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1.
This paper presents a methodology for developing a landslide hazard zonation map by integration of global positioning system
(GPS), geographic information system (GIS), and remote sensing (RS) for Western Himalayan Kaghan Valley of Pakistan. The landslides
in the study area have been located and mapped by using GPS. Eleven causative factors such as landuse, elevation, geology,
rainfall intensity, slope inclination, soil, slope aspect, distances from main road, distances from secondary roads, and distances
from main river and those from trunk streams were analyzed for occurrence of landslides. These factors were used with a modified
form of pixel-based information value model to obtain landslide hazard zones. The matrix analysis was performed in remote
sensing to produce a landslide hazard zonation map. The causative factors with the highest effect of landslide occurrence
were landuse, rainfall intensity, distances from main road, distances from secondary roads, and distances from main river
and those from trunk streams. In conclusion, we found that landslide occurrence was only in moderate, high, or very high hazard
zones, and no landslides were in low or very low hazard zones showing 100% accuracy of our results. The landslide hazard zonation
map showed that the current main road of the valley was in the zones of high or very high hazard. Two new safe road routes
were suggested by using the GIS technology. 相似文献
2.
Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus 总被引：1，自引：0，他引：1
D. D. Alexakis A. Agapiou M. Tzouvaras K. Themistocleous K. Neocleous S. Michaelides D. G. Hadjimitsis 《Natural Hazards》2014,72(1):119-141
This study considers the impact of landslides on transportation pavements in rural road network of Cyprus using remote sensing and geographical information system (GIS) techniques. Landslides are considered to be one of the most extreme natural hazards worldwide, causing both human losses and severe damages to the transportation network. Risk assessment for monitoring a road network is based on the combination of the probability of landslides occurrence and the extent and severity of the resultant consequences should the disasters (landslides) occur. Factors that can trigger landslide episodes include proximity to active faults, geological formations, fracture zones, degree and high curvature of slopes, water conditions, etc. In this study, the reliability and vulnerability of a rural network are examined. Initially, landslide locations were identified from the interpretation of satellite images. Different geomorphological factors such as aspect, slope, distance from the watershed, lithology, distance from lineaments, topographic curvature, land use and vegetation regime derived from satellite images were selected and incorporated in GIS environment in order to develop a decision support and continuous landslide monitoring system of the area. These parameters were then used in the final landslide hazard assessment model based on the analytic hierarchy process method. The results indicated good correlation between classified high-hazard areas and field-confirmed slope failures. The CA Markov model was also used to predict the landslide hazard zonation map for 2020 and the possible future hazards for transportation pavements. The proposed methodology can be used for areas with similar physiographic conditions all over the Eastern Mediterranean region. 相似文献
3.
地统计分析在滑坡遥感监测中的研究进展 总被引：1，自引：0，他引：1
滑坡监测的常规技术方法有多种,如大地精密测量法、近景摄影测量法等,但这些技术往往会受到气候与地形的限制,实施困难较大。而遥感技术可以克服观测条件的限制,并可针对滑坡不同阶段实行监测。此外,地统计分析方法可充分利用遥感数据本身具有的空间相关性,可以提高影像信息提取的准确性。因此,结合遥感与地统计方法进行滑坡监测具有广阔的应用前景。 相似文献
4.
Abstract: Landslide research at the British Geological Survey (BGS) is carried out through a number of activities, including surveying, database development and real-time monitoring of landslides. Landslide mapping across the UK has been carried out since BGS started geological mapping in 1835. Today, BGS geologists use a combination of remote sensing and ground-based investigations to survey landslides. The development of waterproof tablet computers (BGS·SIGMAmobile), with inbuilt GPS and GIS for field data capture provides an accurate and rapid mapping methodology for field surveys. Regional and national mapping of landslides is carried out in conjunction with site-specific monitoring, using terrestrial LiDAR and differential GPS technologies, which BGS has successfully developed for this application. In addition to surface monitoring, BGS is currently developing geophysical ground-imaging systems for landslide monitoring, which provide real-time information on subsurface changes prior to failure events. BGS’s mapping and monitoring activities directly feed into the BGS National Landslide Database, the most extensive source of information on landslides in Great Britain. It currently holds over 14?000 records of landslide events. By combining BGS’s corporate datasets with expert knowledge, BGS has developed a landslide hazard assessment tool, GeoSure, which provides information on the relative landslide hazard susceptibility at national scale. 相似文献
5.
