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  • 2010 Volume 12 Issue 1
    Published: 25 February 2010
      

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  • ARTICLES
    ZHU Yunqiang, SUN Jiulin, LIAO Shunbao, YANG Yapeng, ZHU Huazhong, WANG Juanle, FENG Min, SONG Jia, DU Jia
    2010, 12(1): 1-8.
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    The Earth System Scientific Data Sharing Network(ESSDSN) is one of the key programs of Scientific Data Sharing Project in China.It is very important for global change and earth system science research as well as national macro strategic decision-making and socio-economic sustainable development.For scientific data sharing,there are two key technologic issues should be solved,i.e.distributed & asynchronous data resources integration and one-stop sharing service.Firstly,the ideal of "founding Earth System Scientific Data Sharing Union by co-constructing and co-using" is put forward.And also three-level organization mode,head center-sub centers-data resource sites,is designed.From the viewpoint of technology,it adopts the method of centralized management for metadata and separate management for data body to integrate distributed data resources.Specially,in order to describe multi-discipline data resources,different metadata standards are used.However these metadata standards should be interchanged with each other.So the core metadata standard and extension method are researched using MVC(metadata standard schema,metadata view page,metadata handle control functions) mode to uniformly handle and visualize these different metadata standards.Finally,the distributed Earth System Scientific Data Sharing System(ESSDSS) is designed based on SOA(Service-oriented architecture).It is divided into three logic tiers,i.e.data resources tier,business function tier and web services tier,and implements interoperability by web services.ESSDSS has been deployed in one head center and 13 sub centers to form a distributed and one-stop Earth System Scientific Data Sharing Network(ESSDSN).Up to Dec.2009,ESSDSN has integrated about 18TB data resources including 5 spheres of earth system and provided about 25.59TB data for many users freely.
  • ARTICLES
    ZHNAG Xueying, LV Guonian, LI Boqiu, Chen Wenjun
    2010, 12(1): 9-16.
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    A geographic information system(GIS) integrates hardware,software,and data for capturing,managing,analyzing,and displaying all forms of geographically referenced information.Addresses are one of the most popular geographical reference systems in natural languages.Address geocoding is considered as the most effective approach to bridging the gap between business data in management information systems(MIS) and GIS,which supports geospatial information visualization and spatial analysis.Chinese address geocoding faces three significant problems,i.e.address models,address resolution and address matching,because of the un-standardization of Chinese place names and the shortage of national address databases.Address resolution aims to automatically split address strings in natural language into address units without semantic incompletion.It plays a fundamental role in address models and address matching.Previous research focuses on rule or gazetteer based approaches,which are easily implemented but with poor coverage and performance.In theory,Chinese address resolution is similar to word segmentation in Chinese natural language processing.Based on the investigation of large-scale Chinese place names and address syntactic patterns,this paper identifies primary and secondary general characters that represent a variety of address units.And then an address numerical representation method is presented to induce syntactical rules of Chinese addresses.Finally,we develop an RBAI algorithm for implementation Chinese address resolution and illustrate an example.The experimental results indicate that the proposed approach can achieve satisfactory efficiency and effectiveness for large-scale data processing,the accuracy ratio over 92% and the processing rate over 2,800 items per second.The proposed approach and system can be extended to such fields as land management,asset management,city plan,public security,postal system,taxation,public health management and other location-base services.
  • ARTICLES
    FENG Yongjiu, TONG Xiaohua, LIU Yan, LIU Miaolong
    2010, 12(1): 17-25.
