Geographic Information Sciences最新文献

{"title":"Delimited Stroke Oriented Algorithm-Working Principle and Implementation for the Matching of Road Networks","authors":"Meng Zhang, L. Meng","doi":"10.1080/10824000809480638","DOIUrl":"https://doi.org/10.1080/10824000809480638","url":null,"abstract":"Abstract With the increasing availability of diverse geospatial databases, data integration becomes an indispensable process to assure the quality and add values to each single data source as well as promote the interoperability among different data sources. The paper presents an operational automatic matching approach for road networks based on the Delimited Stroke Oriented (DSO) algorithm. It consists of four processes: (1) establishment of an index to record the relationship between conjoint objects; (2) construction of the delimited strokes; (3) matching between the corresponding delimited strokes; and (4) matching growing from seeds. With the help of index, the conjoint edges to a delimited stroke can be easily brought together. The corresponding network is then treated as an integral unit in the matching process. As compared with point- or line-based matching, such as Buffer Growing (BG) and Iterative Closest Point (ICP), the network matching allows the consideration of more topological information in a larger context environment. Consequently, the DSO algorithm is able to yield a considerably improved matching performance in terms of computing speed, matching rate, matching certainty and robustness. The approach has been successfully tested on large road networks from a number of federal states in Germany.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133438053","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":"Preliminary Results of Satellite Radar Differential Interferometry for the Co-seismic Deformation of the 12 May 2008 Ms8.0 Wenchuan Earthquake","authors":"L. Ge, Kui Zhang, A. Ng, Yusen Dong, Hsing-Chung Chang, C. Rizos","doi":"10.1080/10824000809480634","DOIUrl":"https://doi.org/10.1080/10824000809480634","url":null,"abstract":"Abstract Satellite differential SAR interferometry has been widely accepted as a powerful tool to map co-, post- and inter-seismic deformation since its successful application to the 1992 Landers Earthquake. As soon as the Ms8.0 Wenchuan Earthquake occurred on 12 May 2008 in the Sichuan Province of southwestern China, the Japan Aerospace Exploration Agency tasked its Advanced Land Observing Satellite (ALOS) to respond to the disaster by collecting images. This paper presents the preliminary DInSAR results of co-seismic deformation of the quake observed from two satellite paths of the onboard ALOS/PALSAR sensor with post-seismic images acquired on 19 and 24 May. Results from pixel offset analysis and difference of coherence will also be discussed. The radar mapping is still ongoing because the ruptured seismic fault is more than 300km in length. Each swath of the PALSAR fine beam covers only about a 75km segment of the fault, and it takes 46 days for ALOS to revisit the same site.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"715 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116126290","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 Earth-Surface Interaction Mechanism, Process and Dynamics of Human-Earth System: Case Study on the Geographic Belt Transect from Shenzhen in Guangdong Province to Bayanhaote in Inner Mongolia Province of China","authors":"P. Shi, W. Fang, Jing Liu, Meiqin Zhou, Fei He, Qiu Pu, Juan Du, Jing Zheng","doi":"10.1080/10824000809480633","DOIUrl":"https://doi.org/10.1080/10824000809480633","url":null,"abstract":"Abstract China epitomizes a rapidly growing economic region typified by human-induced urbanization at a geometric rate. Considering the regional differentia of the Chinese geography, this paper chose a geographic belt transect of human-activity disparity to accomplish the earth-surface system research. The study area is a narrow southeast-northwest geographic belt transect of China, passing through six cities of China. The total study area measures 385600km2 with a width of 100—150km and a length of 2200km. Using the GIS and database technology, this paper integrated the basic geographic information, remote sensing images, statistical data, and special-subject pictures. Subsequently the geographic information system for the Shenzhen-Bayanhaote Geographic Belt Transect was generated. Founded on the database and GIS platform, the related geographic belt transect research on earth-surface interaction mechanism, process and dynamics of Human-Earth system was carried out. This is capable of providing scientific support and the foundation for expressing the impact of human activity on earth-surface system and understanding the differentia of regional geographic process. With regard to the research mechanism of Human-Earth system interaction, the impacts of both temperature and precipitation variation and the human-dimension factors on disaster loss were discussed and analyzed in the research belt transect. When considering the process and dynamics research of Human-Earth system interaction, the spatiotemporal pattern of the ecological assets, land use change and its impact on ecological assets in the research belt transect during the last five years of 1990s were analyzed. The flood-drought disasters and its relation with spatiotemporal pattern of land use in the research belt transect were investigated and discussed. Meanwhile, for performing in-depth research of the typical sample-points in the research belt transect, this study chose the Buji river watershed in Shenzhen. Shenzhen is characterized by population-induced rapid. The land use/cover change were measured and analyzed, and various hydrological process scenarios were simulated using SWAT distributed hydrological model under the situation of lack of observation data. The ultimate objective of this process was to reveal the impact of urbanization on the land use/cover change and improve the relevant research mechanism.