• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于卫星遥感影像的长江某大城市周边河心洲变化研究

Variation of River Islands around a Large City along the Yangtze River from Satellite Remote Sensing Images.

作者信息

Shi Haiyun, Gao Chao, Dong Changming, Xia Changshui, Xu Guanglai

机构信息

School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, China.

出版信息

Sensors (Basel). 2017 Sep 27;17(10):2213. doi: 10.3390/s17102213.

DOI:10.3390/s17102213
PMID:28953218
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5677431/
Abstract

River islands are sandbars formed by scouring and silting. Their evolution is affected by several factors, among which are runoff and sediment discharge. The spatial-temporal evolution of seven river islands in the Nanjing Section of the Yangtze River of China was examined using TM (Thematic Mapper) and ETM (Enhanced Thematic Mapper)+ images from 1985 to 2015 at five year intervals. The following approaches were applied in this study: the threshold value method, binarization model, image registration, image cropping, convolution and cluster analysis. Annual runoff and sediment discharge data as measured at the Datong hydrological station upstream of Nanjing section were also used to determine the roles and impacts of various factors. The results indicated that: (1) TM/ETM+ images met the criteria of information extraction of river islands; (2) generally, the total area of these islands in this section and their changing rate decreased over time; (3) sediment and river discharge were the most significant factors in island evolution. They directly affect river islands through silting or erosion. Additionally, anthropocentric influences could play increasingly important roles.

摘要

江心洲是由冲刷和淤积形成的沙洲。它们的演变受到多种因素的影响,其中包括径流和输沙量。利用1985年至2015年每隔五年的专题绘图仪(TM)和增强型专题绘图仪(ETM)+影像,对中国长江南京段的七个江心洲的时空演变进行了研究。本研究采用了以下方法:阈值法、二值化模型、图像配准、图像裁剪、卷积和聚类分析。还使用了南京段上游大通水文站实测的年径流量和输沙量数据,以确定各种因素的作用和影响。结果表明:(1)TM/ETM+影像符合江心洲信息提取的标准;(2)总体而言,该河段这些江心洲的总面积及其变化率随时间下降;(3)泥沙和河流流量是江心洲演变的最重要因素。它们通过淤积或侵蚀直接影响江心洲。此外,人为影响可能发挥越来越重要的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/62555a0662a6/sensors-17-02213-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/101e48188ab7/sensors-17-02213-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/8418965281d8/sensors-17-02213-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/9b88232bc37b/sensors-17-02213-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/2685bd9e540e/sensors-17-02213-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/0730b0a230de/sensors-17-02213-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/51ad48917c0b/sensors-17-02213-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/595a31788a94/sensors-17-02213-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/7eaf6ee9c136/sensors-17-02213-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/5aef1ecc4771/sensors-17-02213-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/a6f6b8ca2047/sensors-17-02213-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/3bb6de55d90a/sensors-17-02213-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/87d94fa9a03c/sensors-17-02213-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/56d0e3d93486/sensors-17-02213-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/62555a0662a6/sensors-17-02213-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/101e48188ab7/sensors-17-02213-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/8418965281d8/sensors-17-02213-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/9b88232bc37b/sensors-17-02213-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/2685bd9e540e/sensors-17-02213-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/0730b0a230de/sensors-17-02213-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/51ad48917c0b/sensors-17-02213-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/595a31788a94/sensors-17-02213-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/7eaf6ee9c136/sensors-17-02213-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/5aef1ecc4771/sensors-17-02213-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/a6f6b8ca2047/sensors-17-02213-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/3bb6de55d90a/sensors-17-02213-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/87d94fa9a03c/sensors-17-02213-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/56d0e3d93486/sensors-17-02213-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f695/5677431/62555a0662a6/sensors-17-02213-g014.jpg

