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  • 2010 Volume 12 Issue 5
    Published: 25 October 2010
      

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  • ARTICLES
    ZHANG Geli, WANG Liben, OUYANG Hua, XU Xingliang, DING Shigang, YANG Zhaoping
    2010, 12(5): 593-601.
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    The effects of landscape pattern changes on ecological services are significant for ecological protection and landscape pattern optimization,especially for ecological fragile regions.This paper investigated ecological service functions due to landscape pattern changes in a typical region,i.e.the spring recharge area of Jinan,which is a major recharge source area of spring water.This was done based on the analysis of landscape patterns changes by spatial analysis methods of Geographic Information System(GIS) and interpretation of remote sensing images,and ecological service value coefficients evaluation of terrestrial ecosystems in China.It will provide theoretical support for regional sustainable development,landscape planning and urban construction.The results showed that: 1) cultivated land area and grassland area decreased,while woodland area,garden plots area and construction land area increased rapidly,especially woodland area changed most.On the transformation of landscape types,cultivated land was apt to transform into others,especially into construction land and garden plots;and the increase area of woodland mainly derived from grassland and cultivated land.2) The value of ecological services mainly depended on changes in woodland's and cultivated land's,which decided the ecological service function changes.The value of water and soil conservation function in the spring recharge area was the largest,and its proportion in the total value was about 20%.3) The value of total ecological services increased from 1995 to 2005.As for changes in single ecological service,service values of water and soil conservation,waste treatment and food production decreased,in which the value of water and soil conservation reduced by a most proportion,reaching up to 4.01%.It suggested that,more attention should be paid to water and soil conservation functions,in order to protect the spring recharge area,and gradually increase the total ecological benefits.
  • ARTICLES
    WU Jianwei, CHEN Chongcheng, TANG Liyu
    2010, 12(5): 602-612.
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    Soil suitability evaluation is a complex issue which concerns many disciplines and depends on varied knowledge and experiences.In resent years,the ontology coming from fields of Intelligent Information Processing and Knowledge Management Engineering is a new method for knowledge representation,sharing and reusing.In this paper,the ontology-based knowledge representation and the technique of ontology-based knowledge base system(KBS) were applied in the soil suitability evaluation domain.Firstly,the necessity and innovation of using the ontology-based KBS in the process of soil suitability evaluation was discussed.According to the system target of soil suitability evaluation application,the framework of ontology-based KBS and the key technologies to implement it were prompted.By combining the essential connotation and general process of soil suitability evaluation,the system design ideas of ontology-based KBS used in soil suitability evaluation domain was determined,and the system architecture using OWL and Jena2 was presented.Based on analysis of soil suitability evaluation and associated fields such as crop cultivation and land use,the core concept set and relevant set of domain ontology model were extracted,and the soil suitability evaluation ontology was developed by OWL,the domain ontology language.Based on the extracting of reasoning rules for soil suitability evaluation and soil property knowledge representation,the reasoning rules of the system was put forward according to the rule syntax of Jena2.Then the ontology and rules was stored in the ontology-based knowledge base(KB) by using the system functions of persistence storage and rule editor.Base on the construction of ontology-based KB and rule-based reasoning mechanism,the KBS fruit planting suitability evaluation was carried out by developing and integrating of the system functions for ontology parsing,ontology instances constructing,rule-based reasoning and result querying.Finally,we present an example of soil environmental quality and soil suitability analysis to prove the feasibility and practicability of the system.The research shows that the ontology-based knowledge based system can make effective use in the process of soil suitability evaluation and increase knowledge sharing and reusing.
  • ARTICLES
    ZHANG Jinqu, ZHU Yunqiang, WANG Juanle, SONG Jia, SUN Jiulin
    2010, 12(5): 613-619.