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116946171","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 Model to Estimate Horizontal Errors within Existing Manually Digitized Maps","authors":"G. Achilleos","doi":"10.1080/10824000809480640","DOIUrl":"https://doi.org/10.1080/10824000809480640","url":null,"abstract":"A vast majority of the spatial linear data, which is converted to a digital format by means a manual digitizing process, is used regularly, without properly verifying the reliability of such converted data. It is essential to identify this level of reliability as such data is employed in numerous big projects, which continue to be designed and implemented without knowing the uncertainty and/or risk associated with the outcome. A posteriori knowledge of the level of uncertainty might be enabled using the data per se. In this paper, an effort is made to predict the horizontal accuracy of digitized contours by means of their given digital geometry. This forecast is made by developing a model which makes use of contour geometry indices and provides an estimate of their horizontal accuracy. Subsequently, this knowledge can be utilized to interpolate the surface represented by these digitized contours.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591148","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":"Satellite-Based Modeling of Anopheles Mosquito Densities on Heterogeneous Land Cover in Western Thailand","authors":"A. Charoenpanyanet, Xiaoyong Chen","doi":"10.1080/10824000809480635","DOIUrl":"https://doi.org/10.1080/10824000809480635","url":null,"abstract":"Abstract Landsat 5 TM was used as a tool to model Anopheles mosquito densities on heterogeneous land cover. In this study, mosquito density data was divided into five classes; absence, low, moderate, high, and very high densities. Land cover was classified into eight types. Stagnant water, wetland, and paddy land cover types are larva habitat. Forest, cropland, orchard, and grassland land cover types are adult habitat. Built-up land is non habitat. Multiple linear regression and discriminant analysis were selected to identify the relationship between mosquito densities and land cover types. For the average flight range of mosquitoes, 1000, 2000, and 3000 meters buffer were used as the sample zones around the collected points to test the relationship between them. The results revealed that discriminant analysis is the best statistical model for fitting the model. The mosquito flight range of 1000, 2000, and 3000 meters were predicted with accuracies up to 80%, followed by 74.3%, and 54.3%, respectively. Relationships between mosquito density and heterogeneous land cover in this study appear to be varied upon forest, grassland, and larva habitat within the 1000 meters buffer, likewise, forest, and larva habitat within 2000 meters buffer.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129524949","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":"An Efficient Algorithm for Raster-to-Vector Data Conversion","authors":"J. Teng, Fahui Wang, Yu Liu","doi":"10.1080/10824000809480639","DOIUrl":"https://doi.org/10.1080/10824000809480639","url":null,"abstract":"Abstract Data conversion From raster to vector (R2V) is a key function in Geographic Information Systems (GIS) and remote sensing (RS) image processing for integrating GIS and RS data. The R2V module is available in commercial RS software packages, but there is still room to improve the computation efficiency. This paper presents an efficient R2V algorithm that processes large images and automatically builds GIS topology while scanning image lines one by one. The new algorithm, termed Two-Arm Chains Edge Tracing (TACET), has several significant advantages. First, it converts all types of area objects of RS classification in only one processing cycle. Secondly, it constructs complete area topological relationship by recording the shared edge between two polygons only once. Finally, it is scalable when processing large images. The program based on the algorithm is faster in processing large RS images with comparison to commercial software such as ENVI.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129174411","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":"Land Cover Classification in the Poyang Lake Region, China, Using Landsat TM and JERS-1 Synthetic Aperture Radar Data","authors":"H. Sang, Hui Lin, Limin Yang, Y. Liu, Xiangming Xiao","doi":"10.1080/10824000709480630","DOIUrl":"https://doi.org/10.1080/10824000709480630","url":null,"abstract":"Abstract The Poyang Lake is the largest fresh water lake in China. As an internationally important wetlands, conservation of wild birds needs updated information on land use and land cover in the Poyang Lake region. This paper introduced a non-parametric knowledge-based classification method (decision tree classifier) for land cover classification in the Poyang Lake region. We merged optical sensor (Landsat 5 TM) image with Japanese Earth Resource Satellite-1(JERS-1) synthetic aperture radar (SAR) images. The overall accuracy of the classification result was about 82%, of which forest was classified with higher accuracy (over 87%) and less errors of omission and commission. Main classification errors came from the similar spectrum of different land cover classes in winter. The seasonal dynamics should be considered for selecting optical satellite images for classification when using this pixel-based classification algorithm. The results of this study suggests that the non-parametric decision tree classifier together with fusion of optical and SAR images is an efficient method for mapping complex landscapes with agriculture, wetlands and forests.