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REMOTE SENSING FOR LAND & RESOURCES    1998, Vol. 10 Issue (2) : 33-40     DOI: 10.6046/gtzyyg.1998.02.05
Applied Research |
PICKING OUT CHRONOSTRATIGRAPHIC INTERFACE ANDTHEIR IMPORTANCE ON CRETACEOUS PERIOD BASININ THE NORTH-EASTERN OF JIANGXI PROVINCE
Zhang Zhi, Xue Chongsheng, Zhao Liangzheng, Wang Jingming
Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074
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Abstract  

sing the information of remote sensing and combining with the sedimentary formation analysis to pick out and study chronostratigraphic interface in cretaceous period basin in the course of studying intracontinental deformation evolution about North-eastern Jiangxi Jiangnan orognic belt and filling sequence of Xinjiang basin. Since three types of chronostratigraphic interfaces (Paleostructure interface, large regional erosional unconformites and overlap interface) have been picked out, it guarantees that the analysis of basin sedimentary facies is right. We can rebuild filling sequence and tectonic evolution stage of basin according to them. The method will become a new kind of methods in the course of terrestrial basin analysis in the future. It can push on founding method system of double mapping on terrestrial basin in 1:50 000 regional survey.

Keywords  Land use      Rural residential land      Dynamic monitoring      Spatial-temporal characteristics      Landscape characteristics      Driving forces     
Issue Date: 02 August 2011
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LIU Fang
ZHANG Zeng-Xiang
WANG Xiao
WEI Xian-Hu
FENG Bing
MENG Xiao-Gong
ZHANG Bin
Cite this article:   
LIU Fang,ZHANG Zeng-Xiang,WANG Xiao, et al. PICKING OUT CHRONOSTRATIGRAPHIC INTERFACE ANDTHEIR IMPORTANCE ON CRETACEOUS PERIOD BASININ THE NORTH-EASTERN OF JIANGXI PROVINCE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1998, 10(2): 33-40.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1998.02.05     OR     https://www.gtzyyg.com/EN/Y1998/V10/I2/33


[1] 夏文臣,周杰,雷建喜.沉积盆地中等时性地层界面的成因类型及其在成因地层分析中的意义地质科技情报,1993,
12(1) :22-26

[2] 解习农,李思田.陆相盆地层序地层研究特点地质科技情报,1993,12(1):27-32

[3] 李思田.程守田.杨士恭等.哪尔多斯盆地东北部层序地层及沉积体系分析—侏罗系富煤单元的形成、分布及预测基
础.北京:地质出版社,1992,13-22

[4] 张克信,童金南,殷鸿福等.浙江长兴二盛系一三益系界线剖面层序地层研究.地质学报,1996, 70( 3) :270-281

[5] 董云麟,张国伟.造山带与前陆盆地结构构造及动力学研究思路和进展.地球科学进展,1997,12(1);1-6

[6] 张志,樊光明,薛重生等.梭东北白里纪红层中首次发现虚骨龙类化石.地质科技情报,1996,15(1):46

[7] 薛重生,张志,王京名等.江西信江白里纪红层影像构造层序分析.地质科技情报,1997,16(增):73-79

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