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  • 2010 Volume 12 Issue 3
    Published: 25 June 2010
      

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  • ARTICLES
    SHI Ruixiang, YANG Xiaohuan
    2010, 12(3): 309-314.
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    It was very important to learn the climate background in arable land changed areas of China then to estimate food production,to evaluate the balance of arable land quantity and quality,and to put in practice arable land protection and food security.In this paper,the arable land changed areas were firstly analyzed.Next,annual mean temperature,precipitation and sunshine hours were chosen to analyze the climate conditions in arable land changed areas so as to provide suggestions on land protection and economic development.The results showed that annual mean temperature,precipitation and sunshine hours in arable land decreased areas were 0.45-1.05℃ higher,56.77-79.59mm more and 45.80-98.83h less than arable land increased areas during the four periods from the end of 1980s to 2008.While annual mean temperature,precipitation and sunshine hours in areas with significant arable land reduction were 0.81-1.85℃ higher,85.69-305.26mm more and 86.96-207.85h less than those with significant arable land increase.The core part of China's arable land was gradually moving upward/northward from the end of 1980s to 2008.According to altitude,the arable land increased areas seemed to be about 0.5-1° more northward than the decreased areas,while the significantly increased areas seemed to be about 1-2° more northward than the significantly decreased areas.Otherwise,according to latitude,the arable land increased areas seemed to be about 100-200 meters higher than the decreased areas,while the significantly increased areas seemed to be about 150-350 meters higher than the significantly decreased areas.The difference in precipitation became more and more significant between the arable land decreased area and the increased area as time went on from the end of 1980s to 2008.These conclusions are important help for us to learn grain production,to evaluate the balance of arable land quantity and quality,and to readjust industrial layout in China.
  • ARTICLES
    DAI Shengpei, ZHANG Bo, WANG Haijun
    2010, 12(3): 315-321.
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    In this paper the spatio-temporal variation of vegetation cover in Northwest China and its influencing factors were analyzed by average method,trend line and correlation analysis during 1982 to 2006 using GIMMS/NDVI data.The annual average NDVI has been increased significantly with a rate of 0.5%/10a in Northwest China in recent 25 years.There were some significant spatial differences of the vegetation cover change.The trend line slope of NDVI were higher than 0.0005 in Xinjiang(Tianshan,Artai Mountains),Gansu(Qilian Mountains) and the eastern part of Qinghai,and it indicated the vegetation cover was significant increased in this areas.The trend line slope of NDVI were lower than-0.000 5 in the southern region of Qinghai,Shanxi and Ningxia border region,parts of Gansu and Xinjiang(Talimu Basin,Tulufan,Tahe,Tuoli),and it indicated the vegetation cover was degraded in this areas.The NDVI of woodland,grassland and cultivated land had an ascending tendency during the study period.Studies showed that: the vegetation cover change was caused both naturally and artificially in Northwest China.The temperature rose significantly in past 25 years in northwest China by an average rate of 0.67℃/10a,and precipitation increased by an average rate of 8.15mm/10a since 1986.There was a weak positive correlation between vegetation cover and temperature and precipitation inter-annual changes.However,there was a significant linear relationship between vegetation cover and the monthly average temperature and precipitation during the years.But when the average monthly temperature exceeded 20℃,the NDVI decreased and the correlation coefficient is 0.29;when the average monthly precipitation was 0~100mm,the NDVI increased and the correlation coefficient is 0.63.However,when the average monthly precipitation was more than 100mm,a clear growth trend no longer existed.The improvement in agricultural production and the ecological construction project are the very important reasons to increase the NDVI in Northwest China.
  • ARTICLES
    GAO Fengjie, WANG Zongming, SONG Kaishan, REN Chunying, SONG Ge, NING Jing
    2010, 12(3): 322-328.