多源遥感数据支持下区域滑坡灾害风险评价 总被引：1，自引：0，他引：1
滑坡风险管理是防灾减灾的有效途径之一,而灾害风险评价是风险管理的基础和依据。以三峡库首区为研究区、多源遥感影像为主要数据源,利用立体像对技术及光谱分析等方法快速提取地形地貌、地表覆被、地质及水文条件等滑坡孕灾环境信息,应用随机森林模型分析区域滑坡危险性;采用面向对象方法建立典型承灾体识别规则,快速提取建筑物及交通道路等信息,综合分析滑坡危险性及承灾体信息,以实现区域滑坡灾害风险评价。结果显示:高风险区面积为41 km2,约占研究区面积的9%,主要集中于人口聚集的城镇和交通建设用地等经济价值大的地区。其评价结果与野外实地调查情况基本吻合。 相似文献
6.
2010年4月14日07时49分(北京时间),青海省玉树县发生了Ms7.1级大地震。作者基于高分辨率遥感影像解译与现场调查验证的方法,圈定了2036处本次地震诱发滑坡。这些滑坡受地震地表破裂控制强烈,规模相对较小,常常密集成片分布。滑坡类型多样,以崩塌型滑坡为主,还包括滑动型、流滑型、碎屑流型、复合型等类型的滑坡。本文基于地理信息系统(GIS)与遥感(RS)技术,应用逻辑回归模型开展玉树地震滑坡危险性评价,并对结果合理性进行检验。应用GIS技术建立玉树地震滑坡灾害及相关滑坡影响因子空间数据库,选择高程、斜坡坡度、斜坡坡向、斜坡曲率、与水系距离、坡位、断裂、地层岩性、归一化植被指数(NDVI)、公路、同震地表破裂、地震动峰值加速度(PGA)共12个因子作为玉树地震滑坡影响因子,在GIS平台下将这些因子专题图层栅格化。应用逻辑回归模型得到每个因子分级的回归系数,然后建立滑坡危险性指数分布图。利用玉树地震滑坡空间分布图对滑坡危险性指数图进行检验,正确率达到83.21%。滑坡危险性分级结果表明,在占研究区总面积4.97%的"很高危险度"的较小范围内,实际发育滑坡数量为766个,占总滑坡面积的比例高达37.62%,表明地震滑坡危险性评价结果良好。不同危险性级别的滑坡点密度统计结果表明,滑坡点密度随着危险性级别的升高而非常迅速的升高。 相似文献
7.
Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan 总被引：1，自引：0，他引：1
Darya Golovko Sigrid Roessner Robert Behling Birgit Kleinschmit 《Natural Hazards》2017,85(3):1461-1488
The study area located in southern Kyrgyzstan is affected by high and ongoing landslide activity. To characterize this activity, a multi-temporal landslide inventory containing over 2800 landslide polygons was generated from multiple data sources. The latter include the results of automated landslide detection from multi-temporal satellite imagery. The polygonal representation of the landslides allows for characterization of the landslide geometry and determination of further landslide attributes in a way that accounts for the diversity of conditions within the landslide, e.g., at the landslide main scarp opposed to its toe. To perform such analyses, a methodology for efficient geographic information system (GIS)-based attribute derivation was developed, which includes both standard and customized GIS tools. We derived a number of landslide attributes, including area, length, compactness, slope, aspect, distance to stream and geology. The distributions of these attributes were analyzed to obtain a better understanding of landslide properties in the study area as a preliminary step for probabilistic landslide hazard assessment. The obtained spatial and temporal attribute variations were linked to differences in the environmental characteristics within the study area, in which the geological setting proved to be the most important differentiating factor. Moreover, a significant influence of the different data sources on the distribution of the landslide attribute values was found, indicating the importance of a critical evaluation of the landslide data to be used in landslide hazard assessments. 相似文献
8.