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    As a complex non-linear and dynamic process,full understanding of the urban morphology and evolution mechanism requires modelling.Due to its abilities of simulating and predicting a complex system,cellular automata(CA) have been increasingly used to capture the nature of urban evolution since the pioneering work of Tobler.More recently,intelligence methods were widely adopted to optimize geographical CA models.The similarity between the nature of self-organization of particle swarm optimizers(PSO) and the "bottom-up" approach of cellular models makes it particularly suitable for optimizing transition rules.Based on automatically searching the minimum differences between the simulation results produced by a CA model based on conventional logistic regression method and the actual pattern of urban morphology,this research integrates the PSO method and a CA model to stochastically optimize combination of parameters of CA rules and construct the PSO based CA model for urban expansion and evolution modelling.Based on Matlab,Visual Studio.Net and GIS,the PSO algorithm and the PSO-CA model were successfully implemented.By using the 17 years(from 1989 to 2006) historical remotely sensed images,the PSO-CA model was calibrated to simulate the urban expansion of Jiading District,Shanghai Municipality.Besides,the urban pattern of Jiading District at 2010 was projected with the PSO-CA model.Evaluated with a confusion matrix,the simulation results of the PSO-CA model obtained accuracies of 87.42% for the non-urban category,76.51% for the urban category,82.35% for overall,and 64.31% for the Kappa coefficient,which outperforms the logistic regression based CA model,with accuracies of 84.36% for the non-urban category,71.58% for the urban category,78.42% for overall,and 56.32% for the Kappa coefficient.This research have demonstrated that conventional transition rules were substantially improved by the PSO technique,which also can optimize a wide range of traditional CA models for urban evolution modelling.
  • ARTICLES
    WU Feng, DENG Xiangzheng, LIN Yingzhi
    2010, 12(1): 26-33.
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    With economic growth,eutrophication has become one of the most severe environment problems,including in lake areas.Currently,couples of lakes urgently need decision-making information for the coordination between economic growth and nitrogen and phosphorus emissions controlling.This paper introduces the framework of a multi-regional environmental computable general equilibrium(ECGE) model which is based on the theory of mathematical optimization solution to explore the relationship between economic growth and controlling of nitrogen and phosphorus emissions.A social accounting matrix(SAM) database is created based on the input-output table of 2007 for mainland China and an inter-regional trade matrix is built in terms of the gravity model assumption to support the ECGE model.A case study in Poyang Lake Basin is conducted to extract decision making information for nitrogen and phosphorus emissions controlling in order to avoid the broken out of eutrophication as well as to spur economic growth.Four scenarios are designed based on water environmental capacity and emission factors of each sectors of Poyang Lake Basin and simulated by ECGE model one by one.The simulation results show that the scenario,aiming at the Grade III water quality standards and reducing nitrogen and phosphorus emissions from those sectors with high emission,is the most efficient one among all of the four scenarios in coordinating economic development and eutrophication control.The internalization of external environmental costs under this scenario will reduce nitrogen and phosphorus emissions via increasing of science and technology input and improving on processing technique with economic growth of Jiangxi Province as well as other regions.
  • ARTICLES
    DU Guoming, YU Fengrong, ZHANG Shu-wen
    2010, 12(1): 34-39.
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    Population spatial structure is an important part in urban spatial structure.For more exact modeling population distribution condition and more expressly reflecting population spatial pattern in urban region,with the fifth census data of Shenyang City,in this paper we spatialize population data by using grid calculating,model population distribution by using Geo-statistics,identify population pattern by using DEM models and analyze characters of population distribution.Main conclusions include: population distribution is unbalanced and accumulative in Shenyang City.There are 11 population distribution cores obviously instead of a monocentric pattern.Population distribution is more distinctly localized in the urban heartland.Population distribution is mainly affected by the two nearby population cores.This study implies that characters of population spatial distribution in Chinese cities take on several complexities under market economy system.So the rules and driving mechanism of population distribution in Chinese cities should be further studied.In the mean time,this paper thinks that statistics has shortcomings in studying population spatial distribution in urban region,geo-statistics and DEM models can heighten the theory and application levels of urban geography and population geography when they are applied in urban geography and population geography.
  • ARTICLES
    YE Jing, YANG Xiaohuan, JIANG Dong
    2010, 12(1): 40-47.
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    The gird scale effect is one of the basic issues on population data spatialization.For the demand of all kinds of spatial population data in the fields of resources and environment and global change models,a lot of researches have been done based on remote sensing and GIS technology both at home and abroad.But the models used are mostly on global(such as GPW,1995,5km),national(such as national population database,2000,1km) or provincial scale,and their resolution ranges from 1km to several kilometers.In recent years,there are studies on local distribution of population by using of high-resolution images.For all the researches,both the method of data source selection according to specific application and the analysis on production suitability are deficient.So,many uncertainties exit in population data application,especially in county level and secondary or tertiary rivers.To solve the problems mentioned above,in this article we mainly propose the method of scale effect analysis on population data spatialization.Taking Yiwu City,Zhejiang Province as the study area,using CBERS and IRS-P5 images we extract land use information and build a spatialization model to the statistical population data of rural towns,then get a set of population data gird ranging from 20m to 1km.Moreover,by comparing population data by grid and statistical population data in rural towns,the grid scale effect analysis is made;by comparing population data by grid and statistical population data in villages,the remote sensing data source scale effect analysis is made.The result of scale effect analysis shows: by using CBERS as data source,the suitable grid scale of production is 200m and its precision is 76%;by using P5 as a data source,the suitable grid scale of production is 100m and its precision is 84%.The method of scale effect analysis in spatial distribution of statistical population is argued in this paper and it can provide basic technical solutions and examples to optimum scale selection in the process of humanistic factors(such as population) spatialization.