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    Starting at analyzing the characteristics of vulnerable ecological system,this paper firstly selected 3 landscape indexes(FI,FD and FN) and 1 eco-environment index of erosion to make up the eco-environment sensitive factors;secondly,it chose ecological suitability as its automatic recovery ability.Thus it built up an Eco-Environment Vulnerability Assessment Model which was used to evaluate the effects of Grain for Green Project(GGP) on the Eco-Environment of Mudanjiang Region,Heilongjiang Province.In the processing,we divided the study area into 463 grids of 10km×10km by the fishnet command in ArcGIS to make the assessment results more intuitively.Calculating the eco-environmental vulnerability of every grid and assigning the value to the center point,we accomplished the value spatialization by Kriging interplating method.The results show that:①No matter before or after the GGP,the landscape vulnerability value from high to low is that:dry farmland>building>paddy field>forest>unused land>water>swamp>grass;②Horizontally,the eco-environmental vulnerability in Mudanjiang Region declines from the high center to low edge circularly;after the GGP,the area proportion of higher vulnerability zone decreases from 21.57% to 17.11% while the lower increases from 63.14% to 67.66%;③Vertically,the extremely vulnerable zone V and vulnerable zone IV separately exist in 200-400m and 100-600m elevation ranges,0-8° and 0-35° slope range,and their area proportions decrease after the GGP;the weak vulnerable zone II and the good eco-environmental zone I exist in >100m elevation ranges,separately in 0-35° slope ranges and every slope range,and their area proportions increase;the general vulnerable zone III belongs to the transitional zone and its changes appears little regular compared to the two formers.In a word,the model suits to the study area and the results show that the GGP relieved the vulnerability in Mudanjiang Region and promoted the environmental quality there.
  • ARTICLES
    HUANG Wanli, LI Hu, LIN Guangfa, YU Shan
    2010, 12(3): 329-335.
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    Land-use type data at different scales expresses different content,transmits different information,and reveals different phenomena and laws.The macro-data at large-scale is usually generalized from many fine data at small-scale.The process of land-use type data generalization caused by type up-scaling was addressed and the methods of land-use type aggregating,merging of adjacent parcels with the same type,small parcels amalgamating,spatial-data simplifying and topology preserving are elaborated respectively.This paper focused in the approach of small polygon amalgamation by skeleton subdivision,which first used constrained Delaunay method to build triangulation network and used the triangulations to build the skeleton lines according to five different types of triangulation and then divided the small polygon using the skeleton lines into many smaller polygons adjacent to different polygons and merged them to the different adjacent polygons.Uses this approach to amalgamate the small parcels which their areas are smaller than criterion,the proportion of different land-use types was roughly the same as before amalgamation;then proposed a polygon simplification method to simplify land-use type polygons,which was based on the Douglas-Peucker algorithm and constructed a balanced line to preserve the same area as before simplification.In order to maintain the topology of the polygons,first divided the polygon into different polylines according to their adjacent relations and simplified them respectively and then rebuilt the polygon with the simplified polylines.The area preserved simplification process first used the Douglas-Peucker algorithm to simplify the polyline and got the smallest simplification unit and within the unit built a balance line to preserve the same area as before simplification.Thus the area and the topology before and after simplification are consistent.The results of the test data showed that the method is suitable for the generalization of land-use type data,and can be used else where when geospatial data were up-scaled.
  • ARTICLES
    CAI Fei., SHAO Xiaohou, WANG Zhenyu, HUANG Mingyong, ZHAI Yaming., ZHANG Lin
    2010, 12(3): 336-341.
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    Soil water characteristic curve is an important parameter for quantificationally studies on soil water movement and solutes transport,and gives a description of the relationship of soil water energy and quantity at different scales.Factors mainly affecting soil water characteristic are soil texture,structure and bulk density.The effect of texture is most significant among these factors.Soil water characteristic curve playes an important role for researches carried out in coastal saline regions.Based on the experiment of drying soil,these data were used to fit the Gardner Model and VG Model.In this paper,soil samples in the profile of 0-20cm,20-40cm,40-60cm,60-80cm and 80-100cm were collected from planting soil in Tianjin Economy and Technology Development Area.The Gardner Model was simplified on logarithm and the parameters were analyzed by linear regressive algorithm.Also the nonlinear simulation function of MatLab was used to determine parameters of the VG Mode1.This paper showed that Gardner Model and VG Model are both adapt to descript soil water characteristic curve of planting soil in Tianjin Coastal Saline Regions.The calculation process of Gardner Model parameters was much simpler than that of VG Model parameters.However,the values simulated by VG Model were better than those by Gardner Model,considering relatively limited error.Meanwhile,it showed that each layer of planting soil profile have the similar fitted curves and water-holding capacity,so as to provide a scientific basis for vegetation recovery and soil water management in the salt land and drain in the north drought region.The result showed that soil texture and structure do not differ greatly between different layers of soil profile.Grasses and plants with shallow roots are suitable in this area,according to distribution of available water in the soil profile.
