地球信息科学学报最新文献

{"title":"Uncertainty Analysis of Different DEM Interpolation Methods Based on AMMI Model","authors":"Tang Guoan","doi":"10.3724/sp.j.1047.2012.00062","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00062","url":null,"abstract":"Analysis of evaluation of interpolation models is a hot topic in the DEM interpolation studies.Most studies focused on the interpolation model in the last decades,while ignored the influencing factors between the interpolation models and environments.That is to say,on the one side,different interpolation models influence the accuracy of the analysis result;on the other side,difference environments also influence the accuracy of a certain interpolation model.In order to analysis the applicability of different interpolation methods in different environments,this paper selected test areas under different geomorphic types,and used the AMMI model to analyse the accuracy of the different interpolation models and the applicability of the studied models to different geomorphic types.The experiment results showed that the AMMI model could test the influencing factors between the interpolation models and the environments.Taking the test of this paper as an example,in the Northern Shaanxi region,the ordinary Kriging model is the best choice in the DEM construction.Finally,by analyzing the correlation coefficient between the environment coefficient and several landform parameters,it can be found that the slope gradient could represent the first environment coefficient.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69762197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction of Resource and Environment Science Expedition Data Resources Integration System in Northeast Asia","authors":"Song Jia","doi":"10.3724/sp.j.1047.2012.00074","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00074","url":null,"abstract":"Northeast Asia is a key area for Earth system study,global change frontier science research and regional sustainable development research,where has complex ecological environment pattern,variety of climate zones,and typical human-earth relationship comparing characteristics.Large amount of scientific expedition data are accumulated in the past several years in Northeast Asia(here refers to Northern China,Mongolia,and Siberia and Far East area of Russia) under the cooperation of China,Mongolia and Russia scientists.These data have multi-disciplinary features.How to integrate these scientific expedition data public services is a problem.According to these scientific expedition data accumulation and management requirements,we designed a data resources integration system,which has 3 sub systems,i.e.,data resources collect and management standards and specifications system,data classification system,data management and publication software platform.Data resources collection and management standard and specification system has 23 specifications,which can be divided into 3 types,i.e.,data collection and processing specification type,data analysis and archiving specification,and data management and sharing specification.Data resources classification system has 4 classes,25 sub classes and 128 data elements.Data management and publication software platform has 5 function models,i.e.,data catalogue search model,metadata management model,data publication and virtualization model,data view model and data download model.Based on the designed data integration system,a prototype system has been developed supported by computer technology and Web GIS technology.As far 144 datasets have been integrated in this data system.With more and more data are accumulated and integrated in this system,it will play an important role for the scientific expedition data application and analysis in the near future.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69762211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Land-sourced Sewage Outfalls Monitoring in Circum-Bohai Region Using Multi-scale Remote Sensing Data","authors":"Xu Shiguang","doi":"10.3724/sp.j.1047.2012.00405","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00405","url":null,"abstract":"Land-sourced sewage outfall is one of the main marine pollution sources.Monitoring of land-sourced sewage outfalls is the main content of marine environmental monitoring.However,due to the limitation of remote sensing technology,there are very few reports about land-sourced sewage outfalls monitoring using remote sensing technology,although it is the main information dectection technology for a large area.To meet the needs of land-sourced sewage outfalls monitoring,this paper proposed a novel land-sourced sewage outfalls monitoring method using remote sensing technology by referencing to the current \"land-sourced sewage outfall and adjacent marine ecological environment monitoring Guide\"(HY/T086-2005) of China.Considering the ability and the economic effectiveness of different satellite data,multi scale remote sensing data was used in this method.With multi scale remote sensing data,the observed ground water quality parameters and spectral data,water quality parameters were extracted.Then Bohai Sea water quality was assessed by water quality parameters and spectral characteristics.And the key monitoring area was found out based on the result of water quality assessment.Finally,positions of land-sourced sewage outfalls were detected using high resolution remote sensing data in the key monitoring area.Validation of this method was conducted in the circum-Bohai region,China,and high positioning accuracy was acquired.Using this method,efficiency of land-sourced sewage outfalls monitoring can be improved greatly,while the cost and workload can be substantially reduced.