  • ARTICLES
    DU Chong, SI Wangli, XU Jun
    2010, 12(1): 48-55.
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    The description of a spatial relation is the reflection of human's cognition of spatial objects.It is not only affected by the topology and metric,but also affected by geographic semantics,such as the categories of geographic entities and contexts.Currently,the researches about language aspects of spatial relations mostly focus on natural-language formalization,parsing of query sentences,and natural-language query interface.In these researches,spatial objects are usually abstracted into geometric figures.However,geographic objects are not simple geometric points,lines or polygons.Spatial relation queries that just consider geometry property of objects cannot always meet human's habits of language and cognition.So,in order to get a sound answer according with human cognition in spatial relation query,we have to take the semantic aspect of geographic objects into account.Based on previous work on natural-language formalization and human-subject tests,the functions of the natural-language terms which describe spatial relations are calculated in this paper.Then,we sum up some knowledge about how spatial relations between two different geographic objects with different geographic semantics are represented in natural language,and design a knowledge base to represent these knowledge rules.Finally,using the rules in knowledge base and GIS platform,the prototype of a query system is implemented.The results show that spatial relation queries which take geographic semantics into account can be more in accordance with people's cognitive habits of geographic knowledge.
  • ARTICLES
    ZHAO Dongbao, SHENG Yehua, WEI Yongqiang
    2010, 12(1): 56-61.
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    Map Registration plays a very important role in many fields of GIS.An automated shape-base approach to affine transformation registration of two homonymous vector map features is put forward in this paper.This approach includes two stages which are coarse registration and fine registration.In the first stage,geometry moments are computed only through boundary for polygon features and three pairs of corresponding points are recognized according to some theorems of affine transformation invariants for line features,which will cause that six initial parameters of affine transformation be solved,and thus two map features can overlap with each other roughly according to solved parameters.In the second stage,fine registration is realized by an improved iterative closest points method using a point-to-line metric based on coarse registration result.Experiments show that this algorithm presented in this paper can still achieve a more accurate registration result compared with artificial registration even when there are many slight deformations between shape boundaries of two homonymous vector map features,which mean that it is robust to noise to some degree.Because this algorithm take complicated shape characteristics of map features into account,it is more suitable for registration of vector map features than other methods.After fine registration is fulfilled,homonymous corresponding points can be recognized and matched from shape boundary of vector map features based on registration result,which will lay solid foundation for following entire map registration.
  • ARTICLES
    HU Bin, FENG Jiali, WANG Junshu, WANG Yongjun, WU Jiagao, ZOU Zhiqiang
    2010, 12(1): 62-68.
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    P2P technology can handle the performance issues of centralized architecture,such as single point of failure and hot bottleneck.Raster geographic data service based on P2P technology has been applied widely,but there are many problems when considering how to combine P2P and vector geographic data service efficiently.P2P network model and the corresponding organization of distributed vector geographic data should be especially researched deeply.A vector-oriented P2P hybrid indexing network model,which is based on Chord and Quad structure,is proposed.This model combines the advantages of structured P2P network and hierarchical P2P network.It can not only make good use of Chord network with the merit of load balancing and hierarchical P2P network with high efficient querying,but also adapt to high dynamic network environment.In this work,Linking mechanism is proposed for the first time.This novel concept has two main characteristics: the information need to be recorded is little,which can reduce network load;the reconstructed information is complete and valid.And an organizational pattern of distributed vector geographic data is designed,which is based on Linking mechanism.This pattern forms a loosely and globally distributed topology,according to linking information on each level and topological connection information in derived geometry.This kind of distributed topology supports not only distributed index,lossless and fast reconstructing for vector geographical data,but also the extension of all kinds of vector topological analysis algorithm under distributed environment.Contrast with the experimental results of JTS,we can see that the time used for vector data reconstructing is obviously short because of fewer additional linking information,and the result of reconstruction is lossless and reliable.When the number of tiles is large,the merit to JTS is more obvious.Our results show that the theory about the organization of distributed vector geographic data based on Linking mechanism and the related algorithm are valid,high efficient and robust.And it has a good practical application foreground.