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    Although the promotion of scientific data sharing has brought an unprecedented research opportunity,it still did not get rid of the traditional research process that is "collecting data-downloading data-analyzing data",which has severely hampered the efficiency of research output and the needs of data for researchers has been changed into the needs of information and knowledge.In this paper,taking China's socio-economic statistical data,vector data of national fundamental geographic administrative divisions as examples,in conjunction with ESRI and Google's global maps and image services,we discussed the virtual data integration methods of geo-multisource data and its visualization analysis application,so as to realize rapid knowledge discovery and information acquisition.The paper firstly described methods to publish the map data and attribute data as web services and then discussed three integration principles of multisource web services for the heterogeneous and homogeneous data:(1) all the records of attribute data are assigned a unique number as key fields for the association with a spatial map shape,so that the spatialization of attribute data could be realized;(2) all the spatial data are preprocessed to be suitable for integration by unifying their projections and coordinate systems;and(3) the integrity and accuracy of the data published for web services are ensured.Following the above three principles,the data were prepared.After publishing different types of data as web services,a scheme of online data statistical analysis and visualization based on integration data retrieved from multi-source web services were designed and a preliminary application system was developed.The results show that service-oriented technology can effectively solve the problems of multisource heterogeneous data integration and have obvious advantages as opposed to traditional data sharing and application system.Although the service-oriented technology has turned to be mature,there is still a long way to go for the wide and deep applications.According to our study,there still exist some problems such as the different data units from different sources,the complex operation processes and the ununiform service specification.In future studies,more attention should be paid to the standardization of different services,intelligent operations and application packaging,so as to promote the construction of E-Geoscience and provide all-round services for researchers ultimately.
  • ARTICLES
    CHENG Chuanzhou, YANG Xiaohuan, LI Yuejiao, JI Yinxiao
    2010, 12(5): 620-627.
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    With a large population and a relatively less cultivated land,China's food security has always been a top priority for the country.For cultivated land resources and grain productivity are the basis for food security,researches that focus on effects of cultivated land change on grain potential productivity in China are of great practical significance and can provide scientific grounds for relevant national decision-making.This study,based on latest meteorological observation data and satellite retrieval data from 2005 to 2008,and on quantitative change and quality characteristics of cultivated land resources,combining cultivated land data and change data in 2005 and 2008,focuses on the effects of cultivated land change on light-temperature potential productivity in China from 2005 to 2008.The results showed that: productions of light-temperature potential productivity have both increased zone and reduced zone in the process of cultivated land change.There is non-equivalence of yield variation in increased zone and reduced zone,as increase of 7.8514 million tons in increased zone and reduction of 25.4361 million tons in reduced zone,resulting to a net decrease of 17.5847 million tons.There also is non-equivalence of per unite yield in increased zone and reduced zone,as average values of light-temperature potential productivity are 11.89 t/hm2 in increased zone and 20.99 t/hm2 in reduced zone.The later is almost 2 times more than the former.Increased zone and reduced zone have different spatial distribution: increased zone mainly distributed in Xinjiang,Heilongjiang,Inner Mongolia,Ningxia,Qinghai provinces/autonomous regions,i.e.northwest and northeast of China,and ecological land reclamation is the main reason of its increase,accounting for 77.25%.Reduced zone mainly distributed in Jiangsu,Anhui,Shandong,Guangdong provinces,in other word,the Yellow River-Huaihe River-Haihe River Plain,the Yangtze River Delta and the Pearl River Delta areas,where farmland transferred to construction land is the main reason of its reduction,accounting for 69.20%.
  • ARTICLES
    ZHENG Wenwu, TIAN Yaping, ZOU Jun, DENG Yunyuan, LIU Xiaoyan, DENG MeiRong
    2010, 12(5): 628-633.
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    Quantification and spatialization of human activity intensity are the key and difficult problems of geography,ecology and resource science as human activities are considered.There are two kinds of methods to resolve these problems,the first is by statistic data and statistical methods,and the other is by geography information data(such as traffic data) and spatial analysis methods,but the satisfied result can not be obtained from these methods.A new method that combines statistic method and GIS spatial analysis was proposed,and it was used to simulate spatial distribution of human activity intensity of Hengyang basin in southern China.The main conclusions were:(1) there are two regions of high human industrial activity intensity,one is the urban area of Hengyang city and the other is west-east band composed of Qidong,Changning and Leiyang,and the low human industrial activity intensity looked like a circle that is composed of Hengnan,Hengshan,Hengyang and Hengdong;(2) the agricultural activities decreased from north-west to south-east;(3) the difference of traffic activities of different regions was small;and(4) the total human activity intensity of the study area was small but the difference among regions is obvious,the area with the maximum value located in urban region of Hengyang city and the surrounding of it,and Hengdong got the minimum value.Some tactics should be taken to adjust human activities in the study area,such as developing industry in northern region,strengthening the impact of urban region on neighboring regions,and controlling the practice of agricultural production in north-west regions.
  • ARTICLES
    SHEN Jingwei, WU Mingguang, LV Guonian, WEN Yongning, ZHANG Hongping
    2010, 12(5): 634-640.