  • ARTICLES
    ZHANG Shanming, LV Xinbiao, TANG Xiaochun, DENG Guoxiang
    2010, 12(3): 342-347.
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    Mineral resource prediction and assessment(MRPA) is a work finding the best way to explore mineral resource under the uncertain conditions.There are uncertainties in our MRPA due to the diversity of mineral deposit types,the complexity of mineral deposit genesis,the implicitness of mineral deposit controlling factors and the non-unique understanding of the exploration information.Because of the complexity of ore-forming system,multiple characters of ore deposits and limitation of our understanding level,there are uncertainties in our geological information we acquired about the mineral resource.On the other hand,MRPA is a course to deal with this uncertain geological information.And more,MRPA is a complex systemic project and generates uncertainties on each stage.Of course,the uncertainties come from the previous stage can be transferred to the subsequent stage.Finally,uncertainties of technology assessment will result in the uncertainties of economy assessment.Nowadays,mineral exploration is becoming more and more difficult,and economic risk in mining industry is becoming more and more outstanding.Hence,the only way to solve the problem is to improve our MRPA technology.So we must seek some means to measure the uncertainty.This paper discussed the evaluation of information uncertainty in MRPA chiefly.At the beginning,the authors tell something about the characteristic and the nature about the MRPA,and discussed where these uncertainties come from systematically.Then basing on the information processing method of uncertainties in fuzzy sets statistics,the authors gave the general evaluation method of the uncertainties in MRPA.At the end,basing on a particular MRPA job,the authors explained this general evaluation method in the set of Cu,Pb,Zn prediction in the western Dayaoshan,Guangxi,with simple examples.In this paper,besides given a compute method to evaluate the uncertainty,the authors also wish more and more people will pay attention to the uncertainty in our MRPA.
  • ARTICLES
    SHU Feiyue LV Guonian, LU Jing, Sheng Yehua
    2010, 12(3): 348-357.
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    The aim of establishing spatial data model is to reflect the real world.However,the spatial data model of main GIS systems only reflect knowledge of management and manipulation objects in field of cartography,such as point,line and poly geometry objects.In this paper,comparative studies showed that domain knowledge of land management spatial concept covers knowledge of geometry.Knowledge of geometry is one of land management domain knowledge that can be identified by the geometric characteristics of attribution.Therefore,it is reasonable to rearrange the domain knowledge of land management spatial concept as object-oriented knowledge,establish object components which are equivalent to knowledge of geometric object and to extend object-relational spatial data models.The aim is to establish a type of spatial data model named "[the domain spatial knowledge object] + [GIS point,line and plane geometric object]+[extension property]".The benefits of this model include simplification of operations in database management,reduction of requirements for domain knowledge of cartography stuff,easing the degree of coupling between instance of spatial objects and their corresponding attributes,reducing the effect of data source caused by government policies,and improving data stability and the degree of data sharing.Based on the model,a kind of data checking subsystem in "515" urban and rural cadastral system is established.The practices of using the "515" urban-rural integration of cadastral survey data warehousing inspection work in Zhenjiang,Jiangdu and many other cities and counties showed the reliability of the model designed in this paper.It also had a good performance and provided a new spatial data model for the thematic GIS spatial data management.
  • ARTICLES
    GAO Liling, LI Xinhu, WANG Cuiping, QIU Quanyi, CUI Shenghui, ZHAO Qianjun
    2010, 12(3): 358-364.