  • ARTICLES
    WANG Tianbao, WANG Erqi, LU Hao, HUANG Yuefeng
    2010, 12(1): 69-75.
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    The WebGIS development represents a natural answer to the growing requests for dissemination and use of geographical information data.WebGIS originates from a combination of web technology and Geographic Information System.The new technology,RIA(Rich Internet Application),is more frequently used to enrich WebGIS in meeting the demand of high interactivity and rich expression in some extent.There were papers introducing the solution of RIA applied in WebGIS such as Flex,but they mainly discussed the architecture,the function model and so on.Base on the research of Silverlight,the combination between Silverlight and WebGIS is presented in this paper.Especially,the authors discussed how to represent geographic information in multi-scale by simulating and improving DeepZoom,which enables smooth loading and panning by serving up multi-resolution images and using spring animation.And then we integrated vector and raster geographical data by making use of XAML(eXtensible Application Markup Language).It would be much more appealing if taking advantage of animation.The algorithm for displaying huge amount of data was also designed,and it improved the performance efficiently.In addition,the key issue of geospatial web services aggregation and web cache was also mentioned.Finally,to evaluate and present results obtained by this work,this paper includes case studies concerning implementation of the idea.The authors believe that WebGIS based upon Silverlight will play a great role in representing geographic information and aggregating geospatial web services in future,and also,it is more effective.
  • ARTICLES
    KONG Yunfeng
    2010, 12(1): 76-82.
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    Web service,defined by the W3C as a software system designed to support interoperable interaction over a network,has been widely used in the internet application development.Considering the potentials of Web service in geographic applications,this paper discusses metadata description of geographic multimedia resources,such as image,audio,video and panoramic picture,and the system design and implementation technologies of geographic hypermedia systems using service oriented architecture.GeoRSS,an emerging standard for encoding location as part of a Web feed,was selected to describe the geographic multimedia resources.In GeoRSS,location content consists of geographical points,lines,and polygons of interest and related feature descriptions.In addition,the detailed video path was created as ArcGIS layer with linear reference of video time,which is used to identify the video frame of a specific location along its path.The key issues in the development of general geographic hypermedia systems are to manage the metadata of geographic multimedia resources,to integrate map data and multimedia data in HTML/XHTML pages or rich internet application using server or client script languages,to design the geographic multimedia player tools in order to meet application needs,and to implement the application systems using standard web technologies such as mainstream JavaScript,ASP.NET or Java.Two prototypes of geographic hypermedia application in campus and regional road management were developed to examine the data models and system design.In the applications,three types of Web services,i.e.ArcGIS Server 9.3 Web mapping services and GeoProcessing services,Flash FMS 3.0 Web video streaming services and GeoRSS XML HTTP services,were integrated to develop the geographic hypermedia systems.The first application was implemented in Google Maps using JavaScript mash up programming.The second was designed in ArcGIS Server 9.3 ADF.NET with hypermedia extension using C# and JavaScript programming.Applications development shows that the geographic multimedia models and system framework introduced in this paper are useful and flexible,and have potentials in professional or public geographic applications.Such geographic hypermedia systems have application potentials in geographical fields.
  • ARTICLES
    HU Zui, LIU Peilin, SHEN Xiuying, LIU Xiaoyan, DENG Yunyuan, CHEN Ying
    2010, 12(1): 83-88.