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    The seamless integration of the aboveground,ground and underground objects is the research focus at home and abroad.Taking CD-TIN as a link and B-Rep-TIN-TEN as core data model,a new method is proposed for the integration of the aboveground,ground and underground objects based on the simplex theory in point set topology.The well-known B-Rep is used to represent complex above ground objects.Terrain is modeled by TIN,and geologic object is represented by TEN.An improved incremental insertion point method is proposed.In contrast with the traditional incremental insertion point method,this algorithm enhances time efficiency largely.The comparison result is listed in this paper.CD-TIN is constructed to integrate terrain points and aboveground entities which are represented by B-Rep model.Firstly,the boundary of above ground objects,which are taken as the constraint,is calculated.Secondly,the terrain points are constructed to form TIN.Then,the constraint elements are added to rebuild TIN.CD-TIN construction process includes three steps: the search of the constraint region,the triangulation of the polygon,and an overall Delaunay triangulation of the TIN based on the "half-separated additional characteristic point inserting technique" method by adding virtual point on the constraint line.The stratums are partitioned by CD-TIN firstly and the adjacent stratums form the top boundary and bottom boundary.Moreover,the side boundaries are also constructed to form the empty cell in the 3D space.The empty cell is the partition space of TEN.This can ensure TEN are in the empty cell and don't over the boundary.And,the empty cell is partitioned by TEN.At last,a prototype is implemented and developed under the Visual Studio.NET 2008 development environment combined with OpenGL technology to testify the algorithms,and the results are showed.The seamless integration of buildings,terrain and geology are implemented.
  • ARTICLES
    ZHANG Jing, LI Lelin, JIANG Wanshou
    2010, 12(5): 641-648.
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    The automatic building reconstruction from LIDAR data has been a hot issue for several years.Many methods and algorithms have been put forward to reconstruct the models of simple buildings,such as of flat roof,gable roof,or other rectangular shape.But it remains an open problem for the reconstruction of complex buildings.In this paper,a new idea is introduced to process the complex buildings.It is based on the contour clustering analysis of LADAR data and a bottom-up method using data-driven processing.Contours contain the shape information of object boundary,and they are closed,complete,and having explicit topological relationships among each other.So we can use these valuable characters to guide the building reconstruction.In this paper,a concept of contours cluster is introduced,which is based on the following observations: the contours of a building are usually very similar to each other in every part of the building;the nested similar contours are defined as a cluster of similar contour.The contour cluster reflects the detailed feature of the corresponding object.Analyzing the shape differences among contours clustering,the different parts of the whole complex building can be found out.So we can say,contour clustering is very useful,and is the core of the method.The process includes 4 main steps.Firstly,the LIDAR point is pre-processed,and the Delaunay mesh is constructed with the processed LIDAR points and the initial contours are traced.Secondly,some shape features are used to distinguish the contours on buildings or on other objects.With thresholds of contour length and area,some contours of vegetation can be removed.Thirdly the topology relationship and similarity relationship between contours are analyzed.Based on these relations,the contours are clustered to form the parts of buildings.At last,the building model of different types can be reconstructed from the clusters of contours.To test the approach presented above,2 experiment data with representative building models are applied.The results show our method has following advantages:(1) the closeness of contours can effectively avoid the difficulty of edges grouping in conventional reconstruction methods;(2) using contour cluster analysis can extract different hierarchical structures of the complex building;and(3) even curved surface buildings can be correctly constructed using our method.
  • ARTICLES
    CHENG Lin, WANG Meiling, ZHANG Yi
    2010, 12(5): 649-654.
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    Path planning is a process to find the optimal path from the starting node to the destination node.Tens of algorithms have been designed to resolve the shortest path problem,in which the Dijkstra algorithm is always thought to be the most mature and classical one.However,its higher time complexity greatly restricts its practical application.Besides,for most path planning algorithms,the road network is considered as an ordinary plane network and the spatial distribution characteristics are ignored,therefore,the path planning algorithm can not do well in real road network.In order to improve the searching efficiency of the traditional Dijkstra algorithm and to meet the requirement of real-time vehicle navigation,a path planning algorithm based on SuperMap is designed by utilizing the network editing function of SuperMap GIS platform.Firstly,with the spatial distribution characteristics,a road network is built in SuperMap.In this process,we take three-dimensional transport and one-way road network into consideration,making the road network built in SuperMap able to reproduce the real road network.For three-dimensional transport,we set the parameters of non-broken lines and make sure the roads not in the same plane have no intersections;for one-way roads,the forward resistance and reverse resistance are set with different weights.Secondly,in order to improve the searching efficiency of the traditional Dijkstra algorithm,we propose a method to restrict the searching area.According to the coordinate relationships of the starting node and the destination node,we create a hexagon area,which contains the staring node and the destination node,as the restricted searching area,and make the algorithm able to search the shortest path within the restricted searching area on the theoretical basis of the classic Dijkstra algorithm.Thirdly,based on the actual needs,the path planning algorithm with certain constraints is designed.The constraints are prohibit a certain way and must pass through a certain point.At last,we apply the algorithm proposed in this paper to urban road network and compare it with traditional Dijkstra algorithm.The results show that,due to the searching area is restricted reasonably,the two algorithms get the same shortest path,but the time spent by the algorithm proposed in this paper is much less.Besides,the algorithm proposed in this paper can do well in path planning with constraints.Thus,the improved Dijkstra algorithm based on SuperMap GIS has a strong practicability,and can be used in real-time vehicle navigation.
