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2011 19th International Conference on Geoinformatics最新文献

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Extraction of sandbank shoreline of Jiangsu based on wavelet transformation 基于小波变换的江苏沙洲岸线提取
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980914
Yongxing Wang, Yongxue Liu, Manchun Li, Shuo Yan, Xiaowei Ma, Shuai Zhang, Jing Zhang
{"title":"Extraction of sandbank shoreline of Jiangsu based on wavelet transformation","authors":"Yongxing Wang, Yongxue Liu, Manchun Li, Shuo Yan, Xiaowei Ma, Shuai Zhang, Jing Zhang","doi":"10.1109/GEOINFORMATICS.2011.5980914","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980914","url":null,"abstract":"The sandbank is a potential huge land resources, especially for land nervous regions, however, it has a very important realistic significance. So it becomes more important for sandbank shoreline's rapid monitoring, extraction and changing analysis. For the rapid extraction of sandbank shoreline of Jiangsu, China. Wavelet transform will be used first to process TM image. Then, on the basis of analyzing the gray value in each band of TM image, spectrum-photometric method will be used to pick up water body. And then generate a binary image, and carries on the non-directional edge enhancement processing. Last, generate a vector image of sandbank shoreline. By this method, we can improve the computer processing speed, and, it is useful for treatment of mass data of multi-temporal and wide range. In addition, also greatly shorten the time of artificial extraction and reduce the error caused by artificial subjective.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121321915","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}
引用次数: 0
Measuring neighbourhood sustainability performance: An indexing model for Gold Coast City, Australia 衡量社区可持续发展绩效:澳大利亚黄金海岸城市的指数模型
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980983
Fatih Dur, Tan Yigitcanlar, J. Bunker
{"title":"Measuring neighbourhood sustainability performance: An indexing model for Gold Coast City, Australia","authors":"Fatih Dur, Tan Yigitcanlar, J. Bunker","doi":"10.1109/GEOINFORMATICS.2011.5980983","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980983","url":null,"abstract":"The aim of this research is to develop an indexing model to evaluate sustainability performance of urban settings, in order to assess environmental impacts of urban development and to provide planning agencies an indexing model as a decision support tool to be used in curbing negative impacts of urban development. Indicator-based sustainability assessment is embraced as the method. Neighbourhood-level urban form and transport related indicators are derived from the literature by conducting a content analysis and finalised via a focus group meeting. The model is piloted on three suburbs of Gold Coast City, Australia. Final neighbourhood level sustainability index score was calculated by employing equal weighting schema. The results of the study show that indexing modelling is a reasonably practical method to measure and visualise local sustainability performance, which can be employed as an effective communication and decision making tool.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127200898","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}
引用次数: 3
Remote sensing, crop yield estimation and agricultural vulnerability assessment: A case of Southern Alberta 遥感、作物产量估算和农业脆弱性评估:以阿尔伯塔省南部为例
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980692
W. Xu, X. Ren, A. Smith
{"title":"Remote sensing, crop yield estimation and agricultural vulnerability assessment: A case of Southern Alberta","authors":"W. Xu, X. Ren, A. Smith","doi":"10.1109/GEOINFORMATICS.2011.5980692","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980692","url":null,"abstract":"This research investigates the relationship between agricultural production and the occurrence of meteorological droughts over time. A remote sensing approach is developed to estimate the yield of cereal crops based on the remotely sensed data in the study area. The yield estimates from remotely sensed imageries provide a primary data source to measure agricultural well-being and quantify agricultural vulnerability to drought. The drought condition as the stressor to agricultural production systems is characterized using the standard precipitation index (SPI). The results of the study indicate that crop production system in Southern Alberta is very vulnerable to drought. About half of the study area is associated with a high to extremely high vulnerability. If the drought trend in the recent past repeats itself in the near further, it can be expected that crop production in these areas will be seriously threatened.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127264328","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}
引用次数: 11
Estimating seismic losses of schools using SELENA: The case of Wenchuan earthquake 用SELENA估算学校地震损失:以汶川地震为例
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980908