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    China has so many ancient villages in its long history which owes to the intricate environments and diversity ecology.At first,this paper analyses a lot domestic articles on ancient villages in recent years and draws some conclusion as following:(1) A lot of researchers introduce natural methodology to landscape research.(2) Many technicians use GIS technology to develop GIS-software for ancient village management.(3) Some new methods are used in ancient village tourism planning and there are so many successful examples in this domain.(4) Some researchers analysis traditional thought of human settlement environment,architecture arts and relationship between human and nature in order to help to solve analog problems existing in our era.Professor LIU Pei-ling brought forward a new theory which called "Gene Theory of Settlement Landscape" when he paid his attention to ancient villages some years ago.In seeking for landscape's genes,we analyze the necessary tend to building a prototype system of graphic methodology for ancient villages based on GIS.At the same time,we also probe into the context and senses on using GIS based graphic methodology to research ancient villages.Obviously,the authors prove that there are so many snags lying on this study domain when they try to develop such a prototype procedure.Of course,the authors describe these difficulties carefully and the key technical problems in building such a GIS-program of graphic methodology for ancient village particularly.Moreover,the requirement for the procedure and functional design of a prototype is discussed.The authors argue that the procedure should be comprised of five modules,DATABASE,MAP,SPATIAL,GENE,GRAPHMETHOD,respectively.By using the development toolkit of Visual C++.NET 2003,a prototype program is designed and implemented according to the research aim.Finally,we take WOMAN LANGUAGE of Jiangyong County,Hunan Province of China,which,is probably the merely women's language in the world,as an example to run the program and then to extract gene elements from ancient village landscapes.
  • ARTICLES
    LUO Xiaobo, LIU Qinhuo, LIU Qiang
    2010, 12(1): 89-94.
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    Geometric correction and location error analysis of remote sensing image is an important aspect for image processing of remote sensing.But location error analysis for geostationary satellite imagery is little when scale factor λ is as a variable.In this paper,according to linear array scanning imaging mechanism,we completed the establishment of scan line array geometry imaging equation and location model for geostationary satellite.Then,based on the geometric location model,considering the scale factor λ as a variable,a strict quantitative analysis and theoretical derivation of location error caused by external orientation elements was finished.At the same time,the use of matrix theory and transformation' nature made the complicated process of location error and formula simplified.Finally,according to the location error formula,we have developed a prototype system for geometry location and error analysis of geostationary satellite imagery based on C++.And then,simulation experiments of geostationary satellite imagery from various angles were tried.The experimental results show that: an element error of single exterior orientation and the location error have obvious linear positive correlation;the descending order of exterior orientation elements' impact for location error to center point is φ,ω,α,β,H,κ;the descending order of exterior orientation elements' impact for location error to edge point is φ,ω,H,α,β,κ;From the image center to the edge,location error caused by φ and ω and H increases gradually,location error caused by α and β has a slow decrease;location error caused by κ has a slow increase;When six exterior orientation elements all have the critical error,from the image center to the edge,the integrated location error increases gradually;At the image edge,the rising trend of the integrated location errors is evident.The analytical method and conclusions in this paper provide support to the geometric error characteristics of geostationary satellite imagery,also is valuable to other remote sensing satellite platforms and the geometric correction of remote sensing images.
  • ARTICLES
    ZHAO Xiaoli, YI Ling, ZHANG Zengxiang, WANG Xiao, LIU Bin
    2010, 12(1): 95-102.
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    Land cover of Shanxi Province had been monitored from 1980s to 2005.Based on remote sensing and GIS technique,analysis on spatial-temporal characteristics of land cover change and driving factors was implemented.Results show that:(1)Changing area: Area of industrial and transportation land、rural settlement and a spot of grass land is increasing,on the other side,area of dry land,irrigable land,a spot forest land and bottom land etc is decreasing.(2)Changing speed: Land for urban construction had a very sharp increase slop,and the type which had second fast increase speed was marsh and rural settlement.The order of decrease speed from maximum to minimum is: bottom land,un-irrigated cropland and irrigated cropland.(3)Spatial conversion: The spatial conversion mostly occurred between cultivated land and settlements.Additionally,the increase of land for urban construction includes rural settlements which assimilated by urban expansion.The fraction of xerophilous grassland increase mainly converted from un-irrigated cropland,shrub forest mainly converted to xerophilous grassland,and bottom land mainly converted to water body.The natural environmental factors were stable,and were less important to the change of land cover.However,population,economic,regulating of agricultural structure,policy and transportation play fundamenta1 roles to land cover change.The concurrent correlations analysis finds that: the most important driving factors to Shanxi Province land cover change are rapid economic development and accelerated urbanization process.
  • ARTICLES
    ZHOU Shuling, XU Hanqiu
    2010, 12(1): 103-110.