  • ARTICLES
    DENG Min, XU Zhen, ZHAO Binbin, LIU Qiliang, XU Feng
    2010, 12(5): 655-661.
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    Cartographic generalization is an important approach for the production and updating of multi-scale maps.Maps with different scales contain different amounts of spatial information.From the view of spatial information transmission,cartographic generalization may be regarded as a process of information transmission from a larger-scale map to a smaller-scale map.Currently,the scholars from the international cartographic association pay more attention to the algorithms of cartographic generalization.However,there is still a lack of quality assessment for the results by different generalization algorithms.For this purpose,the information theory is utilized in this paper to build a comprehensive transmission model for the geometrical information of individual spatial objects from a larger-scale map to a smaller-scale map,where the transmission ratio of geometrical information is utilized to measure the quality of generalization algorithm.Obviously,the description of geometric complexity for a spatial object is very key to further measure its geometrical information.In this paper,three geometrical indictors,i.e.,angle,vertical distance and length,are taken to express the complexity of individual spatial objects in the process of generalization.On the basis of this,the computation method of geometric information for individual spatial objects is developed,where mutual information as a measure is employed to depict the geometrical information.In the process of implementation,the Shannon communication model is at first given based on the information theory and three information measure indicators(i.e.,information entropy,conditional entropy and average mutual information) are described and used to measure map information.The transmission model of map information is further developed according to the process of cartographic generalization after a simple introduction of communication characteristics of cartographic generalization.On this basis,a general computational model is proposed for individual spatial objects(i.e.lines and areas) to track their geometrical information transmission with cartographic generalization,and the quality of transmission is evaluated by using three quantitative indictors,i.e.,information transmission ratio,information loss ratio,and information incrementation ratio.It is shown by a practical example that the proposed transmission model is valid and correct.
  • ARTICLES
    LI Yongchao, YANG Yuanfei, LI Yi, LI Xiaojuan, GONG Huili
    2010, 12(5): 662-667.
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    Basic education includes early childhood education,primary education,general secondary education in China.As Beijing's rapid economic development,population growth and great improvement of people's living standards,the need for education quality and teaching resources become increasingly strong and the impartiality and balanced development of basic education have attracted more and more attention.Although balanced development of basic education rely more on policy of educational authorities and the policy-making should be done on the basis of the actual situation of development of basic education,but the public need to know how the basic education is now first,so we need an Evaluation System to do this job.Researchers had set up some evaluation systems by using statistical methods,but these index systems are not so good,because its results always were just numbers or text which made decision-makers difficult to grasp the whole.The GIS technology,with its powerful ability of analysis,management and display spatial data,can be a good solution to this problem.So this paper used GIS technology and statistical methods to set up evaluation system base on the actual situation of Beijing's basic education which includes the education resource index and the education quality index.And the other 10 elements constitute the Secondary Index(including students' average budget expenditure,students' average floor area,students' average book number,students' average education assets,senior teacher ratio,qualified teacher ratio,student promotion rate,graduation rates,outstanding students ratio,eligible students ratio).As for the method,we use Difference Coefficient.And then we use ArcEngine components and.Net technology to programming implement the index system,so we can evaluate the balance situation of basic education of Beijing based on basic geographic information database and basic education resource database,and provide decision support for Education Management Department by showing decision makers the evaluation result in form of vivid charts and thematic maps.
  • ARTICLES
    TENG Cong, CAO Wen
    2010, 12(5): 668-673.
