APPLICATION OF METEOROLOGICAL SATALLITE DATA ON THE STUDY OF SILT DISTRIBUTION IN THE ROUTE OF THE CHANGJIANG RIVER MOUTH

doi:10.6046/gtzyyg.1999.01.04

Download: PDF(1006 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

This paper uses the methorological satellite data with its advantages of time and spatial resolution to determine the silt transport route and range over the Changjiang River Mouth based on model of river cource evolution. It gives a dynamic density distribution of the suspended silt over the Changjiang River Mouth. It also presents the influence of river course silt exchange to the route silt deposition, which can be taken as a scientific basis for fixing the route dredge program.

Keywords The moon Minerals Clementine Spectra

Issue Date: 02 August 2011

	Service

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

	YAN Bo-Kun
	GAN Fu-Ping
	WANG Run-Sheng
	WANG Zhen-Chao
	YANG Su-Ming
	WANG Xing-Ming
	GUO Dong
	LI Jia

Cite this article:

YAN Bo-Kun,GAN Fu-Ping,WANG Run-Sheng, et al. APPLICATION OF METEOROLOGICAL SATALLITE DATA ON THE STUDY OF SILT DISTRIBUTION IN THE ROUTE OF THE CHANGJIANG RIVER MOUTH[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(1): 15-19.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.1999.01.04 OR https://www.gtzyyg.com/EN/Y1999/V11/I1/15

[1]	GAO Qi, WANG Yuzhen, FENG Chunhui, MA Ziqiang, LIU Weiyang, PENG Jie, JI Yanzhen. Remote sensing inversion of desert soil moisture based on improved spectral indices[J]. Remote Sensing for Natural Resources, 2022, 34(1): 142-150.
[2]	WANG Qian, REN Guangli. Application of hyperspectral remote sensing data-based anomaly extraction in copper-gold prospecting in the Solake area in the Altyn metallogenic belt, Xinjiang[J]. Remote Sensing for Natural Resources, 2022, 34(1): 277-285.
[3]	QU Haicheng, WAND Yaxuan, SHEN Lei. Hyperspectral super-resolution combining multi-receptive field features with spectral-spatial attention[J]. Remote Sensing for Natural Resources, 2022, 34(1): 43-52.
[4]	ZHANG Daming, ZHANG Xueyong, LI Lu, LIU Huayong. Remote sensing image segmentation based on Parzen window density estimation of super-pixels[J]. Remote Sensing for Natural Resources, 2022, 34(1): 53-60.
[5]	CHEN Jie, ZHANG Lifu, ZHANG Linshan, ZHANG Hongming, TONG Qingxi. Research progress on online monitoring technologies of water quality parameters based on ultraviolet-visible spectra[J]. Remote Sensing for Natural Resources, 2021, 33(4): 1-9.
[6]	GAO Wenlong, ZHANG Shengwei, LIN Xi, LUO Meng, REN Zhaoyi. The remote sensing-based estimation and spatial-temporal dynamic analysis of SOM in coal mining[J]. Remote Sensing for Natural Resources, 2021, 33(4): 235-242.
[7]	DU Cheng, LI Delin, LI Genjun, YANG Xuesong. Application and exploration of dissolved oxygen inversion of plateau salt lakes based on spectral characteristics[J]. Remote Sensing for Natural Resources, 2021, 33(3): 246-252.
[8]	JIANG Yanan, ZHANG Xin, ZHANG Chunlei, ZHONG Chengcheng, ZHAO Junfang. Classification of remote sensing images based on multi-scale feature fusion using local binary patterns[J]. Remote Sensing for Natural Resources, 2021, 33(3): 36-44.
[9]	ZANG Chuankai, SHEN Fang, YANG Zhengdong. Aquatic environmental monitoring of inland waters based on UAV hyperspectral remote sensing[J]. Remote Sensing for Natural Resources, 2021, 33(3): 45-53.
[10]	WANG Hua, LI Weiwei, LI Zhigang, CHEN Xueye, SUN Le. Hyperspectral image classification based on multiscale superpixels[J]. Remote Sensing for Natural Resources, 2021, 33(3): 63-71.
[11]	WANG Yiuzhu, HUANG Liang, CHEN Pengdi, LI Wenguo, YU Xiaona. Change detection of remote sensing images based on the fusion of co-saliency difference images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 89-96.
[12]	LIU Yongmei, FAN Hongjian, GE Xinghua, LIU Jianhong, WANG Lei. Estimation accuracy of fractional vegetation cover based on normalized difference vegetation index and UAV hyperspectral images[J]. Remote Sensing for Natural Resources, 2021, 33(3): 11-17.
[13]	LI Shuangquan, MA Yufeng, LIU Xun, LI Changchun, DU Jun. Hyperspectral inversion of macro element content in loess based on the profile of Zaoshugou Village, Mangshan Mountain, Zhengzhou City[J]. Remote Sensing for Natural Resources, 2021, 33(3): 121-129.
[14]	SHU Huiqin, FANG Junyong, LU Peng, GU Wanfa, WANG Xiao, ZHANG Xiaohong, LIU Xue, DING Lanpo. Research on fine recognition of site spatial archaeology based on multisource high-resolution data[J]. Remote Sensing for Land & Resources, 2021, 33(2): 162-171.
[15]	XIAO Yan, XIN Hongbo, WANG Bin, CUI Li, JIANG Qigang. Hyperspectral estimation of black soil organic matter content based on wavelet transform and successive projections algorithm[J]. Remote Sensing for Land & Resources, 2021, 33(2): 33-39.