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121229854","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":"Poyang Hu (Jiangxi Province, P. R. of China) Area Variations between January 2004 and June 2006 Using ENVISAT Low and Medium Resolution Time Series","authors":"R. Andreoli, H. Yésou, Jiren Li, Y. Desnos, Shifeng Huang, P. Fraipont","doi":"10.1080/10824000709480629","DOIUrl":"https://doi.org/10.1080/10824000709480629","url":null,"abstract":"Abstract Poyang Hu, one of the most regularly flooded areas in China, can be considered as a key hydrological element in flood control and reduction within the middle Changjiang basin. This area was selected as a major test site of the Flood DRAGON Project, part of the MOST-ESA DRAGON Programme. Over two and half years, water extent was monitored based on sixty-four ENVISAT low and medium resolution ASAR and MERIS FR images. It's the first time that such an amount of ENVISAT data was used in monitoring inland lake water extent variations. This original integration approach involves: lake surface variation analysis, yearly submersion time estimation, and a spatial recognition of three major hydrological sub-systems. The results highlight the great potential of ENVISAT, and more largely Earth Observation Medium Resolution data, for large inland water body monitoring and management. This approach can be applied worldwide in the context of global climate change.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127601153","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 Data Management and Analysis System for Flood Hazard Mitigation of Poyang Lake Watershed, China","authors":"Jianzhong Lu, Xiaoling Chen, Jian Zhang, Yechao Sun, S. Bao","doi":"10.1080/10824000709480627","DOIUrl":"https://doi.org/10.1080/10824000709480627","url":null,"abstract":"Abstract Flood hazard Prevention and mitigation of Poyang Lake watershed is an emergent environmental problem because Poyang Lake watershed is one of the regions exposed most frequently to flood hazard in China. In order to meet the need of disaster reduction decision making of Poyang Lake watershed, Spatial Data Management and Analysis System of China Land Territory (not include islands in South Sea of China)for Flood Hazard Mitigation(short for SMAS-FHM) has been established making use of the methodology of spatial database technology based on Oracle9i&ArcSDE9. This paper, probes into designing and implementation of multi-resources and scales massive spatial database management system about flood hazard, and integral management between hazard thematic data and spatial data. Especially, a bitmap index adapted to primal TM/ETM+ image has been put forwards and realized to accelerate data search in the spatial database, which is turned out to be efficient and effective. Based on carrying out experiment, this paper has been also researched the key issues, including massive spatial data and flood hazard thematic data organization and storage, spatial index creating, spatial data searching, and flood hazard analysis models realizing and their effective organizing, such as flooding areas computing, 3-dimension flooding simulation, refuge location selection, refugee evacuation path analysis and relief material dispensing. Finally, important applications of SMAS-FHM in flood hazard mitigation have been also discussed for Poyang Lake watershed.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125589263","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 Web-based Spectrum Library for Remote Sensing Applications of Poyang Lake Wetland","authors":"Ligang Fang, Shuisen Chen, Xia Zhou, S. Liao, Liangfu Chen","doi":"10.1080/10824000709480626","DOIUrl":"https://doi.org/10.1080/10824000709480626","url":null,"abstract":"Abstract Although the development of spectral library is a hotspot at home and abroad since 90's in 20th centuries, there isn't a suit of accessible spectral data of Poyang Lake wetland and it can't meet the demands of theory research and application of remote sensing in typical wetland protection and development of Poyang Lake nowadays. Aiming at establishing a practical spectral library of Poyang Lake's wetland (including hydro-physic community, swamp and grassland etc.), wetland spectra and their environment parameters and application models are integrated based on web techniques. The research concentrates on the description of spectral data measurement method, store & organization, realization of querying and presentation and web-interface design. It offers the details of regional featured spectra and an application demonstration of remote sensing identification model for wetland type, which provides large convenience for research fellowship in quantitative remote sensing.","PeriodicalId":331860,"journal":{"name":"Geographic Information Sciences","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114794484","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}