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    In the past two decades,along with the fast development of computer technology,high performance computing was applied to lots of scientific and engineering fields and resulted in significant breakthroughs.For example,successful decode of DNA in biology,oil exploration in geography etc.,all of which could not proceed so well without the help of high performance computing.Tourism businesses are developing very fast in China,more and more new tourist attractions are coming out in many places.In the meanwhile,it accumulated a large amount of data these several years.How to efficiently analyze and correctly understand these data becomes an interesting topic.When people travel,they often need to search for the optimal combination of sight spots and the corresponding best travel tour,the shortest driving directions in detail between any two points,the best bus path between any two points in a city,and so on.Now people can get from travel agency or search online in the web for tourism route,but these routes are usually not optimal and made from experiences.There are also some services for people to search for the bus path in a city,but this is often limited,and does not work for any two points in a city.For the shortest driving directions between any two points,we still do not have this kind of services in the range of whole country,though people in U.S.are used to searching online for driving directions before going out..In this paper,we try to solve all these problems.We propose several algorithms to design the optimal combination of sight spots by filtering tourist attractions,and the main method is by listing all maximal cliques.We then compute the optimal travel route on this combination.This will then help people to choose their attraction spots to visit and get the best tour.For other problems which people often encounter in travelling such as how to get the shortest driving directions between any two points,and optimal bus path when using public transportations,we discuss the existing algorithms and propose the practical solutions.All algorithms proposed in this paper are suitable for large scale settings such as applying to millions of tourism sight spots to list all optimal tours etc.The key point is to deal with very large amount of data,for which we must adopt high performance computing.In the end of the paper,computational results are discussed and concluded that our algorithms and designs are suitable for real applications,this will make it much easier for peoples' life.
  • ARTICLES
    ZHAO Yanqing, CHEN Rongguo, YUAN Lin
    2010, 12(5): 674-679.
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    Because spatial data has the features of spatial position,unstructured,spatial relationship and vast amount etc,memory access performance on spatial data becomes one of the most important indexes for geo-spatial database evaluation.BeyonDB,researched and developed under the support of National "863" Program,is the geo-spatial database system with independent intellectual property rights.Because at present,there is no software supporting performance comparison test of geo-spatial database and in order to objectively assess its performance index,it is necessary to design,research and develop a kind of performance comparison test software of geo-spatial database.Functional objectives of performance comparison test software of geo-spatial database are firstly analyzed in the paper,i.e.to support performance comparison test between BeyonDB and international leading geo-spatial database system,meanwhile,it can simply extend into other geo-spatial database;to support performance test of loading and inquiring of spatial data;to support testing methods of both SQL sentence and test script,and test report should be automatically generated and output based on "Template" method.As to performance comparison test software of geo-spatial database,we adopt object-oriented design philosophy and method,rationally use software design pattern.General framework design of the software and detailed design of main control,function command interface,access interface of spatial data and output of test results etc.are provided in this paper.After completing the design,we put forward methods of realizing functions of the software,development tool,main interface of the software,output interface of test results and other results.At present,the software has been successfully applied to performance comparison test between BeyonDB and Oracle Spatial,BeyonDB and PostGIS,which greatly improves test efficiency and enables test results to be objective and impartial.Finally,future research emphases of the software are defined in the paper.
  • ARTICLES
    HE Yawen, SU Fenzhen, DU Yunyan, XIAO Rulin
    2010, 12(5): 680-686.
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    In view of the distribution of massive marine environment information,the multiplicity of information type and format as well as complicated procedure,by researching the geographic information system,the grid technology,the Web service technology as well as the remote visualization technology,firstly,this paper has discussed the system construction and key technologies of the marine environment information grid service platform.Secondly,the prototype system of marine environment information grid service platform has been realized,taking the Argo data,the sea surface temperature data and the Sea Flow Field data as the empirical data,and taking the South China Sea as the experimental zone.The experimental environment consists of three web services nodes,a web services resource management center and an application service platform of marine environment information in the South China Sea.Node 1(provide web services of Argo data and sea flow field data),node 2(provide web services of sea surface temperature data) and node 3(provide web services of application models) and the application service platform of sea surface temperature information are arranged in the Institute of Geographic Sciences and Natural Resources Research,Chinese academy of science.The web services resource management center is arranged in the Northeastern University.This prototype system has provided reference for users on making full use of each kind of marine environment information and existing equipment,improving work efficiency and reducing duplicated investment,solving the problems in heterogeneity,distribution,and efficiency triggered by networking,and providing users with transparent,"One-stop" Web applications on marine environment information.On the platform,heterogeneous and distributed marine environment is encrypted,decrypted and monitored,and hence interchangeable according to international standards.Simultaneously the feasibility and practicality of the above technical solution has been well tested.