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69763038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and Comparison in Stabilities and Related Influence Factors for Several Common Methods Used in Soil Property Mapping","authors":"Wu Zhenfu","doi":"10.3724/sp.j.1047.2012.00305","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00305","url":null,"abstract":"Total 870 soil samples were collected from the north of Henan Province over a 27 955 km2 area.Two subgroups with 435 samples were respectively used in soil property map-making,i.e.the content of exchangeable cations(CEC) and the total nitrogen(TN).The difference of map-making results between two subgroups was calculated.The stability among Kriging method,inverse distance weight method(IDW) and polygon value represented by point value method(PRP) were compared and its' influencing factors were discussed.The results showed that:(i) RMSE(Root Mean Square Error)and R(correlation coefficient) between measured data and predicted data could not represent the stability of map-making,namely,the returning probability of the spatial pattern of soil properties.And the result was differential in precision validation when using different ways.(ii) The stability of Kriging and IDW were significantly superior to the PRP.The area with relative difference lower than 0.3 didn't achieved 20% of the total area in Kriging and IDW mapping methods,but it achieved 51.57% in PRP mapping method.The area with a high difference level was scattered in the difference map when using the former two methods,but it was centralized and showed by big polygons when using PRP.(iii) The stability of soil property map-making results was disturbed by both sample distribution and high variability of soils in local area.Sample distribution was much important in keeping stability in Kriging method than that in IDW and PRP methods.In the two latter ways high variability among data values showed much impressive effects.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69762277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Tax Administration WebGIS System Based on Service-Oriented Architecture","authors":"Huang Fenghua","doi":"10.3724/sp.j.1047.2012.00209","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00209","url":null,"abstract":"In order to reflect the spatial distribution rules and trends of the taxation status in different regions intuitively,iconically and dynamically,improve the capability of data sharing and interoperability of the heterogeneous tax administration GIS systems,a tax administration WebGIS system based on Service Oriented Architecture(SOA) is constructed by the integration of the GIS enterprise-level middleware and GIS Web services(GIServices) on account of the specifications of Open Geospatial Consortium(OGC).STAXGIS is based on the consistent business model and information model.The GIS enterprise-level middleware can provide spatial data conversion,taxation business processing,taxation spatial analysis and other advanced service functions,meanwhile the GISservices can provide information services(such as query and location of tax sources,tax thematic analysis,taxation queries and declaring and so on).The four-layer framework of J2EE which contains the data layer,application service layer,Web service layer and client layer is used for the hierarchical management and deployment of the STAXGIS.Compared with the traditional tax administration GIS systems,the administration efficiency and scalability of the STAXGIS is greatly improved.The research which takes Fuzhou City in Fujian Province as an example has shown that STAXGIS could strengthen the capabilities of information sharing and interoperability of the decentralized heterogeneous tax administration GIS platform in the distributed environment currently,and improve the overall efficiency of spatial analysis for tax administration in heterogeneous environment.It can also provide the tax administration departments at different levels with decision support directly or indirectly.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69762306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic Selection of Classified Samples with the Help of Previous Land Cover Data","authors":"Yang Xiaomei","doi":"10.3724/sp.j.1047.2012.00507","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00507","url":null,"abstract":"The combination of geographical knowledge and image calibration has long been the principal means of both the traditional visual interpretation and computer automatic classification in remote sensing mapping.Traditional visual interpretation could use the geographic knowledge well because of the artificial participation.However,it goes with the shortcomings that visual interpretation needs a lot of labor and is less efficient.In addition,the computer classification has not applied geographic knowledge in a proper way.Studies have shown that samples as the carrier of geographic knowledge can integrate geographic knowledge into the classification process to some extent.Meanwhile,unsupervised clustering can significantly improve the efficiency of sample selection and solve the problem of scarcity of samples in order to meet the requirement of distribution and purity.These studies provide a basic foundation for integration of geographic knowledge with computer classification.This paper presents an automatic sample selecting method which integrates image clustering with the aid of previous land cover data.The samples were selected automatically based on the TM images by the method mentioned above and used to classify the image later by the maximum likelihood classifier.We also classified the image using the manual samples by the maximum likelihood classifier in order to compare the classified results produced by these two kinds of samples.The test results indicated that the proposed method achieved an overall accuracy of 84.18% and a kappa coefficient of 0.8066 in seven categories,including water body,forest land,orchard and urban construction land.The method proposed in this paper is more efficient than the way of samples selected manually and provides better classification results.