Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

山崩 地质学 滑坡分类 地貌学 高原(数学) 支流 中国 自然地理学 遥感 地理 水文学(农业) 地图学 考古 岩土工程 数学分析 数学
作者
Qinxia Wang,Chong Xu,Jixiang Xu
出处
期刊:Transactions in Gis [Wiley]
标识
DOI:10.1111/tgis.13281
摘要

ABSTRACT The upper reaches of the Yellow River, located at the northeastern edge of the Qinghai‐Tibet Plateau in China, are characterized by intense tectonic activity and widespread landslide geomorphology. Creating a detailed and objective map of landslide geomorphology in this region is crucial for understanding the development of landslides. However, the availability of high‐quality landslide inventories in this area is limited, hindering a comprehensive understanding of landslide development and scientific landslide disaster prevention efforts. This study utilized multi‐temporal high‐resolution remote sensing imagery provided by the Google Earth platform to conduct a thorough landslide geomorphology survey and inventory construction in Minhe County, located in the upper Yellow River. The results show that within the study area of 1890.82 km 2 , at least 5517 landslide geomorphologies were identified, covering an area of 434.43 km 2 , with landslide‐affected areas accounting for approximately 22.98% of the total area. The largest single landslide area is 1.62 × 10 6 m 2 , while the smallest single landslide area is 880.22 m 2 , with an average landslide area of 78743.04 m 2 . The highest landslide point density reached 11.5 km −2 . More than 80% of the landslides were distributed in the townships of Qianhe, Zhongchuan, Guanting, and Bazhou. Landslides were predominantly distributed along the tributaries of the Huangshui and Yellow Rivers, with denser occurrences at river bends. In addition, some landslide geomorphologies are located in densely populated village areas, posing significant safety risks. These results provide valuable data support for further analysis of landslide spatial distribution in Minhe County, landslide risk assessment, and other related research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
852应助害羞傲薇采纳,获得10
刚刚
搞怪人杰完成签到,获得积分10
1秒前
合适怜南完成签到,获得积分10
1秒前
Whale完成签到,获得积分10
2秒前
2秒前
3秒前
三金完成签到,获得积分10
3秒前
4秒前
xdl120318完成签到,获得积分20
5秒前
小二郎应助Luna采纳,获得10
6秒前
xdl120318发布了新的文献求助10
7秒前
科研通AI5应助QinGY采纳,获得10
7秒前
7秒前
谦让雨珍发布了新的文献求助10
8秒前
17835152738完成签到,获得积分10
8秒前
吃紫薯的鱼完成签到,获得积分10
9秒前
Gladys完成签到,获得积分10
9秒前
吴语旭发布了新的文献求助10
9秒前
细心可乐完成签到 ,获得积分10
10秒前
医只兔发布了新的文献求助10
11秒前
xuxu完成签到,获得积分10
12秒前
科研通AI5应助nancy采纳,获得10
12秒前
科研通AI2S应助li采纳,获得30
13秒前
哆啦顺利毕业完成签到 ,获得积分10
13秒前
狂野砖头完成签到 ,获得积分10
14秒前
万能图书馆应助fine采纳,获得10
14秒前
zehua309完成签到,获得积分10
14秒前
ECT完成签到,获得积分10
15秒前
害羞傲薇完成签到,获得积分10
16秒前
16秒前
17秒前
gao完成签到 ,获得积分10
17秒前
17秒前
bibgyueli完成签到,获得积分10
18秒前
小蘑菇应助洋芋锅巴采纳,获得10
19秒前
HHHWJ完成签到 ,获得积分10
19秒前
21秒前
21秒前
温暖涫完成签到 ,获得积分10
22秒前
子车雁开发布了新的文献求助10
22秒前
高分求助中
Introduction to Strong Mixing Conditions Volumes 1-3 500
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
Optical and electric properties of monocrystalline synthetic diamond irradiated by neutrons 320
共融服務學習指南 300
Essentials of Pharmacoeconomics: Health Economics and Outcomes Research 3rd Edition. by Karen Rascati 300
Peking Blues // Liao San 300
E-commerce live streaming impact analysis based on stimulus-organism response theory 260
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3801238
求助须知:如何正确求助?哪些是违规求助? 3346865
关于积分的说明 10330869
捐赠科研通 3063228
什么是DOI,文献DOI怎么找? 1681450
邀请新用户注册赠送积分活动 807600
科研通“疑难数据库(出版商)”最低求助积分说明 763743