THE APPLICATION OF REMOTE SENSING IMAGE TO HEBEI SECTION OF MAIN WORKS OF DIVERTING SOUTH-WATER TO NORTH

doi:10.6046/gtzyyg.1990.03.06

Download: PDF(1157 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

The main works of diverting south-water to north which the paper mentioned, from three gorges reservoir of Yangtze River, Cross Yangtze River, Huai River, Yellow River and their drainage area, is 1600 km long. That's great project which make great change to take place in our country.The programme of the project begin in 1950's, and its feasibility has been scientifically expounded and proved. In 1984, infrared colour aerial photography on the scale l/20000 had been finished along the main works from Yellow River to Beijing section by center of Remote Sense, Ministry of Geology and Mineral Resources in order to discuss the feasibility of the project and prepare to earlier work. In this time, we choise a section which is 407km long and 18916km² in Hebei to have success-fully done the analysis of remote sensing on hydrological engineering geology.

Keywords Water-cloud model；LAI SAR Backscattering coefficient RADARSAT

Issue Date: 02 August 2011

	Service

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

	GAO Shuai
	NIU Zheng
	LIU Chen-Zhou
	OUYANG Yu-fei
	LIU Ji-shun
	HAN Hai-tao
	QIU Zhong-xue
	LIU Wei-ming

Cite this article:

GAO Shuai,NIU Zheng,LIU Chen-Zhou, et al. THE APPLICATION OF REMOTE SENSING IMAGE TO HEBEI SECTION OF MAIN WORKS OF DIVERTING SOUTH-WATER TO NORTH[J]. REMOTE SENSING FOR LAND & RESOURCES, 1990, 2(3): 37-41.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.1990.03.06 OR https://www.gtzyyg.com/EN/Y1990/V2/I3/37

[1]	DING Bo, LI Wei, HU Ke. Inversion of total suspended matter concentration in Maowei Sea and its estuary, Southwest China using contemporaneous optical data and GF SAR data[J]. Remote Sensing for Natural Resources, 2022, 34(1): 10-17.
[2]	YANG Wang, HE Yi, ZHANG Lifeng, WANG Wenhui, CHEN Youdong, CHEN Yi. InSAR monitoring of 3D surface deformation in Jinchuan mining area, Gansu Province[J]. Remote Sensing for Natural Resources, 2022, 34(1): 177-188.
[3]	ZANG Liri, YANG Shuwen, SHEN Shunfa, XUE Qing, QIN Xiaowei. A registration algorithm of images with special textures coupling a watershed with mathematical morphology[J]. Remote Sensing for Natural Resources, 2022, 34(1): 76-84.
[4]	AI Lu, SUN Shuyi, LI Shuguang, MA Hongzhang. Research progress on the cooperative inversion of soil moisture using optical and SAR remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(4): 10-18.
[5]	YU Bing, TAN Qingxue, LIU Guoxiang, LIU Fuzhen, ZHOU Zhiwei, HE Zhiyong. Land subsidence monitoring based on differential interferometry using time series of high-resolution TerraSAR-X images and monitoring precision verification[J]. Remote Sensing for Natural Resources, 2021, 33(4): 26-33.
[6]	LI Mengmeng, FAN Xueting, CHEN Chao, LI Qiannan, YANG Jin. Monitoring and interpretation of land subsidence in mining areas in Xuzhou City during 2016—2018[J]. Remote Sensing for Natural Resources, 2021, 33(4): 43-54.
[7]	SHI Min, GONG Huili, CHEN Beibei, GAO Mingliang, ZHANG Shunkang. Monitoring of land subsidence in Beijing-Tianjin-Hebei plain during 2016—2018 based on InSAR and Sentinel-1A data[J]. Remote Sensing for Natural Resources, 2021, 33(4): 55-63.
[8]	LI Yuan, WU Lin, QI Wenwen, GUO Zhengwei, LI Ning. A SAR image classification method based on an improved OGMRF-RC model[J]. Remote Sensing for Natural Resources, 2021, 33(4): 98-104.
[9]	SHA Yonglian, WANG Xiaowen, LIU Guoxiang, ZHANG Rui, ZHANG Bo. SBAS-InSAR-based monitoring and inversion of surface subsidence of the Shadunzi Coal Mine in Hami City, Xinjiang[J]. Remote Sensing for Natural Resources, 2021, 33(3): 194-201.
[10]	ZHANG Teng, XIE Shuai, HUANG Bo, FAN Jinghui, CHEN Jianping, TONG Liqiang. Detection of active landslides in central Maoxian County using Sentinel-1 and ALOS-2 data[J]. Remote Sensing for Land & Resources, 2021, 33(2): 213-219.
[11]	DONG Tiancheng, YANG Xiao, LI Hui, ZHANG Zhi, QI Rui. The extraction of plateau lakes from SAR images based on Faster R-CNN and MorphACWE model[J]. Remote Sensing for Land & Resources, 2021, 33(1): 129-137.
[12]	HE Haiying, CHEN Caifen, CHEN Fulong, TANG Panpan. Deformation monitoring along the landscape corridor of Zhangjiakou Ming Great Wall using Sentinel-1 SBAS-InSAR approach[J]. Remote Sensing for Land & Resources, 2021, 33(1): 205-213.
[13]	JIANG Shan, WANG Chun, SONG Hongli, LIU Yufeng. A study of crop planting type recognition based on SAR and optical remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(4): 105-110.
[14]	SUN Chao, CHEN Zhenjie, WANG Beibei. Expansion monitoring of construction land based on SAR time series: A case study of Xinbei District, Changzhou[J]. Remote Sensing for Land & Resources, 2020, 32(4): 154-162.
[15]	YU Hairuo, GONG Huili, CHEN Beibei, ZHOU Chaofan. Emerging risks and the prospect of urban underground space security based on InSAR-GRACE satellite under the new hydrological background[J]. Remote Sensing for Land & Resources, 2020, 32(4): 16-22.