A Three-Dimensional Inversion Study of Ebinur Terrace

doi:10.6046/gtzyyg.2010.04.26

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Abstract

With ASTER, ETM and SPOT remote-sensing images as the data sources, the authors used remote-sensing software to enhance the images so as to highlight the embankment information of the Ebinur Lake. By superimposition of the practical sampling points, satellite remote-sensing images and DEM data, the relic sites of lakeshore and terrace were determined. Through setting up the flooding model, the authors obtained the three-dimensional information of the Ebinur Lake terrace easily and accurately, formulated high-precision DEM data, created simulated three-dimensional landform model, and realized three-dimensional demonstration and three-dimensional flooding. The overall and partial characteristics of the landform can be observed from different angles, different points of view and different attitudes. With the help of the GIS system tool, the lake surface areas, volumes and flooding ranges of different periods can be accurately calculated, and the surface situation of the Ebinur Lake can be understood through inversion. All these results are of great significance in the study of the morphologic shape and evolution of the Ebinur Lake.

Keywords Land types Fractal theory Shape parameter GIS Nanji Island

TP 79

Issue Date: 02 August 2011

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	ZHANG Hua-guo
	HUANG Wei-gen
	ZHOU Chang-bao

Cite this article:

ZHANG Hua-guo,HUANG Wei-gen,ZHOU Chang-bao. A Three-Dimensional Inversion Study of Ebinur Terrace[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 126-130.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.04.26 OR https://www.gtzyyg.com/EN/Y2010/V22/I4/126

［1］陈莹莹,晚更新世以来祁连山东段河流阶地研究［D］.兰州,兰州大学,2005,57-60.

［2］柏春广,穆桂金.艾比湖湖相沉积物粒度的分维特征与环境意义［J］.干旱区地理,2002,25(4):336-341.

［3］陈蜀江,侯平.新疆艾比湖湿地自然保护区综合科学考察［M］.乌鲁木齐：新疆科技出版社，2006,
4-18.

［4］吴敬禄,林琳.新疆艾比湖湖面波动特征及其原因［J］.海洋地质与第四纪地质，2004，24（1）:57-58.

［5］Mu Guijin,Endo K.Environmental Chananges in the Northwest China During the Last 2000yr and Its Possible Influence to the Migration of the Silk Road［C］∥The Proceedings of the Silk Roads Nara International ′97(On the Silk Road of Sanzo-Hoshi Xuan Zhuang ,the climate and his foot-steps),NIFS,Nara,Japan,1997.

［6］Mu Guijin,Endo K.Environmental Chananges of the Zhungar Basin During the Last 10ka［C］∥The Proceeding of Erkihaku International Symposium(On Terrestrial Environmental Changes and Natural Disasters During the Last 10ka.The National Museum of Japanese History),Sakura,Japan,1997.

［7］柏春光,穆桂金.艾比湖的湖岸地貌及其反映的湖面变化［J］.干旱区地理，1999，22（1）：35-37.

［8］汤国安,刘学军,闾国年,等.数字高程模型及地学分析的原理与方法［M］.北京：科学出版社,2005.

［9］钟秋林.基于DEM的地形地貌生成技术研究与实现［D］.南京：南京理工大学,2005：13-14,16-17.

［10］陈于林.基于DEM的水系提取及水系网多级分解［D］.成都：西南交通大学,2006.

［11］许宝荣.基于栅格DEM的河网自动提取研究［D］.兰州：兰州大学,2005.

［12］胡昌龙,易燕.数字高程模型DEM及其显示［J］.黑龙江科技学院学报,2004,14(4):233-236.

［13］王腊春,谢顺平.太湖流域洪涝灾害淹没范围模拟［J］.地理学报,2000,55(1):47-54.

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