Yan Yang, F. Zhan, Lin Li
{"title":"Estimating seismic losses of schools using SELENA: The case of Wenchuan earthquake","authors":"Yan Yang, F. Zhan, Lin Li","doi":"10.1109/GEOINFORMATICS.2011.5980908","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980908","url":null,"abstract":"Estimation of the seismic risk of schools in developing countries is an important but challenging task. In this paper, we report an attempt to estimate the damage and losses of primary schools during the Mw7.9 Wenchuan earthquake that ruptured on 12 May 2008 using SELENA (SEismic Loss EstimatioN from a logic tree Approach). In this study, the seismic hazard was assessed with the probabilistic analysis procedures available in SELENA. The capacity spectrum method (CSM) was applied to determine the vulnerability function, which is a basic input for estimating building damages and losses. The HAZUS methodology was used for estimating human losses. This paper reports preliminary results about the seismic risk of primary schools in some affected areas of the Wenchuan earthquake. In addition, it presents some findings about the usefulness of SELENA for estimating damages and losses of schools using data from a developing country like China.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127328424","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}
引用次数: 3
A MapReduce framework for on-road mobile fossil fuel combustion CO2 emission estimation 道路移动化石燃料燃烧CO2排放估算的MapReduce框架
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980759
Junyan Zhao, Junkui Zhang, Siqi Jia, Qi Li, Yue Zhu
{"title":"A MapReduce framework for on-road mobile fossil fuel combustion CO2 emission estimation","authors":"Junyan Zhao, Junkui Zhang, Siqi Jia, Qi Li, Yue Zhu","doi":"10.1109/GEOINFORMATICS.2011.5980759","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980759","url":null,"abstract":"Research of global climate change has an urgent need for the distribution of CO2 emissions with high spatial resolution. Traffic is an important carbon source in the urban development. Real-time data collected by the Intelligent Traffic System (ITS) plays a more and more significant role in the CO2 spatial-temporal distribution data production. However, the amount of data is so large that the data processing task has become a great challenge to the traditional data warehouse. MapReduce is a powerful framework for huge dataset processing on clusters of computers. In this paper, we proposed a MapReduce framework for on-road mobile fossil fuel combustion CO2 emission estimation. We implemented the emission estimation tool suite of our prototype based on Hadoop. The experiment result shows that the system is efficient and is suitable for this kind of applications.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124892356","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}
引用次数: 12
Remote sensing image database based on NOSQL database 基于NOSQL数据库的遥感影像数据库
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980724
Zhifeng Xiao, Yimin Liu
{"title":"Remote sensing image database based on NOSQL database","authors":"Zhifeng Xiao, Yimin Liu","doi":"10.1109/GEOINFORMATICS.2011.5980724","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980724","url":null,"abstract":"Relational database technology plays an eventually role in the area of storage, management and analysis of global image in the past few decades. However, an RDBMS isn't an ideal platform for modeling complicated spatial data networks and it is expensive and hard to maintain especially when the whole system is getting larger. With a revolution of Web technology, named as Web 2.0, NOSQL storages become an extremely hot new paradigm in data present and application. Hadoop offers a free open database named as HBase that closely emulate most of the components of Google's BigTable in the management of global mass GIS data. This paper provides a view of the capabilities of NOSQL Database applied in global image systems and we have come out with that NOSQL Database involved huge volumes, network partitioning, and replication has a wide applicability, scalability and high performance than the traditional relational ones.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829763","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}
引用次数: 23
A web services based integrative platform for marine information in South China Sea 基于web服务的南海海洋信息综合平台
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981112
Yawen He, Xiaomei Yang, F. Su, Yunyan Du
{"title":"A web services based integrative platform for marine information in South China Sea","authors":"Yawen He, Xiaomei Yang, F. Su, Yunyan Du","doi":"10.1109/GEOINFORMATICS.2011.5981112","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981112","url":null,"abstract":"This contribution presents a service-oriented application that addresses the issues of marine information accessibility and enables scientists to implement ocean models online. The application serves four primary functions: 1) Integrate in-situ and satellite observation data and model results. 2) Produce value-added products by combing multiple data sources. 3) Supply various methods to access and visualize the data. 4) Provide on-demand modeling capability for users to configure ocean models and finally visualize the model results. We will present the infrastructure of the application and its key components. We will also show some example applications in South China Sea.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125998821","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}