相似文献

1
Variation of River Islands around a Large City along the Yangtze River from Satellite Remote Sensing Images.基于卫星遥感影像的长江某大城市周边河心洲变化研究
Sensors (Basel). 2017 Sep 27;17(10):2213. doi: 10.3390/s17102213.
2
Variations of Runoff and Sediment Load in the Middle and Lower Reaches of the Yangtze River, China (1950-2013).中国长江中下游地区径流与输沙量变化(1950 - 2013年)
PLoS One. 2016 Aug 1;11(8):e0160154. doi: 10.1371/journal.pone.0160154. eCollection 2016.
3
Determination of soil erosion risk in the Mustafakemalpasa River Basin, Turkey, using the revised universal soil loss equation, geographic information system, and remote sensing.利用修正后的通用土壤流失方程、地理信息系统和遥感技术,对土耳其 Mustafakemalpasa 河流域的土壤侵蚀风险进行了测定。
Environ Manage. 2012 Oct;50(4):679-94. doi: 10.1007/s00267-012-9904-8. Epub 2012 Jul 19.
4
[Evolution process and related driving mechanisms of Yellow River Delta since the diversion of Yellow River].[黄河改道以来黄河三角洲的演变过程及相关驱动机制]
Ying Yong Sheng Tai Xue Bao. 2011 Feb;22(2):467-72.
5
Assessing natural and anthropogenic influences on water discharge and sediment load in the Yangtze River, China.评估中国长江径流量和输沙量的自然及人为影响。
Sci Total Environ. 2017 Dec 31;607-608:920-932. doi: 10.1016/j.scitotenv.2017.07.002. Epub 2017 Jul 27.
6
Quantifying the anthropogenic and climatic contributions to changes in water discharge and sediment load into the sea: A case study of the Yangtze River, China.量化人为和气候因素对入海径流量和输沙量变化的贡献:以中国长江为例。
Sci Total Environ. 2015 Dec 1;536:803-812. doi: 10.1016/j.scitotenv.2015.07.119. Epub 2015 Aug 4.
7
[Remote Sensing Monitoring on Spatial Differentiation of Suspended Sediment Concentration in a River-Lake System Based on Sentinel-2 MSI Imaging:A Case for Shengjin Lake and Connected Yangtze River Section in Anhui Province].基于哨兵 - 2 多光谱成像仪影像的河湖水系悬浮泥沙浓度空间分异遥感监测——以安徽省升金湖及长江连通段为例
Huan Jing Ke Xue. 2020 Mar 8;41(3):1207-1216. doi: 10.13227/j.hjkx.201907164.
8
Estimation of suspended sediment concentrations using Terra MODIS: an example from the Lower Yangtze River, China.利用 Terra MODIS 估算悬浮物浓度:以中国长江下游为例。
Sci Total Environ. 2010 Feb 1;408(5):1131-8. doi: 10.1016/j.scitotenv.2009.11.057.
9
Coral reefs chronically exposed to river sediment plumes in the southwestern Caribbean: Rosario Islands, Colombia.长期暴露于加勒比海西南部河流沉积物羽流中的珊瑚礁:哥伦比亚罗萨里奥群岛。
Sci Total Environ. 2016 May 15;553:316-329. doi: 10.1016/j.scitotenv.2016.02.140. Epub 2016 Feb 28.
10
Study on shoreline migration and island dynamics over the last five decades in the Muriganga River using multi-temporal satellite images.利用多时相卫星影像研究默里甘加河近五十年的岸线迁移和岛屿动态。
Environ Monit Assess. 2024 Jan 24;196(2):199. doi: 10.1007/s10661-024-12370-2.

本文引用的文献

1
Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users.遥感作物水分管理:从蒸散模拟到服务于最终用户。
Sensors (Basel). 2017 May 11;17(5):1104. doi: 10.3390/s17051104.
2
Can water sensitive urban design systems help to preserve natural channel-forming flow regimes in an urbanised catchment?对水敏感的城市设计系统能否有助于在城市化集水区保护形成自然河道的水流形态?
Water Sci Technol. 2016;73(1):78-87. doi: 10.2166/wst.2015.464.
3
Evaluation of multi-resolution satellite sensors for assessing water quality and bottom depth of Lake Garda.
评估用于评估加尔达湖水质和湖底深度的多分辨率卫星传感器。
Sensors (Basel). 2014 Dec 15;14(12):24116-31. doi: 10.3390/s141224116.
4
Remote sensing of ecosystem health: opportunities, challenges, and future perspectives.生态系统健康的遥感:机遇、挑战与未来展望。
Sensors (Basel). 2014 Nov 7;14(11):21117-39. doi: 10.3390/s141121117.