地质灾害危险性评价是防灾减灾工作的重要依据。本文以汶川县城周边64 km2为例,应用遥感信息提取技术与GIS空间分析方法,根据IKONOS遥感图像和地形图及野外调查资料,提取了崩塌和滑坡易发性评价因子,采用信息量法确定了因子分值,计算了崩塌和滑坡易发性,并分别提出崩塌和滑坡的危险性计算方法,形成了汶川地区崩塌和滑坡危险性分区图。研究结果表明:新的崩塌和滑坡危险性评价方法能够反映区内地质灾害危险程度,该方法可行,结果合理,这为中、大比例尺区域范围内地质灾害危险性研究提供了有益的思路。 相似文献
9.
数字滑坡技术及其应用 总被引：26，自引：5，他引：21
“数字滑坡”技术,就是以遥感（RS）和空间定位方法为主,结合其他勘探、试验、调查手段获取数字形式的、与地理坐标配准的滑坡基本信息;并利用GIS技术存贮和管理这些数字信息;在此基础上,根据滑坡地学原理进行空间分析,研制各类模型,并服务于滑坡调查、监测、研究、滑坡灾害评价、危险预测、灾情评估、滑坡防治等。通过金龙山三维数字模型,卫星监测易贡滑坡、三峡库区重点城镇滑坡及千将坪滑坡等地的遥感调查说明数字滑坡技术的实际应用。 相似文献
10.
H. B. Havenith I. Torgoev A. Meleshko Y. Alioshin A. Torgoev G. Danneels 《Landslides》2006,3(2):137-147
Mailuu-Suu is a former uranium mining area in Kyrgyzstan (Central Asia) at the northern border of the Fergana Basin. This region is particularly prone to landslide hazards and, during the last 50 years, has experienced severe landslide disasters in the vicinity of numerous nuclear waste tailing dams. Due to its critical situation, the Mailuu-Suu region was and still is the target area for several risk assessment projects. This paper provides a brief review of previous studies, past landslide events and a discussion on possible future risk scenarios. Various aspects of landslide hazard and related impacts in the Mailuu-Suu Valley are analyzed in detail: landslide susceptibility, historical evolution of landslide activity, size-frequency relationship, river damming and flooding as well as impacts on inhabited areas and nuclear waste storage zones. The study was carried out with standard remote sensing tools for the processing of satellite imagery and the construction of digital elevation models (DEMs). The processed inputs were combined on a GIS platform with digital landslide distribution maps of 1962, 1977, and 2003, digitized geological and geographic maps, and information from landslide monitoring and geophysical investigation.As a result, various types of landslide susceptibility maps based on conditional analysis (CA) are presented as well as predictions of future landslide activity and related damming potential and their possible impact on the population. For some risk scenarios, remediation and prevention measures are suggested. 相似文献
11.
Use of satellite remote sensing data in the mapping of global landslide susceptibility 总被引：2，自引：4，他引：2
Satellite remote sensing data has significant potential use in analysis of natural hazards such as landslides. Relying on
the recent advances in satellite remote sensing and geographic information system (GIS) techniques, this paper aims to map
landslide susceptibility over most of the globe using a GIS-based weighted linear combination method. First, six relevant
landslide-controlling factors are derived from geospatial remote sensing data and coded into a GIS system. Next, continuous
susceptibility values from low to high are assigned to each of the six factors. Second, a continuous scale of a global landslide
susceptibility index is derived using GIS weighted linear combination based on each factor’s relative significance to the
process of landslide occurrence (e.g., slope is the most important factor, soil types and soil texture are also primary-level
parameters, while elevation, land cover types, and drainage density are secondary in importance). Finally, the continuous
index map is further classified into six susceptibility categories. Results show the hot spots of landslide-prone regions
include the Pacific Rim, the Himalayas and South Asia, Rocky Mountains, Appalachian Mountains, Alps, and parts of the Middle
East and Africa. India, China, Nepal, Japan, the USA, and Peru are shown to have landslide-prone areas. This first-cut global
landslide susceptibility map forms a starting point to provide a global view of landslide risks and may be used in conjunction
with satellite-based precipitation information to potentially detect areas with significant landslide potential due to heavy
rainfall. 相似文献
12.
