THE APPLICATION OF REMOTE SENSING TECHNIQUE TO THE HYDRO-ELECTRIC CONSTRUCTION OF EARLIER STAGE IN CHINA

doi:10.6046/gtzyyg.1995.03.01

Download: PDF(547 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Abstract Since 1980s, A number of large scale of remote sensing investigation for the constraction of hydro-electric powerstation have been gone on in the regions of ErTa of the Yalong River, Three Gorge of the Yangzi River, Long Tan of the Red water River,Long Yang Gorge of the yellow River, and XiLuoDu, BaiHeTan of the Jin Sha River,and soon.By using the methods of the combination of the data of multi-types, multi-temporal,and multi-plateform, and the combination of the image interpretalion and site verification, regional background of geology, the slope stability, land cover, submorge loss,environment of the reser voir and soon were investigated for feasibility demostration of the constraction of the hydro-electic powerstations.The Characteristics of hydro-electric Remote Sensing in China are: the great scale,the extensive investigation, the reasonable methods and to tackle key problems cooperatively.

Keywords The Yellow River Riverway Change (evolution) Remote sensing monitoring Yinchuan plain

Issue Date: 02 August 2011

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	WU Jia-Min
	WANG Run-Sheng
	TAO Jian-Hua
	SUN Wei
	WANG Yan-Chun
	LI Mei
	YANG Rui
	GUO Hai-Hua
	LI Yu-Feng

Cite this article:

WU Jia-Min,WANG Run-Sheng,TAO Jian-Hua, et al. THE APPLICATION OF REMOTE SENSING TECHNIQUE TO THE HYDRO-ELECTRIC CONSTRUCTION OF EARLIER STAGE IN CHINA[J]. REMOTE SENSING FOR LAND & RESOURCES, 1995, 7(3): 1-8.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.1995.03.01 OR https://www.gtzyyg.com/EN/Y1995/V7/I3/1

[1]	BU Ziqiang, BAI Linbo, ZHANG Jiayu. Spatio-temporal evolution of Ningxia urban agglomeration along the Yellow River based on nighttime light remote sensing[J]. Remote Sensing for Natural Resources, 2022, 34(1): 169-176.
[2]	CHEN Dong, YAO Weiling. Automatic numbering and method improvement of mine patches based on ArcPy and custom ArcToolbox[J]. Remote Sensing for Land & Resources, 2021, 33(2): 262-269.
[3]	WANG Jie, LIU Xiaoyang, YANG Jinzhong, ZHOU Yingjie, An Na, WANG Zhihui. Typical model analysis of mine geological environment restoration and management in Zhejiang Province based on domestic high-resolution satellite data[J]. Remote Sensing for Land & Resources, 2020, 32(3): 216-221.
[4]	DIAO Mingguang, LIU Wenjing, LI Jing, LIU Fang, WANG Yanzuo. Dynamic change detection method of vector result data in mine remote sensing monitoring[J]. Remote Sensing for Land & Resources, 2020, 32(3): 240-246.
[5]	Haigang SHI, Chunli LIANG, Jianyong ZHANG, Chunlei ZHANG, Xu CHENG. Remote sensing survey of the influence of coastline changes on the thermal discharge in the vicinity of Tianwan Nuclear Power Station[J]. Remote Sensing for Land & Resources, 2020, 32(2): 196-203.
[6]	Xi LIU, Lina HAO, Xianhua YANG, Jie HUANG, Zhi ZHANG, Wunian YANG. Research and implementation of rapid statistical methods for mine remote sensing monitoring indicators[J]. Remote Sensing for Land & Resources, 2020, 32(2): 259-265.
[7]	Jie WANG, Yaqiu YIN, Hang YU, Cunhao JIANG, Yu WAN. Remote sensing monitoring of mine geological environment in Zhejiang Province based on RS and GIS[J]. Remote Sensing for Land & Resources, 2020, 32(1): 232-236.
[8]	Yuling ZHAO, Jinzhong YANG, Yaqiu YIN, Hang ZHAO, Jinbao HE, Han ZHANG. Research on remote sensing monitoring of zirconium-titanium sand mine exploitation and strategies of ecological restoration on the eastern beach of Hainan Island[J]. Remote Sensing for Land & Resources, 2019, 31(4): 143-150.
[9]	Haiping WU, Shicun HUANG. Research on new construction land information extraction based on deep learning: Innovation exploration of the national project of land use monitoring via remote sensing[J]. Remote Sensing for Land & Resources, 2019, 31(4): 159-166.
[10]	Zhen CHEN, Yunshi ZHANG, Yuanyu ZHANG, Lingling SANG. A study of remote sensing monitoring methods for the high standard farmland[J]. Remote Sensing for Land & Resources, 2019, 31(2): 125-130.
[11]	Xianhua YANG, Jie HUANG, Li TIAN, Bei PENG, Lixiao XIAO, Xinlong SONG. Application of mine remote sensing monitoring to analysis of mine goaf stability[J]. Remote Sensing for Land & Resources, 2018, 30(3): 143-150.
[12]	Chungui ZHANG, Bingqing LIN. Application of FY-2E data to remote sensing monitoring of sea fog in Fujian coastal region[J]. Remote Sensing for Land & Resources, 2018, 30(1): 7-7.
[13]	XUE Qing, WU Wei, LI Mingsong, DONG Shuangfa, ZHANG Xinyi, SHI Haigang. Application of GF-1 satellite data to remote sensing monitoring of the mine[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 67-72.
[14]	WANG Yijun, ZHAO Jun, WEI Wei, HAN Liqin. Remote sensing investigation and analysis of wetland in Gansu section of Heihe River Basin in the past 14 years[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 111-117.
[15]	SONG Yang, FANG Shibo, LIANG Hanyue, KE Lina. Comparison and application of agricultural drought indexes based on MODIS data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 215-220.