引用次数: 0
A new matching algorithm for Chinese place names 一种新的中文地名匹配算法
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980801
Gang Cheng, Fei Wang, Haiyang Lv, Yin-ling Zhang
{"title":"A new matching algorithm for Chinese place names","authors":"Gang Cheng, Fei Wang, Haiyang Lv, Yin-ling Zhang","doi":"10.1109/GEOINFORMATICS.2011.5980801","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980801","url":null,"abstract":"Matching algorithm for Place Names is one of the most important research topics in the construction of digital gazetteers. Taking account of the morphological characteristics of Chinese Place Names and ontology method, we first pretreat the Chinese Place Names to remove illegal characters, decompose the Chinese Place Names into special names and generic terms, and then use both the Levenshtein Distance(LD) method and the semantic distance method to calculate relationship of similarity between them. Finally, we get the comprehensive similarity for Chinese Place Names by calculating the weighted average for both similarity of special names and that of generic terms. In this study, the example shows that similarity index for special names, generic terms and the overall place names, enhance the completeness and accuracy of the place names matching theory.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123699850","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}
引用次数: 7
Spatial correlation analysis between impervious surface, green space and urban heat island 不透水面、绿地与城市热岛的空间相关性分析
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980744
Xiaoping Zhang, Mingxi Zhang, Jun Zhang, Yingbao Yang
{"title":"Spatial correlation analysis between impervious surface, green space and urban heat island","authors":"Xiaoping Zhang, Mingxi Zhang, Jun Zhang, Yingbao Yang","doi":"10.1109/GEOINFORMATICS.2011.5980744","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980744","url":null,"abstract":"The objective of this research is to explore the spatial correlation between impervious surface, green space and urban heat island based on a case study of Nanjing, China. The Landsat TM image was used to retrieve land surface temperature. According to the impervious surface area (ISA) and the fractional vegetation cover (Fr) having an inversely relation in urban built-up areas, the spatial pattern of the impervious surface area was obtained. By calculating of the three optimum bands, the image was classified and urban green space was extracted. And then we researched the relationship between impervious surface area, the area of green space, the shape index of green space and land surface temperature in urban built-up area. In addition, through multivariable linear regression, the comprehensive regression was gained.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123774242","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}
引用次数: 2
Artificial cover extraction based on a Hierarchical Stripping Model in the Loess Plateau, China 基于分层剥离模型的黄土高原人工覆盖物提取
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980706
Miao Lu, Yang Mei, Hao Song
{"title":"Artificial cover extraction based on a Hierarchical Stripping Model in the Loess Plateau, China","authors":"Miao Lu, Yang Mei, Hao Song","doi":"10.1109/GEOINFORMATICS.2011.5980706","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980706","url":null,"abstract":"This paper proposes a Hierarchical Stripping Model (HSM) to extract artificial cover in the Loess Plateau of China by stripping other no-artificial covers (e.g. water, vegetable, cropland, bare) hierarchically. Firstly, a Statistic Divisibility Analysis (SDA) is established to evaluate the divisibility between artificial and no-artificial cover and the divisibility values are the key base of specifying an optimal stripping sequence. And then, each no-artificial class with distinct level of divisibility is stripped by different ways which includes artificial cover index, Support Vector Machines (SVM) classification, object-oriented expert knowledge and object-oriented post-classification. This method was developed and tested on one Landsat path/raw study site that contain Yan'an City, and the overall accuracy and Kappa coefficient of the study area were 98.9286% and 0.9786 respectively. Therefore, the method has the potential to provide a robust method to extract artificial cover in complex large area.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125308920","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}
引用次数: 0
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