2009 17th International Conference on Geoinformatics最新文献

{"title":"Spatial distribution of litter storage in China","authors":"Yuandan Ma, Xiuying Zhang, Qiu'an Zhu, Hong Jiang, Meiling Huang, Bin Wang, Xiaohui Xia","doi":"10.1109/GEOINFORMATICS.2009.5293433","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293433","url":null,"abstract":"Plant litter is an important carbon pool in the terrestrial carbon balance. Therefore, it is important to acquire the spatial distribution of litter storage at a large scale, in order to predict the effects of environmental changes, such as climate warming and precipitation changes on plant communities. The present study analyzed the spatial distribution of litter storage in China, based on the field measurement data, geographical and climate information. Litter storage field measurement data from publications of forest studies from 1999 to 2008 in China, 228 data sets, were summarized in this study, and how the temperature and precipitation influence the spatial distribution of litter storage of dominant ecosystems were investigated. The map of vegetation distribution was acquired from MODIS data. The spatial distribution of temperature and precipitation were obtained from about 650 meteorological stations with the help of DEM. Mean litter storages ranged from 2.06 Mg/ha (alpine tundra) to 9.87 Mg/ha (conifer forests) among five types of forests, and were 2.09 Mg/ha (in south subtropical zone) to18.2 Mg/ha (in warm-temperate zone) among climate types. The distribution of forest litter storage density has mainly influenced by mean annual temperature in the longitude≥120° E zones, and by mean annual precipitation in the 110° E≤ longitude ≪120° E zones. When longitude ≪ 110° E, whether the mean annual precipitation ≥ 1000mm has been a delimitation of whether precipitation or temperature are the complex factor to influence the litter storage density.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128578053","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":"Multi-level Semantic matching of Geospatial Web Services","authors":"An Luo, Yandong Wang, Lanfang Wang, You He","doi":"10.1109/GEOINFORMATICS.2009.5293450","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293450","url":null,"abstract":"The appearance of semantic Web makes the automatic discovery and invocation of geospatial Web services become possible. The key technology of automatic discovery is service matching. This paper designs a common semantic service description model, which contains four aspects as the classification of service, input/output, precondition/effect and the quality of service (QoS), to describe the geospatial semantic service by geo-ontology. Then we propose a multi-level semantic web service matching approach which matches the geospatial services on four levels. Finally, a prototype system based on the above models and methods is designed and implemented, and it demonstrates that our solution yields high-quality results under realistic situation.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125334791","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":"Estimation of Manning's roughness coefficient distribution for hydrodynamic model using remotely sensed land cover features","authors":"A. Hossain, Yafei Jia, Xiabo Chao","doi":"10.1109/GEOINFORMATICS.2009.5293484","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293484","url":null,"abstract":"This research explores the potential of remote sensing techniques to derive distributed Manning's roughness coefficient (Manning's n) for the use in hydrodynamic models for numerical simulation of open channel flow in natural channels and flood plains. Normalized Difference Vegetation Index (NDVI) based land use land cover (LU/LC) data was generated using the Landsat 5 Thematic Mapper (TM) and Advance Land Observing Satellite (ALOS) Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) imagery. Manning's n were obtained from published literature for different features in flood plains and correlated with the remote sensing derived LU/LC features. CCHE2D model, developed by the National Center for Computational Hydroscience and Engineering (NCCHE), at The University of Mississippi, for simulating two dimensional depth-averaged unsteady flow and sediment transport was used to validate the remote sensing derived distributed Manning's n for channel flow calculation. Results obtained from this research indicate that satellite imagery derived LU/LC data has potential to be used to improve hydrodynamic model simulation by providing distributed Manning's roughness coefficient for respective model domains.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128162056","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":"Exchange files of geographic incremental updating information based on XML","authors":"Shen Ying, Lin Li, Hong Wang, W. Liu, Yurong Gao","doi":"10.1109/GEOINFORMATICS.2009.5292808","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292808","url":null,"abstract":"With the enrichment of products and applications of geographic information, updating of geographic information becomes more and more important. The future geographic information services will be “on demand and timely updating”. We need high frequency of updating with geographic information, which make the incremental updating or change-only updating to be the novel and mainstream method. Incremental updating detects the difference between different version data sources in the master database and only records the changes information of geographic features and the corresponding characteristics. We deliver the incremental information to client users with differential files to fusion with client database. Scarcity of transmission and exchange of updating information results in the difficulty or inconsistence of updating with spatial database, and a very small change may replace the whole database. We utilize the Extensible Markup Language (XML) to express the incremental information about geographic features because of its standard, openness, readability and flexibility. The paper will define the XML schemas to represent the differential spatial data. Incremental updates with XML provide minimal, structural and detail updating information to the client users, and the users can parse the exchange files to update and upgrade their own database conveniently and consistently. Also the XML exchange of incremental geographic information can satisfy the use-defined demands to implement custom updating. We illustrate the mechanism of share and interoperability with XML updating exchange. Incremental updating with XML exchange will become the commonplace method of updating with GIS database, which provide the novel approach for updating with internet and application of embedded system.