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    We often run into the problem of how to distribute sample points in the process of social survey.Traditional spatial sampling theory is primarily used in single-target.However,social survey questionnaires sometimes are multi-objective.And some objectives are attribute data,for example,a survey related to people's age,education and other social information.Therefore,we should make some improvements based on traditional sampling methods to meet current requirements.Depending on the idea of multi-object and spatial variation,we make a multi-objective survey in this study.In order to meet the need of sampling in the questionnaire survey of Xiamen Island's settlement,we use the sandwich spatial sampling model,balancing the cost of sampling and sampling precision.In general,we adopt three methods: simple random sampling,spatial stratified sampling and sandwich spatial sampling.After comparing of those three methods,the results showed that:(1) When prior knowledge is not sufficient,the result by means of simple random sampling is more reasonable.But when there is sufficient prior knowledge,stratified sampling in space can make more representative samples for the sampling,and also can improve the accuracy of sampling.(2) The distribution of sample points of spatial stratified sampling is primarily related to stratification.The higher the stratified level,i.e.the higher the complexity of the regional,the more the number of sample points is.(3) By comparing the results of spatial stratified sampling by integrated factors and by experts,we can see that stratified sampling is directly or indirectly related with the stratifying process,the rationality of the stratifying design affects the rationality of sampling results.So,in the process of spatial stratified sampling,the rationality of stratifying design is very important for the stratified sampling.The objective of this study is to provide a basis for the sampling in the settlement of Xiamen Island,offer a concept of "complexity" to describe the situation of various regions,and suggest several ideas on the establishment of the multi-objective spatial sampling model.
  • ARTICLES
    KE Xinli, DENG Xiangzheng
    2010, 12(3): 365-371.
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    All cells under the unpartitioned geo-cellular automata(GeoCA) modeling evolved according the transfer probability which is decided by generic transfer rule fixed for the entire region.However,there always exists spatial heterogeneity in most geographical phenomenon,and these spatial heterogeneities are quite often ignored in generic unpartitioned geo-cellular automata modeling due to the generic transfer rules are employed to drive all cells to evolve.The accuracy of unpartitioned GeoCA simulation result is limited because of the ignorance of spatial heterogeneities in this kind of GeoCA models.To overcome this disadvantage of unpartitioned GeoCA,a partitioned GeoCA based on spatial cluster is discussed in this paper.Under the partitioned GeoCA modeling framework,cellular space is departed into several partitions by spatial cluster,and then a set of transfer rules corresponding to each partition are calculated accordingly.And then,taking Hangzhou City as a case,the Partitioned GeoCA modeling based on spatial cluster is employed to simulate the land use change in the period between 2000 and 2005.In this case study,the study area of Hanzhou is divided into 5 partitions by using K-Means cluster algorithm,and then C5.0 decision tree is employed to obtain cellular transfer rules for each partition of the case study area.In each partition,corresponding cellular transfer rules are employed to drive GeoCA to run simulation.Finally,confusion matrix and Moran I index are calculated to evaluate accuracy of simulated results by using the GeoCA modelling.Results show that the accuracy of the partitioned GeoCA modeling approach owns a higher simulation accuracy compared with those simulated based on unpartitioned GeoCA simulation.On the other hand,when Moran I index is employed to evaluate the accuracy of simulation result,the result of partitioned GeoCA modeling embedded spatial cluster is closer to the real land use pattern.The empirical study shows that a more accurate simulation result can be achieved by using the partitioned GeoCA modeling embedded spatial cluster.
  • ARTICLES
    LI Jun, XU Xinliang, HU Yunfeng
    2010, 12(3): 372-379.
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    Administrative unit based statistic economic and social data present the average status for certain social and economic index,and the inner uniformity is always neglected by many researchers.Based on geographic information technology,the paper introduces one method to calculate the spatial variation of industry structure of China from 1995 to 2005.The first,the second and the third industry spatial data based on 1km×1km cell were calculated by economic data discretization model given by the authors for the year of 1995,2000 and 2005 for China.Then,the spatial variations of industry structure were calculated based on another model in the year from 1995 to 2000,and from 2000 to 2005.The results show that the spatial variation analysis method introduced in the paper is much better than the statistic method in analyzing the industry structure spatial variation.The results calculated in the paper focus on the difference of industry ratio for each spatial unit(1km×1km) of China,and are easier to find the variation of industry structure for any small regions.Such as for the third industry ratio variation,from 2000 to 2005,the region with an increasing third industry ratio is much larger than that with a decreasing third industry ratio,and the region where the third industry ratio increase 0~10% is 68.5% of the total statistic region (whole China),while the region with a decreasing third industry ratio is only 11% of the total statistic region.From 1995 to 2000,however,the region where the third industry ratio decrease is much larger than that where the third industry ratio increase,the region where the third industry ratio decrease 0~10% is 84.7% of the total statistic region (whole China),the region decrease 10%~20% is 8.9% of the total statistic region,and the region where the third industry ratio increase is only 5.8% of the total statistic region.Those results are more valuable and necessary for decision-making in the filed of industry structure,and for regional scientific development evaluations.
