland

Rui Hong Yu; Ting Xi Liu; Rui Ying Hao

doi:10.4028/www.scientific.net/AMR.726-731.4674

Paper Titles

Fire Risk Forecast and Early Warning Technology for Large Oil and Gas Storage & Transport Tank Areas
p.4654

Development and Realization of Contaminated Sites Information and Remediation Decision System Based on GIS
p.4660

Research on Spatial Patterns of Hydrophytes in Wuliangsuhai Wetland
p.4664

The Analysis on Dynamic Changes of Land Desertification and Salinization Based on RS and GIS
p.4668

Water Depth Retrieval Model by Remote Sensing in Wuliangsuhai Wetland
p.4674

Potential Distribution Prediction of Semiothisa cinerearia in China Based on GARP Ecological Niche Model
p.4678

A New Index for Steel Framed Roof Information Extraction Based on Remote Sensing
p.4682

Comparative Analysis of Forest Height Retrieval Methods by Polarimetric SAR Interferometry
p.4686

GIS-Aided Evolvement Analysis of Spatial-Temporal Pattern of Regional Tourism Industry Environment
p.4690

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 726-731Water Depth Retrieval Model by Remote Sensing in...

Water Depth Retrieval Model by Remote Sensing in Wuliangsuhai Wetland

Abstract:

Wuliangsuhai wetland located in Inner Mongolia Autonomous Region (IMAR) is selected as the study area to analyze the wetland environment evolution. Wuliangsuhai wetland is the largest freshwater lake in the Yellow River basin, and also the largest natural wetland along the same latitude on the earth. Through the optimization comparison of multiple wave-band reflection combination, the regression equation of the water depth and wave band reflection combination of TM3, TM2 and TM1 is established based on the remote sensing principles.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 726-731)

Pages:

4674-4677

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.726-731.4674

Citation:

Cite this paper

Online since:

August 2013

Authors:

Rui Hong Yu, Ting Xi Liu, Rui Ying Hao

Keywords:

Remote Sensing, Retrieval Model, Water Depth, Wuliangsuhai Wetland

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] V. Mgengel, R. J. Spitzer: Application of remote sensing data to mapping of shallow sea-floor near by Netherlands. International Journal of Remote Sensing Vol. 7(1991), pp.473-479.

Google Scholar

[2] D. Nellism, J.A. Harrington, J.P. Wu: Remote sensing of temporal and spatial variations in pool size, suspended sediment, turbidity, and Secchi depth in Tuttle Creek Reservoir. Geomorphology Vol. 21(1998), pp.281-293.

DOI: 10.1016/s0169-555x(97)00067-6

Google Scholar

[3] J.N. Provost, C. Collet, P. Rostaing: Hierarchical Markovian segmentation of multispectral images for the reconstruction of water depth map. Computer Vision and Image Understanding Vol. 93(2004), pp.155-174.

DOI: 10.1016/j.cviu.2003.07.004

Google Scholar

[4] K.S. Song, B. Zhang, Z.M. Wang: Hyperspectral model for transparency of Chagan lake in semi arid environment of Songnen plain. Advances in Water Science Vol. 18(2007), pp.790-796.

Google Scholar

[5] J.G. Wen, Q. Xiao, Y.P. Yang: Spectral mixing model and its stability of chlorophyll-a concentration extraction based on hyperspectral data. Advances in Water Science Vol. 18(2007), pp.270-276.

Google Scholar