  • ARTICLES
    MO Hongyuan, WANG Yingjie, LUO Bin, YU Zhuoyuan
    2010, 12(5): 687-694,699.
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    Land planning is a comprehensive strategic deployment of land resource development,use,harness and protection;it gives geographical expression to the economic,social,cultural and ecological policies of society.The traditional means of land planning management have no longer met the requirement of the information construction for land planning management.Geographical Information System is any system that captures,stores,analyzes,manages and presents data that is linked to location.GIS is a powerful tool of spatial analysis,and computer networks can convey information and share resource very quickly.As a result,considering the characteristics of land planning,combining with GIS and network technology,this paper presents a GIS-based information system on the planning management at provincial level.Taking the Land Planning Management Information System of Guangdong Province as an example,this paper introduces the design principle,system structure and system functional modules in detail.The system contains Browser/Server based land data reporting system and Client/Server based land evaluating and analyzing system.It can help to carry out land planning,enforce land planning monitoring,and give a resolution to conflicts in land planning.Furthermore,it integrates multi-source land information to build provincial,prefecture and county level land information.It constructs and updates geographical base map of land planning,and gives technical support for land planning management and decision making.Land Planning Management System of Guangdong Province is designed and built with the final completion of the project.The construction of the system improves planning level of Guangdong,and gives an important guarantee to land planning project of Guangdong.The system satisfies the needs of the planning and different user groups,and coordinates the conflicts of land planning and other planning.Meanwhile,it gives an example to other provinces to build land planning management systems of their own.In light of the results and limitations of this study,some directions are provided for future researches.
  • ARTICLES
    LI Chunyan, YANG Cunjian, ZHOU Qilin, BU Zhiqiang, WANG Qin
    2010, 12(5): 695-699.
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    Forest resources are extremely important natural resources.Using 3S(GIS,RS,GPS) technologies,database technology and network technology to establish forest-fire information system has significant benefits for reducing the loss due to forest fires.In this paper,taking Suining City,Sichuan Province as an example,forest-fire prevention information system of the city has been designed with the preliminary structure and functions,which is under the environment of C #,ArcEngine,SQLsever and ArcSDE.Its data source mainly includes topographic maps at the scale of 1:10 000,forest resource inventory data at the scale of 1:10 000,meteorological data from stations,firefighting forces data,forest fire observation station data,firefighting materials data,forest management institutions data,economic census data at village or township level,and remote sensing images.This system's major functions include processing and managing data,assessing forest fire risk level,monitoring forest fire,modeling and predicting forest fire trend,analyzing the best path for extinguishing forest fire,making the plan for extinguishing forest fire,making the decision of fire extinguishing,assessing the disaster damage,making the decision of post-disaster reconstruction,and making the relevant graphs,charts and reports.The SQL Server 2005 database system and ArcSDE9.2 spatial database engine are used to manage the database of the system.The components from ArcEngine are used to develop the system functions under the Microsoft Visual Studio 2005 environment.The establishment of the forest fire prevention information system has great significance in preventing forest fire and managing forest resources.
  • ARTICLES
    JIN Bei, LIU Xuejun, ZHEN Yan, LI Haoshu
    2010, 12(5): 700-706.
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    Slope length,which describes the distance of flow path from origin point,is often a vital terrain parameter in soil and water conservation,soil erosion and environmental assessment studies.A common method of obtaining estimates of slope length is based on flow directions from grid-based Digital Elevation Model(DEM) in Geographical Information System(GIS) software.This method leads to slope length estimates with variable accuracy,which depends on DEM error,DEM resolution,algorithms of flow direction and distance measurement.Error and resolution are determined for a given DEM,leaving only algorithms of flow direction and distance measurement.This thesis focuses on the effect of these two uncertain factors on slope length which is derived from DEM.Based on a series of rigorous calculation on a DEM of simulated gully network,the paper finds that the model of slope length in ArcGIS software is not suitable to calculate the slope length because the flow direction derived from D8 is deterministic and this makes the flow route become discontinuous.Although the error by which distances are calculated over raster structures is less than 8.9% and can be improved by statistical methods such as distance transforms,any method that used to low this error is meaningless if the flow direction is wrong.In order to test these conclusions,we applied non-cumulative slope length algorithm in the platform of ArcGIS for two different typical DEMs,including a sample data in ArcGIS and a 5m grid cell DEM of Jiuyuangou drainage basin in North Shaanxi Loess Plateau.Comparing with the lengths obtained from contour map,the former conclusions are verified.So,it is necessary to develop a new flow direction algorithm with vector character in order to improve the estimate accuracy of slope length derived from grid DEM.