  • ARTICLES
    BIE Qinqin, QIU Dongsheng, HU Hui, JU Bin
    2010, 12(3): 380-384.
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    Hand-foot-mouth Disease(HFMD) is a common infectious disease which causes by a variety of enteric viruses.In recent years,outbreaks of HFMD have been repeatedly and the diseased population has obviously increased in China,these caused our government and society's widespread attention.For the present,most of the HFMD studies focus on medical field,and research on spatial and temporal distribution characteristics at the macro-scale is rare.Taking into account of this situation,this paper based on medical geography theories,with geographic information systems(GIS) as the analysis tool,studied HFMD cases(2008-2009) from the China Disease Prevention and Control Information System.The research process is as follows: firstly,edits statistical data,and calculates the number of reported cases,the average morbidity,the mortality rate and so on in unit time by province;and then inducts it into database and associates with the Administrative Map of China in shapefile format in order for spatial visualization and spatial analysis.The research obtains following conclusions:(1)the serious area of HFMD epidemic situation in 2008 concentrated in three regions: the three northern provinces/city(Hebei,Beijing and Shanxi),the three southern provinces/autonomous region(Guangdong,Guangxi and Hainan)as well as the eastern provinces/city(Zhejiang,Shanghai and Anhui);(2) the number of reported cases,morbidity and mortality have remarkable differences between various provinces: the number of reported cases concentrated in eastern and southern of China,and the Qinghai-Tibet Region and the Northwestern Region are few;(3) HFMD in China is ahead of time for one month compared with conventional epidemic peak(April to July);(4) in most provinces,the number of reported cases increased sharply in April,and started to reduce significantly in August;(5) the distribution of high incidence moves obviously to the north between May and June.The results help to provide a scientific basis for prevention and control of HFMD outbreak and epidemic,also help for further studies focusing on the correlation of HFMD and geographical factors.
  • ARTICLES
    BAI YanLIAO Shunbao
    2010, 12(3): 385-391.
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    Vector and raster are two basic formats of geospatial data used in GIS.Raster data are more suitable for spatial modeling and spatial analysis than vector data,moreover,rasterization has efficacy of scaling to some extent,and raster data is the major format used in the application of spatial scaling analysis.In most cases vector data of large scales are subject to information security and intellectual property protection.These data can be shared more publicly because their spatial resolution decreases after rasterization.As the technologies of geospatial information collection improved increasingly,raster data have become the most dominant format of data sources in geosciences.However,traditional rasterizing method is a conversion process accompanied with attribute information loss,the main reason of which is "various types existing in one grid".In view of current problems in process of rasterization,taking rasterization of land cover data of China at a scale of 1:250 000 as a case study,this paper puts forward a conversion method based on grid cell,that is on the principle of "one land cover category one grid",and combines POLYGRID command with its {LOOKUP_ TABLE} INFO files in the software environment of ArcGIS,so as to guarantee no information loss in the whole conversion process.Moreover,the study can provide a new insight and a new idea for correlative researchers to deal with and analyze geographical spatial data sets,as well as supply valuable references for the scientific work of spatial scaling analysis.
  • ARTICLES
    LIU Yongmei, LI Qian, JIANG Nan
    2010, 12(3): 392-398.
