[1]黄友菊,韦强,罗恒,等.基于SAR影像的广西东北地区2022年“龙舟水”洪涝智能监测[J].气象研究与应用,2023,44(01):94-100.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.16]
　Huang Youju,Wei Qiang,Luo Heng,et al.Intelligent monitoring of flooding of a dragon-boat precipitation process in northeast Guangxi in 2022 based on SAR images[J].Journal of Meteorological Research and Application,2023,44(01):94-100.[doi:10.19849/j.cnki.CN45-1356/P.2023.1.16]
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基于SAR影像的广西东北地区2022年“龙舟水”洪涝智能监测()
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气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第44卷
期数:
2023年01期
页码:
94-100
栏目:
龙舟水专刊
出版日期:
2023-03-15

文章信息/Info

Title:
Intelligent monitoring of flooding of a dragon-boat precipitation process in northeast Guangxi in 2022 based on SAR images
作者:
黄友菊;  韦强;  罗恒;  农志铣;  聂娜
广西壮族自治区自然资源遥感院, 南宁 530022
Author(s):
Huang Youju;  Wei Qiang;  Luo Heng;  Nong Zhixian;  Nie Na
Institute of Guangxi Natural Resources Remote Sensing, Nanning 530022, China
关键词:
暴雨灾害; SAR卫星; 洪涝监测; 水体识别; 深度学习
Keywords:
heavy rainfall disasters; SAR satellites; flood monitoring; water body identification; deep learning
分类号:
P426.616
DOI:
10.19849/j.cnki.CN45-1356/P.2023.1.16
摘要:
2022年"龙舟水"来势凶猛,广西东北部持续遭遇暴雨,桂林市及周边县发生严重洪涝灾害。本文基于哨兵一号和高分三号SAR卫星数据对广西东北地区采用深度学习的人工智能方法提取水体范围,并结合光学影像和农田、道路等矢量数据对洪涝区域淹没的地物进行监测分析与评估。结果表明,研究区水体新增面积约91.33km2,受本次"龙舟水"影响较大的县区为临桂、灵川等;监测结果显示"龙舟水"降雨造成了道路积水阻断、农田受淹以及河流和水库的水位上涨,验证了SAR卫星在洪涝监测中的作用和应用前景,表明基于SAR数据开展洪涝智能监测的可行性。
Abstract:
The strong dragon-boat precipitation in 2022 continued to hit northeastern Guangxi, causing severe flooding in Guilin and its surrounding counties. Based on the Sentinel-1 and Gaofen-3 SAR satellite data, this paper uses deep learning artificial intelligence method to extract the water body range in northeast Guangxi, and combines optical images and data of farmland and roads to monitor and evaluate the submerged features in the flood area, and calculate the changes of the water body area and inundation of roads and crops in each county in the study area. The results show that the increased area of water bodies in the study region is about 91.33km2, and the counties affected by the dragon-boat precipitation are Lingui, Lingchuan, and so on. The results show that the dragon-boat precipitation caused the blockage of roads, the inundation of farmland, and the rise of water levels in rivers and reservoirs, verifying the role and application prospects of SAR satellites in flood monitoring and demonstrating the feasibility of intelligent flood monitoring based on SAR data.

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相似文献/References:

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备注/Memo

备注/Memo:
收稿日期:2022-11-25。
基金项目:广西重点研究计划项目(桂科AB22080080)、高分专项(84-Y50G25-9001-22/23)
作者简介:黄友菊(1980-),女,高级工程师,主要从事遥感技术研发与应用工作。E-mail:huangyoujurs@163.com
通讯作者:韦强(1993-),男,工程师,主要从事合成孔径雷达应用研究工作。E-mail:weiqiang_919@163.com
更新日期/Last Update: 1900-01-01