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124145646","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":"Temporal and spatial variation of urban airborne inhalable particle and it's influence factor analysis using GIS & RS","authors":"Wen-hui Zhao, H. Gong, Wen-ji Zhao, Lin Zhu, T. Tang","doi":"10.1109/GEOINFORMATICS.2009.5293540","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293540","url":null,"abstract":"To identify the inhalable particle matter(IPM) sources and to estimate the variability in their contributions to inhalable particle concentrations across the Beijing city, the spatial distribution of PM0.3, PM1.0 and PM3.0 concentration are simulated by monitoring data obtained from 93 air sampling stations in Beijing urban city and Kriging techniques. Inhalable particles in this study had aerodynamic size between 0.3 and 3.0µm. By taking streets and towns as the basic spatial analysis unit, some factors are mapped influencing urban airborne inhalable particulates pollutions such as urban ground surface types based on GIS and RS. The correlation between PM0.3, PM1.0 and PM3.0 and their influencing factors are quantitatively evaluated by using GIS multifactor integrated analysis and GIS overlay of ranked data layers. The results show that spherical models with nuggets could fit the variograms of PM0.3, PM1.0 and PM3.0. The IPM concentration had significant decreasing trend from 2007 to 2008. Meanwhile, the pollution center has transferred from north and northeast district to southwest and northwest. The spatial relativity between three air particles and their impact factors have spatial heterogeneity in the north, southwest and downtown. Among the three pollutions, the spatial distribution of PM1.0 is firstly influenced by the influence factors; PM3 is secondly, PM0.3 is thirdly.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"14 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123427100","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":"Spatial uncertainty analysis for water distribution under fragility curves","authors":"Ming-Ko Chung, Che-Hao Chang","doi":"10.1109/GEOINFORMATICS.2009.5293417","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293417","url":null,"abstract":"On September 21, 1999, the Chi-Chi Earthquake occurred in central part of Taiwan. The earthquake caused over 10,000 buildings collapsing and over 2,300 people dead, and ninety-two fire events within twenty-four hours. The water supply facilities were also damaged seriously by the earthquake, and couldn't provide industry using and fire-fighting using water. The post-earthquake fires can cause severe damage, especially in an urban area, such as the 1994 Northridge Earthquake and 1995 Kobe Earthquake. Therefore, the reliability of water supply system after earthquake should be estimated. It's can help to prevent water shortage caused by earthquake. In order to predict the damage of water supply network after earthquake, the fragility curves should be derived. This study use the fragility curve which derived by regression analysis which was performed by repair rate and ground strain that was calculated by Permanent Ground Deformation (PGD) applied Strain Gage Rosettes method and Mohr's circle.(CHANG and CHUNG 2008). Therefore, damaged points can be estimated through the damage ratio correspond to different earthquake intensity. Damaged points are distributed in water pipeline network randomly, and loss of water by different earthquake intensity can be assessed. The simulations help us to analyze the water supply capabilities by different earthquake intensity. Base on spatial uncertainty analysis of random distributed damaged points, the reliability of water supply system is estimated.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123486788","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":"Urban forest inventory using open access web mapping services and photogrammetric solution","authors":"Mary E. Thornhill, A. Abd-Elrahman, M. Andreu","doi":"10.1109/GEOINFORMATICS.2009.5293545","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293545","url":null,"abstract":"Community -based data collection is a new trend that can empower and diversify our data collection methods and increase our understanding of the environment. As citizens are becoming more interested and involved in ecological matters utilizing their manpower and knowledge can be a new valuable resource for researchers and urban managers. Utilizing web mapping services to assist in collecting spatially related data can provide data that previously required dedicated personnel. National or regional programs for urban forest inventories that utilize trained crews, such as the UFORE program, were previously used exclusively. Much of the information collected by crews can be collected by interested community volunteers if combined with proper education and other resources such as high resolution aerial images and ground images. Our research tested the idea of utilizing a web application built around Google Maps ™ web-based service that allows users to actually select and input information about their backyard vegetation. We extended this idea by extracting metric information such as crown diameter, tree heights and diameters by solving close-range photogrammetric models for images captured using consumer-grade digital cameras and uploaded by participating citizens. The images were processed using one of the commercial photogrammetric software. Ground survey measurements made using survey equipment were collected and analyzed to test the accuracy of the photogrammetric model. We compared the results of the photogrammetric solutions with the higher-accuracy survey-quality measurements. The preliminarily results of this research demonstrated the potential for photogrammetry to provide valuable data for urban forest inventory programs.