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    With the continuous progress of urbanization in China,the scale of many cities is expanding rapidly and the demand and supply of urban land is not balanced.With the resource-saving and environment-friendly strategy adjustment of social development,the traditional expansion model no longer adapts to the new situation of urban land use.Meanwhile,urban land stereoscopic development has become popular in most big cities.Therefore,to meet the demand of current urban 3D cadastre development and management,in this paper,the necessity and probability of 3D cadastre firstly are discussed by analyzing the relationship between 3D cadastre and urban 3D development.Then according to the building flow of 3D cadastre,key techniques are analyzed from the aspects of data collection,store,management,display and apply,especially about the compatible and coordinate management of 2D cadastral achievement and 3D spatial data.In addition,some policy measures and suggests about law,apply and part coordination are provided to help establish 3D cadastre in order to keep the cadastral data and management consistent and coherent.And,taking an example of Nanjing City and based on the promotion of economic,intensive and scientific urban land use,the methods for reconnaissance of underground space remise and land right registration are summed up,especially about the use of special cadastral serial number and store ways.With the introduction to the system of visiting the building by web in detail,application of geographic information science,remote sensing,global position system,photographic surveying,virtual reality,web techniques and so on in the 3D cadastre construction are discussed.Besides,the shortages of these techniques are also covered to analyze the whole establishment method of 3D cadastre.In a word,the establishment method of 3D cadastre is brought forward adapted to the present status of urban land use and technological development trend.Hence,it is obvious that urban 3D development will be more and more popular in China,and it is necessary to explore the method of 3D cadastre construction so as to improve the management of land use,while information technology will also play more and more important role in it.
  • ARTICLES
    WANG Juanle, LI Rui, XU Yongfen, XU Yulin, JIA Wenchen, DENG Fengdong
    2010, 12(3): 399-405.
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    With the development of world economy,land change and land cover in urban areas tend to change drastically over very short time due to rapid urbanization.Urbanization pushes the development of regional economy,also enhances the integrated power of the country.While at the same time,urbanization also brings negative influences for ecological environment regionally or globally,such as cultivated land occupation,ecological degradation,water shortage,etc.How to acquire urbanization information quickly and share these data in time is a key problem.With the development on Earth observation technique,remote sensing has been one of the powerful methods for urbanization monitoring.Multi-spectrum remotely sensed images are widely used because they are economical and accessible easily,such as Landsat TM/ETM+ and so on.Based on multi-spectrum images,the paper studies various land use information extraction technique flow according to urban objects' spectrum features.Based on the designed research technique flow,4 kinds of urbanization information are extracted from remotely sensed images,i.e.,the built-up urban area,water area,green belts and thermal islands.Yancheng City is selected as a case for the urban built-up area extraction.The built up area in Yancheng City was extracted automatically by means of designed method from three Landsat images in 2000,2002 and 2006.Firstly,Yancheng City's spectrum features are analyzed.Secondly,some urbanization information is automatically calculated through models of NDBI,NDVI and NDWI.Thirdly,binary processing method is used in the experiment based on the experiential threshold values of NDBI,NDVI and NDWI.Finally,the built up area in the main urban zone can be calculated and analyzed.This experiment shows that it is feasible and effective to extract some urbanization information from multi-spectrum images through remote sensing technologies,such as water area,green belts,city built up area,etc.This will enhance urbanization information rapid extraction and acquirement in more cities.Through data sharing,this information will be applied in the process of social and economic development in China.
  • ARTICLES
    DU Junhai
    2010, 12(3): 406-409.
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    With the rapid development of publishing and printing technology applied in the fields of digitalization,network and cross-media,there is a growing regard of development and application in remote technology.Nowadays,the compilation and publishing of map is gradually realizing its all-digital procedure and the traditional map production mode is change step by step,entering the integrated all-digital manufacturing-printing times.This paper analyzes the remote plate-making technology in printing field and explores the application method of the map compilation and publishing oriented remote technology based on the remote plate-making technology system framework.And through the application analysis of remote plate-making technology,we take the remote plate-making system in Xi'an Aerial Photogrammetry and Remote Sensing Bureau(ARSC) Information Industry Limited Company as an example,and an innovative mode of production for map publishing based on remote network is presented as well.Under this mode,we can achieve many advantages that are formerly difficult to work out by remote terminal distributed in nationwide scope.These advantages include synchronous recurrence of printing color,WYSIWYG(What You See Is What You Get) remote-controlling,integrated synchronous map production for map designing platform,atlas compiling platform and publishing platform.In this way,efficiency is greatly improved and effectively starts and propels the development of our country's map printing industry toward the digital and intelligent direction.