Chong Xu Xiwei Xu Fuchu Dai Zhide Wu Honglin He Feng Shi Xiyan Wu Suning Xu 《Natural Hazards》2013,68(2):883-900
The main purpose of this paper is to present the use of multi-resource remote sensing data, an incomplete landslide inventory, GIS technique and logistic regression model for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China. Landslide location polygons were delineated from visual interpretation of aerial photographs, satellite images in high resolutions, and verified by selecting field investigations. Eight factors, including slope angle, slope aspect, elevation, distance from drainages, distance from roads, distance from main faults, seismic intensity and lithology were selected as controlling factors for earthquake-triggered landslide susceptibility mapping. Qualitative susceptibility analyses were carried out using the map overlaying techniques in GIS platform. The validation result showed a success rate of 82.751 % between the susceptibility probability index map and the location of the initial landslide inventory. The predictive rate of 86.930 % was obtained by comparing the additional landslide polygons and the landslide susceptibility probability index map. Both the success rate and the predictive rate show sufficient agreement between the landslide susceptibility map and the existing landslide data, and good predictive power for spatial prediction of the earthquake-triggered landslides. 相似文献
13.
利用光学遥感数据、GIS及人工神经网络模型分析区域滑坡灾害(英文) 总被引：3，自引：0，他引：3
Biswajeet Pradhan Saro Lee 《地学前缘》2007,14(6):143-152
用光学遥感数据和地理信息系统(GIS)分析了马来西亚Selangor地区的滑坡灾害。通过遥感图像解译和野外调查,在研究区内确定出滑坡发生区。通过GIS和图像处理,建立了一个集地形、地质和遥感图像等多种信息的空间数据库。滑坡发生的因素主要为:地形坡度、地形方位、地形曲率及与排水设备距离;岩性及与线性构造距离;TM图像解译得到的植被覆盖情况;Landsat图像解译得到的植被指数;降水量。通过建立人工神经网络模型对这些因素进行分析后得到滑坡灾害图:由反向传播训练方法确定每个因素的权重值,然后用该权重值计算出滑坡灾害指数,最后用GIS工具生成滑坡灾害图。用遥感解译和野外观测确定出的滑坡位置资料验证了滑坡灾害图,准确率为82.92%。结果表明推测的滑坡灾害图与滑坡实际发生区域足够吻合。 相似文献
14.
在国家高速公路G56杭州至瑞丽公路宣威-曲靖段前期选线研究中,以日本ALOS卫星遥感图像为主要信息源,对其进行遥感数据处理。依据遥感解译结果,结合野外调查验证资料,对宣威-曲靖段进行了工程地质区划分与评价,确定地质灾害较易发区：滑坡区、地表岩溶塌陷区、隐伏岩溶区、煤矿采空塌陷区;依据公路工程评价因素,将工程区划分为4个工程地质区、9个工程地质亚区。通过对线路走廊带及主要工点工程地质条件的评价,对工程设计推荐线与三段局部比较线（C、D、E）方案进行优选,最终确定了在推存线方案中可考虑采用C、E局部方案的理想线路。 相似文献
15.
Landslide hazard zonation in high risk areas of Rethymno Prefecture,Crete Island,Greece 总被引：4，自引：1，他引：3
Maria Kouli Constantinos Loupasakis Pantelis Soupios Filippos Vallianatos 《Natural Hazards》2010,52(3):599-621
The central part of Rethymnon Prefecture, Crete Island, suffers from severe landslide phenomena because of its geological
and geomorphological settings alternated by the human activities. The main landslide preparatory and triggering causal factors
are considered to be the ground conditions (lithology), geomorphological processes (fluvial erosion, etc.), and the man-made
actions (excavations, loading etc.). The purpose of this study is to develop a decision support and continuous monitoring
system of the area by composing landslide hazard and risk maps. For that reason, several approaches of the weighted linear
combination (WLC), a semi-quantitative hazard analysis method, were adopted in a Geographic Information Systems (GIS) environment.