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122502085","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":"Estimating aboveground biomass for different forest types based on Landsat TM measurements","authors":"Min Li, J. Qu, X. Hao","doi":"10.1109/GEOINFORMATICS.2009.5293408","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293408","url":null,"abstract":"Forest aboveground biomass (AGB) is an important variable for evaluating ecosystem functions, assessing fire behaviors and impacts, and understanding global carbon balance. Remote sensing technology provides a feasible way to acquire forest stand information at a reasonable cost with acceptable accuracy. This study utilized reflectance in six non-thermal Landsat TM bands and a variety of vegetation indices to identify the relationships between TM data and AGB for different forest types. The field AGB data for testing and validation was from Forest Inventory and Analysis (FIA) datasets of Georgia forests. The forests were classified to softwoods, hardwoods and mixed forests. The strength of correlation between AGB and TM reflectance and vegetation indices was calculated. Multiple regression analyses were used to develop AGB estimation models. The results indicated that vegetation index was better predictive variable than TM single band reflectance in AGB estimation. The vegetation indices including three or more TM bands were more strongly correlated with AGB and more commonly used in AGB estimation models. Different forest types have different relationships between TM data and AGB. The best TM bands in AGB estimation for different forest types are: TM7 and TM1 for hardwoods forests, TM1 and TM5 for softwoods forests, TM3 and TM5 for mixed forests. Potential errors in our AGB estimates could be associated with effects of soil background, the accuracy of land cover data and sampling errors. The possible way to improve the estimation accuracy can be integration of different sources of remotely sensed data or more stand structure information.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121564790","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":"Space - time spread of sexually transmitted diseases (STDs) in 2 states: A preliminary analysis","authors":"M. Kloc, A. Nicogossian, N. Koizumi, Amit Patel","doi":"10.1109/GEOINFORMATICS.2009.5292971","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292971","url":null,"abstract":"This study preliminarily assesses spatial patterns of the spread of two common sexually transmitted diseases (STDs), Chlamydia and Gonorrhea, in Virginia and California. In particular, we ask how spread patterns correlate with locations of recently deployed military personnel. In Virginia, higher prevalence rates of STDs were found almost consistently in the counties with or adjacent to military installations. However, the equivalent correlation was not found in California.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121722160","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 practical route guidance approach based on historical and real-time traffic effects","authors":"F. Lu, Yingying Duan, Nianbo Zheng","doi":"10.1109/GEOINFORMATICS.2009.5293444","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293444","url":null,"abstract":"Implementing convenient traveling information service is a crucial task for deploying intelligent transportation system applications and location-based services. Traditional traveling information service systems, such as car navigation systems or web maps, only provide relatively static information which doesn't truly reflect the dynamic changes of traffic situation, and result in very limited practical use. Although there have emerged some car navigation products and other applications involving dynamic traffic information, considering the rapid change of city traffic situation, these applications still face practical difficulties for all the information received real-timely will get outdated within a few minutes, which makes the so called dynamic applications basically time-slice limited static ones. Aiming at such a problem, a short-term traffic prediction approach and a consequent real-time route guidance process are presented in this paper which integrates historical traffic based statistical reasoning, real-time traffic and events processing, with a BP neural network based analytical model, to forecast the situation and evaluate the influence of traffic during the traveling process. Then a collaboration working framework is set forward to implement dynamic route guidance, with the combination of a GIS server, a traffic forecasting server and a database management system. The traffic forecasting server, integrating with historical statistics reckoning continuously receives real-time traffic information obtained from floating vehicles, traffic events described in natural language, and achieves short-term forecasting results for the whole road networks, then fed the results back into the database management system and GIS server, so that a time-dependant optimal routing can be conducted through a dynamic least traveling time algorithm developed in this study. A prototype navigation system fulfilling the above aspects has been developed and the dynamic route choice approach demonstrated on road networks in the downtown area of Beijing city. The approach presented in this paper is argued to provide a practical solution for real-time public traveling information service and dynamic web maps.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121773329","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}