  • ARTICLES
    YAN Lei, REN Yuhuan, HUANG Xiaoxia, ZHANG Yanping, LIU Yalan, WANG Shiwen
    2010, 12(3): 410-418.
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    To establish an influenza surveillance system is an effective strategy to monitor or predicate the influenza pandemic.Many countries,such as the United States,Canada,Mexico,Brazil,Britain,the European Union,Russia,Australia,New Zealand and China have established their own influenza surveillance system.In order to improve China's influenza surveillance system,the authors analyzed the differences and characteristics of the influenza surveillance systems among the United States,Europe,and China by the geographical epidemiologic methods.The comparative analysis focused on the influenza epidemic by geographic regions and the evaluation indicators of the surveillance.Based on the consideration of the characteristics of China's topography,climate zoning and administrative management system,the authors proposed that the current surveillance system which includes only north and south regions can be refined into 8 regions:(1) Heilongjiang,Jilin and Liaoning;(2) Beijing,Tianjin,Hebei,Shandong,and Henan;(3)the areas of middle and lower reaches of Yangtze River;(4) Fujian,Guangdong,Guangxi,Hainan and Taiwan;(5) Inner Mongolia,Gansu and Xinjiang;(6) Shanxi,Shaanxi and Ningxia;(7) Chongqing,Guizhou,Sichuan and Yunnan;and(8) Qinghai and Tibet.Although the operational time of the system is short and the cumulated data is insufficient in China,the percentage of influenza-like illness(ILI) of total out-patient cases the mortality rate attributed to pneumonia and influenza in sentinel hospitals can be used to calculate the baseline and the influenza season epidemic threshold.Those baseline and threshold will measure and evaluate the level and severity of an influenza pandemic objectively.The study not only contributed to the applications of the landscape epidemiology theoretically,but also to the surveillance of influenza and other communicable diseases practically.
  • ARTICLES
    WU Xuewen, XU Hanqiu
    2010, 12(3): 419-425.
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    It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition.With the theory of multi-resolution analysis applied in the field of image processing,there emerged many kinds of multi-resolution decomposition-based fusion methods,such as Mallat wavelet transform(DWT)-based,à trous wavelet transform(SWT)-based and nonsubsampled contourlet transform(NSCT)-based fusion methods,or the hybrid of them.The hybrid methods include DWT-I(integrate the DWT with IHS),SWT-I(integrate the SWT with IHS),NSCT-I(integrate the NSCT with IHS),DWT-P(integrate the DWT with PCA),SWT-P(integrate the SWT with PCA) and NSCT-P(integrate the NSCT with PCA).These fusion methods were employed in two subsets from an IKONOS image,representing different land cover types.One subset is mainly covered by building,the other is covered by vegetation,water and building.The size of each subset image is 596×596 pixels in panchromatic band.The performance of each fusion method has been further quantitatively analyzed.The mean RMSE(Root Mean Square Error) and correlation coefficients of original and each fused image were used to measure spectral fidelity and high spatial frequency information gain.The study shows that all multi-resolution decomposition-based methods have high spatial frequency information gain,in which the DWT,SWT,NSCT methods are better.PCA-based hybrid methods have better spectral fidelity than IHS-based hybrid methods,but have lower high spatial frequency information gain.All hybrid methods have much better spectral fidelity than the DWT,SWT,NSCT methods and original IHS,PCA methods.The NSCT-based hybrid methods are close to the SWT-based hybrid methods in both spectral fidelity and high spatial frequency information gain.They are much better than DWT-based hybrid methods.The NSCT-P is the best in spectral fidelity.
  • ARTICLES
    LIU Yang, LIU Ronggao, LIU Siliang, LIU Jiyuan, CHEN Zhongxin, WANG Liming, ZOU Jinqiu
    2010, 12(3): 426-435.