The results were validated using a pre-existing landslide database enriched with new landslide locations mapped through image
interpretation of a processed IKONOS satellite image. The validation results showed that the WLC method coupled with remote
sensing (RS) and GIS techniques can support engineering geological studies concerning landslide vulnerability of hazardous
areas. 相似文献
16.
在研究分析地震灾区地形地貌、地层岩性、地质构造、气象水文和典型地区滑坡的基础上,采用Newmark斜坡累积位移模型对2015年4月25日尼泊尔M_s8.1级地震诱发的滑坡危险性的空间分布状况进行了快速评估,通过典型地区的滑坡遥感解译结果验证表明评估结果具有较好的可信度,初步反映了尼泊尔地震诱发滑坡危险性分布的基本特征。然后考虑降雨作用对震后滑坡危险性的影响,对地震叠加降雨诱发滑坡危险性分布进行了快速预测。研究结果对地震应急救灾中的地质灾害防灾减灾具有重要的参考意义。 相似文献
17.
地理信息系统在滑坡灾害研究中的应用 总被引：35，自引：2，他引：33
对地理信息系统 ( GIS)技术在滑坡研究中的应用现状作了分析 ,并介绍了笔者在该方面的一些研究成果 ,认为只有在数据获取、GIS与滑坡专业模型的集成、GIS与遥感的集成等方面有较大的突破之后 ,才能充分发挥 GIS在滑坡研究中的作用。 相似文献
18.
Probabilistic landslide susceptibility and factor effect analysis 总被引：18，自引：0，他引：18
The susceptibility of landslides and the effect of landslide-related factors at Penang in Malaysia using the geographic information system (GIS) and remote sensing data have been evaluated. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence were: topographic slope, topographic aspect, topographic curvature and distance from drainage, all from the topographic database; lithology and distance from lineament, taken from the geologic database; land use from Landsat Thermatic Mapper (TM) satellite images; and the vegetation index value from SPOT HRV (High-Resolution Visible) satellite images. Landslide hazardous areas were analyzed and mapped using the landslide-occurrence factors employing the probability–frequency ratio method using the all factors. To assess the effect of these factors, each factor was excluded from the analysis, and its effect verified using the landslide location data. As a result, all factors had relatively positive effects, except lithology, on the landslide susceptibility maps in the study area. 相似文献
19.
我国是世界上受滑坡影响最大的国家之一,也投入了大量的人力物力开展区域性滑坡隐患探测工作.近年的政府工作表明,80%的滑坡发生在已圈定的隐患点范围外,80%的滑坡发生在防灾减灾工作条件相对薄弱的边远农村地区.为了解决这个困境,亟需:（1）厘清不同类型滑坡宜选用的广域探测技术,解决滑坡隐患广域探测的漏检问题;（2）突破社区协同滑坡防灾的难题,助力滑坡隐患探测和风险评估.本文将滑坡隐患分为4类:斜坡变形区、复活历史变形破坏区、稳定历史变形破坏区和潜在斜坡变形区,以便充分发挥多源遥感数据和技术的优势;进而提出一种“滑坡隐患广域探测-单体滑坡隐患风险评估-社区协同防灾”的多源遥感滑坡防灾技术框架.以青藏高原交通工程关键区段约10 000 km2区域作为研究区,协同社区（如设计和建设单位）共识别出滑坡隐患263处,其中斜坡变形区249处,复活历史变形破坏区5处,稳定历史变形破坏区9处,并针对3个典型滑坡隐患进行风险定量评估和社区协同防灾.该多源遥感技术框架将有助于提高社区滑坡防灾的能力,也将直接服务于青藏高原交通工程的建设与运维. 相似文献