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    In this paper,we used remote sensing technology to monitor the spatiotemporal dynamics of large developed land areas in the shore areas of the Jin River from 1987 to 2008.The area is a fast economic development region,and therefore has witnessed fast urban expansion and population increase.The study used three multitemporal Landsat images of 1987,1996,and 2008.Firstly,the newly developed normalized difference impervious surface index(NDISI) was used to extract the impervious surface areas(ISAs) from the used Landsat images,because the developed area is dominated by the ISAs.And then,the change detection technique was employed to reveal the change of the large developed land areas from 1987 to 2008 in the studied shore areas.The result shows that during the 21 study years the large developed land area has significantly increased,up to a total area of 18097 ha of new developed lands.Most of them occur in the river shore areas near city center,especially in the downstream to estuary areas of the river.The increased large developed land areas were mainly converted from paddy fields and forested lands.Socio-economic data were integrated with the spatial data to analyze the driving forces to the increase of the large developed land areas.The result indicates that fast economic development,urban population increase,and real estate development were the three major deriving forces contributing to the large developed land area increase.
  • ARTICLES
    WEI Xin, QIAO Yuliang, WANG Peng
    2010, 12(1): 111-118.
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    Taking three periods of remote sensing images(TM/ETM+,in 1990,2000 and 2007) as the main data source,in this paper we firstly select Xiangning County of Shanxi Province which is known as "Coal Town" as the experiment area;then make an analysis and monitoring to basic elements of the ecological environment,such as land use,vegetation coverage,soil erosion and so on.Based on five remote sensing monitoring indexes which aim to evaluate ecological environment,the environmental ecological index(EI) is computed by giving weight to every index.According to the foundation of ecological environmental classification and eco-environment changing rate classification,we make scientific estimation to the ecological environmental condition of the experiment area by monitoring methods of combining GIS and remote sensing technology.Through EI calculation and evaluation in the experimental area,the result shows:(1) from 1990 to 2007,farmland decreases continuously;woodland firstly decreases and then increases,in general,it increases evidently;the area of meadow increases firstly and then decreases,conclusively,it shows decreasing tendency;the construction land increases continuously;and the unutilized land firstly increases and then decreases,conclusively,it shows decreasing tendency.(2) from 1990 to 2007,coverage of high vegetation firstly decreases and then increases,coverage of low vegetation decreases continuously,and coverage of medium vegetation increases slowly;(3) from 1990 to 2007,area in light erosion increases firstly and then decreases,conclusively,it does not have apparent change;the medium erosion area decreases firstly and then increases,conclusively,it shows increasing tendency;and the area in heavy erosion increases firstly and then decreases apparently,conclusively,it shows decreasing tendency;(4) from 1990 to 2000,the ecological environment condition in the experiment area becomes worse evidently,which is due to the increasingly augmentation of construction area,especially those for coal mining;from 2000 to 2007,the ecological environment condition becomes better evidently because of the implement of the policy — "grain for green project;from 1990 to 2007",conclusively,it firstly become worse,then better.This is the necessary result of economy development and social advancement.
  • ARTICLES
    HOU Wei, LU Xuejun, ZHANG Chunxiao, WANG Jing
    2010, 12(1): 119-125.
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    The development of remote sensing technology,particularly with the wide spread of high resolution remote sensing images,and makes the Earth observation more extensively and deeply.Geographic object information extraction and target recognition from high spatial resolution remote sense images are the foundation of image understanding.In high spatial resolution images,the geographic object information is abundant and diverse,and textural feature is prominent.Nevertheless,the noises in high spatial resolution images are also evident and simultaneous.There generally exist such phenomena as "same object with different spectral features" and "different objects with same spectral feature",which resulted in lower classification accuracy,substantial redundancy of spatial data and waste of resources using traditional pixel-based image processing.The object-oriented image analysis method was studied and used for land cover classification in Lixian County,Sichuan Province.Based on the establishment of multi-scale image space and classification rule library,we extracted the spatial distribution information of houses and residential area.The results indicate that the approach is promising and precision of classification is higher than other conventional processes.It can inhibit the "salt and pepper noise" phenomenon which is common in traditional classification and generate new geographic information in GIS-ready format directly.It is obvious that this image analysis approach offers a satisfying solution to extract information quickly and efficiently.
