{"title":"A hazard assessment of secondary disasters after earthquake in Wenchuan","authors":"Wei Yang, Zhong Zheng, Wen-Hui Zhao","doi":"10.1109/Geoinformatics.2012.6270342","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270342","url":null,"abstract":"Wenchuan Earthquake triggered a lot of secondary disasters including landslide, collapse and mud-rock flow which have brought enormous difficulties on traffic, communications, and hydropower projects. As aftershocks will be last for a long time, the risk assessment of secondary disasters plays an important role for disaster prevention and mitigation. The remote sensing images of China-Brazil Earth Resource Satellite (CBERS) with geological map, soil map and chart of vegetation coverage were used to distinguish the potential dangerous regions in Wenchuan County and assess the risk degree of secondary disasters. The results show that high possibility risk areas are located in the tall mountains and river valley from northeast to southeast around Yingxiu, Weizhou, Miansi, Yinxing, Gengda and Xuankou Town.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114177279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chao Li, Zhongying Zhao, Shuguang Liu, Ling Yin, Jun Luo
{"title":"Relationships between geographical cluster and cyberspace community: A case study on microblog","authors":"Chao Li, Zhongying Zhao, Shuguang Liu, Ling Yin, Jun Luo","doi":"10.1109/Geoinformatics.2012.6270315","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270315","url":null,"abstract":"As a major online interactive platform, microblogs have accumulated numerous data about people's interactive behaviors, which have attracted many researchers to study these data. However, the existing studies mainly focus on the community structure detection or information propagation from the conventional perspective of social network analysis. Few studies have investigated the relationships between people's online social behaviors and their geographical location information over Social Media. In this paper, we aim to analyze the relationships between people's online social activities and their geographical locations in Tencent-Microblog. We first make a statistical summary on different geographical locations and the number of users at each location. We find that the frequency distribution of the number of recorded locations from an individual follows a power law. Considering each individual's posting frequency and staying time on a certain location, we define a main location of an individual. In order to study the relations between communities and location clusters, we propose the index of location entropy to measure the degree of dispersion of the locations in each community, and the index of community entropy to measure the degree of dispersion of the communities in each location cluster. More importantly these two indexes can potentially help measure the influential power for the topic community and monitor the active degree of people's online social behavior in a location cluster.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116972734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data mining and visualization research of check-in data","authors":"Ming Wang, Longkun Qin, Qingwu Hu","doi":"10.1109/Geoinformatics.2012.6270328","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270328","url":null,"abstract":"Crowd sourcing geographic data, which is contributed by lots of non-professionals and provided to the public, is an open source geographic data with characteristics of large data volume, high currency, abundance information and low cost. As a kind of crowd sourcing geographic data, check-in data contains multitudes of social attribute data and becomes a research hotspot of international geographic information science in the recent years. Take check-in data of Jiepang for instance, this paper studies spatiotemporal visualization method of check-in data, proposes a hotspot detection method based on frequency and variation thematic map of check-in data, and does some research on the spatiotemporal mining method of check-in data in the end. The correlation analysis experiment between the resident population and the amount of check-in user in different district shows that the check-in data has a high correlation with urban economy and population, indirectly reflects the distribution situation of urban economy and population, can be used for the analysis of national socioeconomic situation.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117132757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monitoring deformation of the intercity railway between Beijing and Tianjin with Terrasar","authors":"L. Du, Lin Zhu, Mi Chen","doi":"10.1109/Geoinformatics.2012.6270286","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270286","url":null,"abstract":"Based on TerraSAR data with high spatial resolution, the GAMMA software was used to obtain the distribution of land subsidence along the region of intercity railway between Beijing and Tianjin. Three-pass differential interferometry technology was adopted to monitor the land subsidence. Results showed that land subsidence is not obvious from March to July 2009 in the study area. The largest deformation during the aforementioned period is 6.14mm, which is around the average value of GPS monitoring.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121691852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The development of Jinan emergency system based on “3G” technology","authors":"Shang Dong, Yingxia Pu, Wenli Yu, Zhibing Jin","doi":"10.1109/Geoinformatics.2012.6270338","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270338","url":null,"abstract":"Emergency medical system can quickly and effectively provide emergency care personnel, equipment, hospital and medical services when a major disaster or emergent situation occurs. A scientific and efficient emergency medical system can significantly reduce the damage in the accidents. Based on the analysis of current 120 emergency system in Jinan, China, this paper designs a more reasonable and efficient 120 emergency system based on GIS, GPS and GSM (3G). GIS provides spatial analysis models and functions of geographical related operation, GPS achieves emergency vehicles positioning, and GSM establishes a data channel between vehicles and emergency center. Thereby, we can achieve scientific management of complicated spatial data and efficient urban emergency medical service.