  • ARTICLES
    XU Min, CAO Chunxiang| CHENG Jinquan, WU Yongshen, XIE Xu, LI Xiaowen
    2010, 12(5): 707-712.
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    The influenza A(H1N1) pandemic was root in the gene mutation of swine,so it is also called "swine influenza".Since the introduction of the first case of H1N1 in China,the epidemic had been rapidly spreading over most provinces of the country in several months and would present a situation of large broken out.The paper analyzed the pandemic H1N1 influenza A in Shenzhen,China during May 26,2009 to November 15,2009.The data of cases rooted in the direct network reporting system for infectious diseases.First,the statistic cases were analyzed according to gender,age and vocation of the sufferers,which shows that the age of sufferers is mainly clustered in the rank of 10-20,more than half of the total cases,and the vocation which has the most infectors is student.Then,temporal distribution in the unit of daily cases was analyzed.The morbidity had been in a relative low level in the beginning 3 months.It suddenly increased rapidly in September and reached the peak on September 6th 2009.That's because early September is the time that students got back to school,the mutual infect among students led to the rapid increase of H1N1 influenza A cases.Finally,the data of cases was processed by GIS.The sufferers' home addresses were selected as the basic units of geo-coding and google earth tool was used to find the longitude and latitude of each sufferer.The retrospective space-time permutation scan statistic was employed to detect the space-time clusters.The longest incubation period of 7 days was chosen as the maximum temporal cluster size and the maximum spatial cluster size is defined 10 kilometers,approximately equal to the north-south distance of central Shenzhen city.The result shows that the space-time clusters of H1N1 influenza A in Shenzhen City are mainly in the northern areas which border with Hong Kong during early September.The come-and-go between Shenzhen and Hong Kong are very frequent,which caused that the epidemic in Hong Kong affect that in Shenzhen a lot.Thus,the government should enhance the control of virus in the customs between Shenzhen and Hong Kong.
  • ARTICLES
    LU Juan, TANG Guo-an, JIANG Ping, WU Wei
    2010, 12(5): 713-717.
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    Geographic data collection is very basal and important for GIS.Some specialized data,such as cases,warning instances and so on,can't be collected by remote sensing,map digitization or other general geographic data acquisition method,and many public security service information collection methods about spatial locations don't require the accuracy as the same as the professional surveying and mapping.So,these data are collected usually through labeling on electronic map manually.However,the general manual collecting methods manage the geographic information independently,lacking of correlation and inheritance.Because public security service information and the management method about these data are multiform,and there are high correlation and strong artificially specified relationship between many data,research on a new manual acquisition mode about geographic data is particularly necessary.According to the business characteristics and the acquisition mode,public security service information is divided into independent information and information with associated data.So the concept about main layer and sub-layer is presented,and a method about geographic information association acquisition based on the electronic map manually is researched.Not only can this method ensure many geographic data which have the same spatial location are the same coordinate in the memory and the inheritance of the properties,but also get certain accuracy and realize specified association between many geographic data.This association acquisition method can greatly reduce the workload in the manual data acquisition,make the association relationship between the data more clear and accurate,and meet the geographic data collection,management needs in public security bureau.
  • ARTICLES
    LIN Hui, CHEN Fulong, JIANG Liming, ZHAO Qing, CHENG Shilai
    2010, 12(5): 718-725.