  • ARTICLES
    WANG Junhu, ZHANG Jielin, ZHANG Jingbo
    2010, 12(1): 126-132.
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    Since the sensor of ASTER was launched,low-cost multi-spectral thermal infrared data were available.It injects energy to thermal infrared technology application on many fields.On the basis of analyzing the thermal infrared technology application potential on minerals and rocks,in this paper we apply this technology for extracting of information on granite-type uranium deposits.Taking the granite-type uranium deposits in south china as an example,based on thermal infrared data of ASTER,mosaic,radiometric calibration,atmospheric correction were made and the temperature and emissivity data were separated from the thermal infrared data.Then,we quantitatively retrieve SiO2 content in the rocks from emissivity data by inversion algorithm simulated from different band ratio combination.According to the inversion map view,we can't extract information of small-scale silicification alteration due to the spatial resolution limitation of ASTER thermal infrared data,but the map clearly shows many large silicified fault zones,the distribution area of acid-rocks and the red beds area that have highest content of the silica.What's more,the results conform to the geological facts and they are validated in the field.Above all,the practice proves that information mining technology of thermal infrared data will play an important role in the extraction and analysis of the metallogenic essential factors even in the prospecting target of granite-type uranium deposits.
  • ARTICLES
    WU Hao, WANG Wei, WANG Wenjie, QIN Jianxin, BAI Xue
    2010, 12(1): 133-142.
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    The space-time changes of landscape pattern in Changsha-Zhuzhou-Xiangtan Metropolitan Region have been analyzed in terms of Landsat TM/ETM+ images from 1989,1996,2000 and 2008 based on GIS and RS techniques,with its driving forces discussed.The principle and technique of landscape ecology were used to study the landscape pattern change.Results show that there was a remarkable difference in the area change of various landscape types in nearly 20 years between 1989 and 2008 in Changsha-Zhuzhou-Xiangtan Metropolitan Region.The main change in landscape area is that: the farmland and woodland were changed into built-up area.The landscape types' change rate increased gradually from 1989 to 2008.Landscape change is also obviously in the decades.Totally,landscape number and landscape density increases,the largest patch index decreases gradual,the patch becomes more complexity.From the change of Shannon Diversity Index and Shannon Evenness Index,we know that the diversity of landscape and the Interspersion Juxtaposition Index increase.The patch shape becomes more complex with the increasing landscape shape index.The driving force analysis of landscape pattern dynamics shows that three main human factors played an important role in driving landscape pattern changes in Changsha-Zhuzhou-Xiangtan Metropolitan Region.They are population growth,economic development and guiding effect of policies.
  • ARTICLES
    ZHANG Sumei, WANG Zongming, ZHANG Bai, SONG Kaishan, LIU Dianwei, LI Fang, REN Chunying
    2010, 12(1): 143-152.
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    During past five decades,land use and climate changed substantially in upstream basin of the Naoli River,Sanjiang Plain,resulting in huge hydrological changes accordingly.However,quantitatively distinguishing the hydrological responses to each factor-land use change and climate change,is not an easy issue.In this paper,the impacts of land use and climate change to hydrology in this region were assessed.First,based on the hypothesis of one factor changes slightly,we built the functions that hydrological processes responses to land use and climate change separately and forecasted the hydrological change resulting from cropland change and climate change respectively.Second,the impact of each factor to hydrologic change was quantitatively distinguished and then the hydrological processes driving force model was built based on precipitation and cropland area through least square arithmetic.Last,we gave a forecast model of hydrological processes with both natural and anthropogenic factors.The results showed that between 1956 and 1975,climate had a strong effect on hydrological processes.However,after 1975 the influence decreased gradually.Taking one with another,climate model behaved better to simulate annual average discharge than to simulate the peak discharge.Furthermore,cropland expansion that has being done since 1954 did not bring on significant change to hydrological processes.But comparing with annual average discharge,land use change impacted peak discharge more.Hydrological processes driving force model in this study was fairly ideal and it gave the modeling errors of 0.5 and 1.04,indicating the precision improved highly,which,was in contrast to a single factor model.In addition,the dynamic model performed more suitable for annual average discharge whose precision improved more with the R2 of 0.933.As a whole,hydrologic processes in the basin were mainly affected by climate change,while the effect of land use change was weaker relatively but unneglectable,especially,effect to peak discharge is increasing.