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124253198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the management and expression of disaster data","authors":"Yu Ma, Fuzhou Duan, Hao Liu, Jinyan Tian, G. Duan","doi":"10.1109/Geoinformatics.2012.6270310","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270310","url":null,"abstract":"Natural disasters that frequently occur may cause enormous loss of human lives and damage of properties. However, these losses can be reduced effectively by establishing disaster control and reduction system. In recent years, disaster control and reduction system based on 3D GIS are paid more attention. 3D disaster reduction system has the ability not only in managing and analyzing spatial data as well as the traditional 2D disaster reduction system, but also in processing mass data and truly expressing the 3D visualizing of geographical environment. However, there are still some technical difficulties in disaster data management and disaster information effective expression of 3D disaster reduction system. This paper discusses the method of disaster data management and disaster information expression in 3D disaster reduction system. Based on this, this paper designs a method to manage disaster data in integrated environment according to the multi-source, multi-scale and other features of disaster data. Besides that, it also describes the expression way of several variety disaster data. The experiment verifies that the proposed methods in this paper have achieved a satisfactory result.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125389135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jinyan Tian, Fuzhou Duan, Xinyuan Qu, Yuan Yuan, Yu Ma
{"title":"A method of airborne remote sensing image quality assessment based on image matching","authors":"Jinyan Tian, Fuzhou Duan, Xinyuan Qu, Yuan Yuan, Yu Ma","doi":"10.1109/Geoinformatics.2012.6270326","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270326","url":null,"abstract":"Since the fast development of UAV remote sensing provides us low-altitude high-resolution remote sensing data which is in great need in China, the flight quality assessment becomes one of the most important procedures of aerial photogrammetry. This paper introduces a flight quality assessment method based on image matching, which is a new meaningful attempt. The method uses RANSAC to remove coarse matched points, and calculates image rotation angle, track overlap, forward overlap, side overlap and strip deformation according to the matching parameters. Then it assesses the quality of the Unmanned Aerial Vehicle(UAV) flight from five aspects mentioned above. The proposed method involves some key technologies such as image processing, accuracy calibration, photogrammetry, data query. In the end, it establishes a complete quality assessment system which is of great efficient and high precision.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126043544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A tile-based scalable raster data management system based on HDFS","authors":"Guangqing Zhang, Chuanjie Xie, Lei Shi, Yunyan Du","doi":"10.1109/Geoinformatics.2012.6270280","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270280","url":null,"abstract":"Hadoop has become a worldwide popular open source platform for large data analysis in commercial application and Hadoop distributed file system (HDFS) is the core part of it. However, HDFS cannot be used directly for managing raster data, for the geographic location information is involved. In this paper, we describe the implementation of a tile-based scalable raster data management system based on HDFS. While reserving the basic architecture of HDFS, we reorganize the data structure in block, add some additional metadata, design an index data structure in block, keep an overlapping region between adjacent blocks, and offer a compression option for users. Besides, we provide functions for reading the raster data from HDFS in tile stream. These optimizations match the feature of raster data to the architecture of HDFS. MapReduce Applications can be built on the raster data management system.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122391125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaodong Song, G. Tang, Ling Jiang, Gang Zhang, Kejian Qian
{"title":"A novel parallel depression removing algorithm for hydrology analysis in digital elevation models","authors":"Xiaodong Song, G. Tang, Ling Jiang, Gang Zhang, Kejian Qian","doi":"10.1109/Geoinformatics.2012.6270268","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270268","url":null,"abstract":"The creation of “depressionless” DEMs is the essential work of hydrological analysis, which is usually a time-consuming task, especially for huge terrain datasets. This paper proposes an improved and versatile parallel algorithm which consists of three steps. Firstly, a parallel conflict detection based on flow direction of the border of each partition is proposed to check out the depressions on the boundary. Secondly, the depressions detected are filled by a bigger DEM received from other processors. Based on the conflict detection, the parallel filling process is done at last. Finally, the efficiency and scalability of the algorithm are tested on the DEMs of different size.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124146018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Object-oriented segmentation and classification of wetlands within the Khalong-la-Lithuny a catchment, Lesotho, Africa","authors":"P. Gao, C. Trettin, S. Ghoshal","doi":"10.1109/Geoinformatics.2012.6270319","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270319","url":null,"abstract":"Wetlands in the Maluti Mountains of Lesotho provide important ecosystem functions which are the basis for valued ecosystem services. However, those functions and values are threatened because of erosion. Assessing the extent of wetlands and their condition is fundamental to developing a strategy for restoration and management, but that's a difficult task given the inaccessibility of the region. Remote sensing is recognized as an effective tool to identify wetland areas and assess erosion. This study adopted object-oriented image segmentation and classification methods to identify wetlands in first-order watersheds forming the headwaters of the Matete River and evaluate ongoing erosion. The object-oriented method achieved an overall accuracy greater than 84%. The results proved that the existing wetland inventory which was built from SPOT 5 images by manual photo-interpretation method overestimated area of wetlands and did not capture the on-going erosion in wetlands. The object-oriented method was useful in determining that gullies are prevalent within the wetlands in each of the sampled watersheds.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121522959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}