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    Leaf area index(LAI) is an essential parameter for monitoring crop growth dynamic.In this paper,an algorithm,which is based on physical model and neural networks to derive leaf area index from land surface reflectance data,is presented.The algorithm utilizes MODIS land surface reflectances and 4-scale model to produce crop LAI.Firstly,the training dataset was created by running the 4-scale model to simulate crop LAI at different land surface reflectance and geometric situation.Then,the neural network was trained with the simulated LAI data set.After the neural network was trained,the LAI would be efficiently retrieved from MODIS reflectances and geometric data.This algorithm directly utilizes the directional reflectances instead of the BRDF normalized data in order to avoid complex BRDF normalization and the error from it.The estimated LAI is compared with existing LAI products.The results show that it is consistent with MODIS(RMSE=0.4994) and CYCLOPES(RMSE=0.6658) LAI products in temporal and spatial patterns.The algorithm is validated against ground measurements of annual crop LAI of 2004 in Hengshui,Hebei Province,China.The neural network derived LAI could represent the spatial pattern of the field LAI.However,all these LAI products are lower than field measurements.It would be suggested that the physical model should be modified to adapt to the dense crop in Northern China.
  • ARTICLES
    MENG Weiqing, LI Hongyuan, HAO Cui, MO Xunqiang
    2010, 12(3): 436-443.
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    Wetland ecosystem which has special hydrology,soil,vegetation and biology characters are places where land and water meet.Wetland is the landscape having highest biodiversity and important habitat which has highest productivity and many ecological functions.Tianjin's Binhai New Area(BNA) is located in the northeast of North China Plain,Haihe River downstream and at the center of the Bohai Bay.The Central Government of China and the State Council have made important strategic planning to push forward development of the Binhai New Area and make it become the Comprehensive Reform Experimental Zones.We can forecast that BNA will develop rapidly in future.With the growth in economy,the disturbance to natural ecosystem will enhance.Wetland ecosystem is the main natural ecosystem of BNA,however now the wetlands have been destroyed both in quantity and quality.The wetland ecosystem is facing serious crisis.Combining the integrated technology of landscape quantity analytical method with GIS technology,basing on TM images between 1979 and 2008,the FRAGSTATS software and the investigation data,dynamic changes in wetland landscape pattern of Binhai New Area are analyzed.The results showed that the total area of wetland landscape has not been greatly reduced.The total wetland area is 58.78% of Binhai New Area in 2008 and the landscape dominance is obvious.Much natural wetland converted into urban construction land.Littoral wetland decreased as construction between 2004 and 2008,more than 90% of natural beach was used up to May of 2009.Wetland patch number is increased from 137 to 704 meanwhile the average patch area decreased with the development of economy.Driving factor analyses showed that the main natural factor is the decrease of precipitation meanwhile increase of average air temperature.Main human disturbance factors includes aquiculture,city construction and coastal reclamation.
  • ARTICLES
    KOU Cheng, KE Changqing
    2010, 12(3): 444-450.
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    The remotely sensed imagery classification is an important preparation work for geo-science analysis with remotely sensed imagery.The accuracy of classification will influence the quality of the result of geo-science analysis.We can hardly achieve satisfactory classification result using traditional classification method in high-resolution remotely sensed imagery classification.The research shows that the texture is a very significant feature for improving the accuracy of classification of high-resolution remotely sensed imagery.The time-frequency method of wavelet transform has the spatial advantage in texture analysis of remotely sensed imagery.In this paper,the texture feature of remotely sensed imagery is extracted from QuickBird imagery via wavelet decomposing.The feature space is composed of texture feature and spectrum response value of every band of the image.Then the image is classified by fuzzy C mean-value clustering(FCM clustering) approach.The experimental result indicates that the accuracy of classification can be increased when the texture feature is added into feature space.Meanwhile,the inner-homogeneity of a single category is improved.We can also see that the wavelet analysis can extract subtle texture better than coarse texture.In this paper,it is from the gradient image that the texture feature is extracted,so there are some misclassified pixels at the edge of the image,like the sides of roads.Some tiny objects can be amplified.The change of parameters used in this method can impact on the result of classification,such as the window size of the wavelet mode variance,the window size of mean filter,the coefficients of spectral responses,and so on.How to find out the influence mechanism of these parameters and how to choose proper parameters are what need to be resolved in next researches.