Enhancing landslide inventory mapping through Multi-SAR image analysis: a comprehensive examination of current landslide zones

IF 1.4 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
Fatih Kadi, Ekrem Saralioglu
{"title":"Enhancing landslide inventory mapping through Multi-SAR image analysis: a comprehensive examination of current landslide zones","authors":"Fatih Kadi, Ekrem Saralioglu","doi":"10.1007/s40328-024-00450-1","DOIUrl":null,"url":null,"abstract":"<p>Landslide inventory maps (LIMs) are a map type that provides information to the user about the landslides. The high accuracy of this map enables outputs derived from it to be produced more realistically and accurately. LIMs are generally produced by the requests from the user, taking into account the regions where access is easy, where settlements are located and using traditional techniques. LIMs produced for areas where access is limited or settlements are absent generally have distant, low accuracy, and unreliable data because landslides in these regions are often not considered. This study aims to investigate the landslides using multi-temporal SAR imagery and to develop a methodology to improve the LIM by new landslides. The results show that the velocities of PS points falling on the landslides are between − 11.2 and 14.9 mm/y. Then, the regions defined as possible landslides were identified by analyzing the velocity model produced with the help of the kriging interpolation. The potential landslides overlapped with those recorded by public institutions and organizations, and eight new landslides consisting of approximately 8.32 km<sup>2</sup> were identified. Finally, these new landslides were examined regarding slope degree and soil groups by overlapping with land use capability maps. Results indicated that all new landslides were located in landslide-prone areas. The detection of new landslides and monitoring of landslides were carried out in a practical, highly accurate, and cost-effective manner using the developed methodology.</p>","PeriodicalId":48965,"journal":{"name":"Acta Geodaetica et Geophysica","volume":"112 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geodaetica et Geophysica","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s40328-024-00450-1","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Landslide inventory maps (LIMs) are a map type that provides information to the user about the landslides. The high accuracy of this map enables outputs derived from it to be produced more realistically and accurately. LIMs are generally produced by the requests from the user, taking into account the regions where access is easy, where settlements are located and using traditional techniques. LIMs produced for areas where access is limited or settlements are absent generally have distant, low accuracy, and unreliable data because landslides in these regions are often not considered. This study aims to investigate the landslides using multi-temporal SAR imagery and to develop a methodology to improve the LIM by new landslides. The results show that the velocities of PS points falling on the landslides are between − 11.2 and 14.9 mm/y. Then, the regions defined as possible landslides were identified by analyzing the velocity model produced with the help of the kriging interpolation. The potential landslides overlapped with those recorded by public institutions and organizations, and eight new landslides consisting of approximately 8.32 km2 were identified. Finally, these new landslides were examined regarding slope degree and soil groups by overlapping with land use capability maps. Results indicated that all new landslides were located in landslide-prone areas. The detection of new landslides and monitoring of landslides were carried out in a practical, highly accurate, and cost-effective manner using the developed methodology.

Abstract Image

通过多合成孔径雷达图像分析加强滑坡清查制图:对当前滑坡带的全面检查
滑坡清单地图(LIM)是一种向用户提供滑坡信息的地图类型。这种地图的高精度使其产生的输出结果更加真实和准确。一般来说,LIM 是根据用户的要求制作的,其中考虑到了交通便利的地区、居民点所在的地区,并采用了传统技术。为交通不便或没有居民点的地区制作的 LIM 通常数据遥远、精度低且不可靠,因为这些地区的山体滑坡往往未被考虑在内。本研究旨在利用多时相合成孔径雷达图像对滑坡进行调查,并开发一种方法,通过新的滑坡来改进 LIM。结果表明,落在滑坡上的 PS 点的速度介于 - 11.2 和 14.9 mm/y 之间。然后,通过分析克里格插值法生成的速度模型,确定了可能发生滑坡的区域。这些可能的滑坡与公共机构和组织记录的滑坡重叠,并确定了 8 个新的滑坡,面积约为 8.32 平方公里。最后,通过与土地利用能力图重叠,对这些新滑坡的坡度和土壤类别进行了检查。结果表明,所有新滑坡都位于滑坡易发区。利用所开发的方法,新滑坡的探测和滑坡的监测工作以实用、高精度和低成本的方式进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Acta Geodaetica et Geophysica
Acta Geodaetica et Geophysica GEOCHEMISTRY & GEOPHYSICS-
CiteScore
3.10
自引率
7.10%
发文量
26
期刊介绍: The journal publishes original research papers in the field of geodesy and geophysics under headings: aeronomy and space physics, electromagnetic studies, geodesy and gravimetry, geodynamics, geomathematics, rock physics, seismology, solid earth physics, history. Papers dealing with problems of the Carpathian region and its surroundings are preferred. Similarly, papers on topics traditionally covered by Hungarian geodesists and geophysicists (e.g. robust estimations, geoid, EM properties of the Earth’s crust, geomagnetic pulsations and seismological risk) are especially welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信