基于高分辨率遥感影像的荆江河段南部洪道崩岸监测——以戥盘洲弯道为例

doi:10.13474/j.cnki.11-2246.2023.0276

测绘通报 ›› 2023, Vol. 0 ›› Issue (9): 124-128.doi: 10.13474/j.cnki.11-2246.2023.0276

基于高分辨率遥感影像的荆江河段南部洪道崩岸监测——以戥盘洲弯道为例

贺秋华^1,2,3, 邹娟^1,2,3, 余姝辰^1,2,3, 余德清^1,2,3, 唐晖^1,2,3, 梅金华^1,2,3, 罗建强^1,2,3, 赵动¹, 邹聪¹

1. 湖南省自然资源事务中心, 湖南长沙 410004;
2. 洞庭湖区生态环境遥感监测湖南省重点实验室, 湖南长沙 410004;
3. 自然资源部洞庭湖流域生态保护修复工程技术创新中心, 湖南长沙 410004

收稿日期:2023-04-24 发布日期:2023-10-08
通讯作者: 邹娟。E-mail:339818271@qq.com
作者简介:贺秋华(1981—),男,硕士,高级工程师,主要研究方向为生态环境遥感、自然资源与国土空间生态监测。E-mail:hn23559@126.com
基金资助:
自然资源部、湖南省自然资源厅专题性地理国情监测项目(测国土函〔2017〕37号;自然资办发[2018]12号;GJGQJC2016-04;HNGQJC2017-13;HNJCCH-2018-13);湖南省自然资源厅科技计划(No.2022-19;湘自资科20230142ST)

Monitoring of flood channel bank collapse in the southern section of the Jingjiang River based on high-resolution remote sensing images: taking the Dengpanzhou bend as an example

HE Qiuhua^1,2,3, ZOU Juan^1,2,3, YU Shuchen^1,2,3, YU Deqing^1,2,3, TANG Hui^1,2,3, MEI Jinhua^1,2,3, LUO Jianqiang^1,2,3, ZHAO Dong¹, ZOU Cong¹

1. Hunan Center of Natural Resources Affairs, Changsha 410004, China;
2. Hunan Provincial Key Laboratory of Remote Sensing Monitoring of Ecological Environment in Dongting Lake Area, Changsha 410004, China;
3. Dongting Lake Basin Ecological Protection and Restoration Engineering Technology Innovation Center, Ministry of Natural Resources, Changsha 410004, China

Received:2023-04-24 Published:2023-10-08

摘要/Abstract

摘要： 为研究长江支流崩岸情况,本文以荆江河段南部松滋河戥盘洲弯道及江心洲为例,利用高分辨率遥感影像数据,采用定量描述的方法,对其2013—2022年崩岸情况进行监测。监测结果表明,河道和江心洲都存在不同程度的崩岸,其中监测点南部河道宽度由2013年4月的203.11 m扩宽至2022年11月的287.94 m,平均每年扩宽8.5 m,每月扩宽0.74 m。5个监测点在监测期内都有不同程度的崩岸,崩岸程度最严重的监测点至河道岸边的距离从2013年4月的122.56 m缩短至2022年11月的60.13 m,平均每月缩短达0.54 m。因此,利用高分辨率遥感影像开展崩岸监测是一种非常有效的监测手段,是常规监测的有益补充;建议在开展长江主干流崩岸监测和修建防护工程的同时,应加强对长江支流河道崩岸的监测和河道防护。

关键词: 崩岸, 高分遥感影像, 荆江河段, 戥盘洲

Abstract: To study the situation of bank collapse in the Yangtze River tributary, high-resolution remote sensing image data and a quantitative description method was used to analyze the Songzi River in the southern part of the Jingjiang River section,Taking Dengpanzhou Bend and Jiangxinzhou as examples, monitoring the bank collapse situation from 2013 to 2022. Monitoring shows that there are varying degrees of bank collapses in both the river channel and the Jiangxinzhou. The width of the southern river channel at the monitoring point increased from 203.11 meters in April 2013 to 287.94 meters in November 2022,with an average annual expansion of 8.5 meters and a monthly expansion of 0.74 meters. During the monitoring period, all five monitoring points experienced varying degrees of bank collapse. The distance from the most severe monitoring point to the riverbank decreased from 122.56 meters in April 2013 to 60.13 meters in November 2022. The results indicate that using high-resolution remote sensing images for monitoring bank collapse is a very effective monitoring method and a beneficial supplement to conventional monitoring; It is recommended to strengthen the monitoring and protection of riverbank collapses in the Yangtze River tributaries while carrying out monitoring and construction of protection projects for the main stream of the Yangtze River.

Key words: bank collapse, high-resolution remote sensing images, the Jingjiang River, Dengpanzhou bend

中图分类号:

P237

贺秋华, 邹娟, 余姝辰, 余德清, 唐晖, 梅金华, 罗建强, 赵动, 邹聪. 基于高分辨率遥感影像的荆江河段南部洪道崩岸监测——以戥盘洲弯道为例[J]. 测绘通报, 2023, 0(9): 124-128.

HE Qiuhua, ZOU Juan, YU Shuchen, YU Deqing, TANG Hui, MEI Jinhua, LUO Jianqiang, ZHAO Dong, ZOU Cong. Monitoring of flood channel bank collapse in the southern section of the Jingjiang River based on high-resolution remote sensing images: taking the Dengpanzhou bend as an example[J]. Bulletin of Surveying and Mapping, 2023, 0(9): 124-128.

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基于高分辨率遥感影像的荆江河段南部洪道崩岸监测——以戥盘洲弯道为例

Monitoring of flood channel bank collapse in the southern section of the Jingjiang River based on high-resolution remote sensing images: taking the Dengpanzhou bend as an example

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