[1]王 斌,周立鹏,李 琴.顾及InSAR形变特征的斜坡灾害隐患早期识别遥感方法[J].华南地震,2023,(01):105-110.[doi:10.13512/j.hndz.2023.01.13]
 WANG Bin,ZHOU Lipeng,LI Qin.Remote Sensing Method for Early Identification of Slope Hazards Considering InSAR Deformation Characteristics[J].,2023,(01):105-110.[doi:10.13512/j.hndz.2023.01.13]
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顾及InSAR形变特征的斜坡灾害隐患早期识别遥感方法()
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华南地震[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年01期
页码:
105-110
栏目:
地震与地质灾害
出版日期:
2023-03-20

文章信息/Info

Title:
Remote Sensing Method for Early Identification of Slope Hazards Considering InSAR Deformation Characteristics
文章编号:
1001-8662(2023)01-0105-06
作者:
王 斌123周立鹏1李 琴1
1.广东省国土资源测绘院,广州 510663;2.自然资源部华南亚热带自然资源监测重点实验室,广州 510663;3.广东省自然资源科技协同创新中心,广州 510663
Author(s):
WANG Bin123ZHOU Lipeng1LI Qin1
1.Surveying and Mapping Institute , Lands and Resource Department of Guangdong Province , Guangzhou 510663, China;2.Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources , Guangzhou 510663, China;3.Guangdong Science and Technology Collaborative Innovation Center for Natural Resources , Guangzhou 510663, China
关键词:
合成孔径雷达地质灾害光学遥感干涉测量
Keywords:
Synthetic Aperture RadarGeological hazardOptical remote sensingInterferometry
分类号:
P642.22
DOI:
10.13512/j.hndz.2023.01.13
文献标志码:
A
摘要:
广东省2020年在册地质灾害隐患点4744处,威胁24.95万人,但近年发生多起重大地质灾害并不在已发现的隐患点库内,全面识别排查潜在隐患仍是当前和今后一段时期防灾减灾重要任务之一。合成孔径雷达干涉测量区域范围大、形变反演灵敏度高,可以弥补传统地面调查及光学遥感技术不足。研究以广州黄埔区为例,采用2019年1月至2022年4月Sentinel-1A长时序雷达数据,综合利用SBAS-InSAR时序形变信息结合地形级实景三维模型解译风险斜坡,识别出研究区崩滑流斜坡变形潜在隐患风险84处,抽取15%比例开展外业调查5处具有显著形变的滑坡崩塌风险,证明该方法具有可行性,并对综合遥感识别地质灾害提出建议。
Abstract:
In 2020,Guangdong Province had registered 4744 hidden geological disaster points,threatening 249 500 people. However,many major geological disasters occurred in recent years are not in the hidden danger point database that has been discovered. Comprehensive identification and investigation of potential hidden dangers is still one of the important tasks of disaster prevention and mitigation at present. Synthetic aperture radar interferometry has a large area and high sensitivity of deformation inversion, which can make up for the shortcomings of traditional ground survey and optical remote sensing technology. Taking Huangpu District, Guangzhou as an example,based on Sentinel-1A long-term radar data from January 2019 to April 2022,the study comprehensively uses SBAS-InSAR time-series deformation information by combining with terrain-level real 3D models to interpret risk slopes. 84 potential hidden risks of collapse and landslide slope deformation in the study area are identified,15% of which are selected to carry out field investigation,and 5 landslide collapse risks with significant deformation are found, which proves the feasibility of this method and puts forward suggestions for comprehensive remote sensing identification of geological disasters.

参考文献/References:

[1]潘懋,李铁锋.灾害地质学[M].北京:北京大学出版社, 2012.
[2]许强.对地质灾害隐患早期识别相关问题的认识与思考[J]. 武汉大学学报(信息科学版),2020,45(11):1651-1659.
[3]广东省自然资源厅. 广东省自然资源厅关于印发《广东省地质灾害防治“十四五”规划》的通知[EB/OL].(2022-06-01)[2022-07-10]. http://nr.gd.gov.cn/zwgknew/zcfg/flfg/df/content/post_3944903.html.
[4]葛大庆.地质灾害早期识别与监测预警中的综合遥感应用[J].城市与减灾,2018(06):53-60.
[5]吴森,陈超,邓晶,等.无人机倾斜摄影技术在城市化建设中地质灾害早期识别应用[J]. 四川地质学报,2019,39 (04):629-633.
[6]贾虎军,王立娟,范冬丽.无人机载LiDAR和倾斜摄影技术在地质灾害隐患早期识别中的应用[J].中国地质灾害与防治学报,2021,32(02):60-65.
[7]张勤,赵超英,陈雪蓉.多源遥感地质灾害早期识别技术进展与发展趋势[J].测绘学报,2022,51(06):885-896.
[8]许强,董秀军,李为乐.基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J].武汉大学学报(信息科学版),2019,44(07):957-966.
[9]陆会燕,李为乐,许强,等.光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别[J].武汉大学学报(信息科学版),2019,44(09):1342-1354.
[10]罗莉,王斌.应用StaMPS-PS监测惠州地表沉降时空演化[J].华南地震,2021,41(01):102-107.
[11]崔阳,魏莹莹,魏国振,等.基于INSAR的地质灾害隐患早期识别技术研究[J].工程技术研究,2020,5(05):51-52.
[12]刘星洪,姚鑫,於开炳,等.川藏高速巴塘—芒康段地质灾害遥感综合早期识别研究[J].工程科学与技术,2020, 52(06):49-60.
[13]冯志远,乃尉华.地质灾害遥感影像早期识别标志[J].世界有色金属,2018(05):203-204.
[14]廖军,吴彩燕,王立娟,等.基于时序InSAR的滑坡早期识别——以贵州省水城县为例[J].自然灾害学报,2022, 31(03):251-260.
[15]陈思名,霍艾迪,张佳,等.基于InSAR的宁夏黄土丘陵区(西吉县)滑坡隐患早期识别[J].科学技术与工程, 2022,22(12):4721-4728.
[16]李媛茜,张毅,苏晓军,等.白龙江流域潜在滑坡InSAR识别与发育特征研究[J].遥感学报,2021,25(02):677-690.
[17]郭海京,郑庆章,王斌. StaMPS技术在区域地表沉降形变监测中的应用[J].地理空间信息,2021,19(10):60-67.
[18]赵富萌,张毅,孟兴民,等.基于小基线集雷达干涉测量的中巴公路盖孜河谷地质灾害早期识别[J].水文地质工程地质,2020,47(1):142-153.

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备注/Memo

备注/Memo:
收稿日期:2022-07-10
基金项目:广东省省级科技计划项目(2021B1111610001);广东省科技计划项目(2021B1212100003);广东省自然资源厅科技项目(GDZRZYKJ2022008)联合资助。
作者简介:王斌(1986-),男,硕士,主要从事摄影测量与遥感研究等工作。E-mail: 547539038@qq.com
通信作者:李琴(1991-),女,硕士,主要从事地理空间数据分析与遥感应用研究。E-mail:13618570901@163.com

更新日期/Last Update: 2023-03-20