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    Large-scale Man-made Linear Features(LMLFs),resulting from nature remarking,have played an essential role in physical distribution and energy transportation.Though with a wide extension,those linear features primarily concentrate upon infrastructure field,including dams,bridges,highways,railways,metro-lines and pipes.As the development of spaceborne SAR technology,multi-baseline Differential SAR Interferometry(DInSAR) overcomes the spatial/temporal decorrelation and mitigates atmospheric effects in DInSAR procedures,revealing competent for large-area deformation measurement with millimetric-centimetric accuracy.This technology is capable of achieving temporal evolutions,which is significant for the stability management of observed features.In this paper,the LMLF's deformation phenomena,causes and derivative hazards are firstly described.After that,the multi-baseline DInSAR methods are applied for their ground deformation monitoring.Multi-source SAR data,including ENVISAT ASAR(Guangzhou),PALSAR(Lantau Island,Hong Kong),TerraSAR-X(Shenzhen),are used for experiments,the capabilities of the Permanent Scatterers(PS) method and Coherent Targets(CT) method are analyzed.The results demonstrate that,with different interferometric image pair combinations,the PS method is more suitable for the large number of SAR images because of the applied single reference image strategy,and vice versa.Generally,the wave penetrability and critical normal baseline increase with the wavelength.Therefore,when low coherent regions are encountered,the longer wavelength SAR data,such as L-band ALOS PALSAR,are preferred to generate high quality inteferograms,bringing about robust ground deformation results;in contrast,the short wavelength data are selected for high coherent areas,such as TerraSAR-X and ENVISAT-ASAR,to retrieve deformations with high accuracy.Taking the geometric and scattering characteristics of LMLFs into consideration,four viewpoints including thematic layers and GPS observation data,SAR images selection,PS candidates extraction and model improvement are discussed for deformation monitoring using multi-baseline DInSAR methods.Finally,from the experiments and analysis,one can conclude future works should be carried out especially in LMLF-oriented DInSAR model development.
  • ARTICLES
    QU Peiqing, SHI Runhe, LIU Ke, ZHANG Huifang, GAO Wei
    2010, 12(5): 726-732.
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    Urban heat island has close relationship with urban environment and global climate change.Using meteorological observation data to study urban heat island is usually to calculate the difference of the mean temperature between rural meteorological stations and urban ones.Therefore,it is important to distinguish the urban stations from the rural ones correctly,which directly affects the accuracy of urban heat island research.Previous classification methods,usually based on population census data of administrative regions,did not consider the spatial distribution of population.The city's large population cannot reflect the situation around the station,which may lead to wrong results.In addition,it is subjective to designate rural and urban stations by manual interpretation based on remote sensing and land use,which cannot reflect the combined action of land use to meteorological stations.In this paper,BP artificial neural network was employed to build a nonlinear model between the land-use types within 5 km around the meteorological stations by remote sensing and their rural/urban property.And the model was tested by population grid data obtained from remote sensing and statistical data.The simulated result fitted the stations' rural/urban property well.This model avoids the limitation from administrative regions' population census data and reflects the combined action of land use to meteorological stations.Furthermore,this model can combine the strengths both of the density of population and land-use types by a further analysis.In order to test the temperature difference between city and rural stations,we make a temperature comparison between some city stations and the surrounding rural stations.The difference is obvious.At the same time,we build the background temperature of Anhui Province in 2000 by rural stations classified by the model.Compared with the background temperature,city temperature is averagely approximately 0.4℃ higher.This model can be adopted in lager areas and even for the whole country,where has the characters of larger coverage and shorter time of remote sensing images.
  • ARTICLES
    LIU Feng, ZHU A-Xing, PEI Tao, QIN Chengzhi, LI Baolin
    2010, 12(5): 733-740.
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    Soil is the most basic and most important resource for the living and development of human beings.At present,there is an urgent need to obtain accurate soil spatial information for environmental modeling and agricultural applications.The theory of soil-landscape relationships relates difficult-to-measure soil information,which includes soil type and properties,with some easy-to-obtain soil-forming environmental factors.This makes it possible to infer soil spatial variations from the easy-to-obtain environmental factors.Satellite remote sensing techniques generally serve as auxiliary tools for researches on soil spatial information extraction.The techniques can be used to acquire landform and vegetation data.Then,based on their relationships with soil conditions,soil spatial variation can be derived.In areas with median to strong landform gradient,easy-to-measure landform and vegetation factors have played an important role in soil mapping.However,for the plains and topographically gently undulating areas,where spatial variation of soil properties such as soil texture usually cannot be effectively indicated by the landform and vegetation,a scientific problem is how to reveal spatial variation of soil properties.This paper presents an approach to using land surface dynamic feedback captured by high temporal resolution remote sensing over a short period immediately after a major rain to distinguish soil texture over such areas.The results of this study showed that land surface dynamic feedbacks captured by high temporal resolution remote sensing can be used to identify spatial variation of soil texture.Locations experiencing different soil texture have obviously different dynamic feedbacks,and the more similar the soil texture between locations the more similar their dynamic feedbacks.The findings are very encouraging.The work reported in this paper provides an effective solution to the difficulty of identifying soil spatial variation over low relief areas.It exhibits the potential of high temporal remote sensing on the exaction of soil information.