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69763120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model Analysis of Upper Digestive Tract Cancer and Environmental Pollution in Huaihe River Watershed","authors":"Yang Gong-huan","doi":"10.3724/sp.j.1047.2012.00432","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00432","url":null,"abstract":"The Huaihe River watershed has been suffering from industrial point pollution and other non-point pollution since 1970s.The media has reported the emergence of 'cancer village'.Spatial distribution pattern on upper digestive tract cancer and environmental factors was studied in 14 pilot counties including 5810 villages in Huaihe River watershed.From the multiple perspectives such as watershed and jurisdictional areas,Ordinary Least Squares(OLS) and Robust regression model were used for environmental factors selection.Robust regression model can detect abnormal value and put the weight for each of them.Surface water,phreatic water,river density,soil PAHs,fertilizer,population density and economical density(GDP) were imported into the model.Geographically Weighted Regression(GWR) model was used to locally detect the impact of different environmental factors on Empirical Bayes smoothed upper digestive tract cancer mortality.Through the correlative analysis of them,the risk assessment model of upper digestive tract cancer mortality was developed.Based on the regression coefficient of each environmental factor and statistical test in each pilot,the local main environmental factors were extracted.Even six factors were imported into the global regression model,the impact of each factor was different in distinct areas.In general,all the selected environmental factors show the positive correlation with the upper digestive tract cancer mortality except the surface water quality level and GDP.However the pollution type was diverse in different area based on the regression coefficient of each factor.The main findings were listed as follow: fertilizer amount,soil PAHs,GDP and river density are the main factors in Jiangsu segment in Huaihe River watershed;main factors in Anhui segment included soil PAHs and fertilizer amount;main factors in Henan segment included phreatic water,river density and fertilizer amount,With Shenqiu County,as one of the pilots in Henan,showed the strong positive correlation between surface water and cancer mortality;some kind of environmental risk factors were also detected in Shandong segment,but the result showed no correlation between these risk factors and cancer mortality,which needed to be studied any further.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69762743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information Extraction of Typical Alteration Mineral Assemblage in Porphyry Copper Using ASTER Satellite Data, Arequipa Province of South Peru","authors":"Liao Zhizhong","doi":"10.3724/sp.j.1047.2012.00411","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00411","url":null,"abstract":"In this paper we studied the information extraction technology of alteration mineral assemblages.Using the standard laboratory spectral database of U.S.Geological Survey,we rebuilt the reflectivity curve of key alteration minerals in porphyry copper alteration zones with ASTER data.After comparative analysis of these key alteration minerals spectral curves,we found the characteristic of absorption valley at the spectral 2.2 μm(which is corresponding to the B6 of ASTER data) of the argillic-and phyllic-altered mineral assemblage(which include muscovite,kaolinite,montmorillonite,alunite,illite,etc.),and with the characteristic of high reflection peaks at B4 and B7.The characteristic of absorption valley at the spectral 2.3 μm(which is corresponding to the B8 of ASTER data) of the propylitization altered mineral assemblage(which include chlorite,epidote,calcite,etc.,),and with the characteristic of a high reflection peaks at B4,while the B9 has a higher reflectivity than the B8.Accordingly,the principal component analysis model was developed.This model can make component analysis based on ASTER B1,B4,B6 and B7 to extract the argillic-and phyllic-altered mineral assemblage;component analysis based on ASTER B1,B3,B4 and B8 to extract propylitization altered mineral assemblage.At the same time,the process was established for the alteration mineral assemblage information extraction.Taking porphyry copper region in Arequipa Province of south Peru as an example,based on comprehensive analysis of the geological background of the study area,especially its typical alteration zoning and alteration mineral assemblages in the area,we found a typical porphyry alteration zonation in Arequipa Province.So we can take advantage of the technical processes and methods,and after ASTER data preprocessing,interfering surface features removal,principal component analysis and threshold setting,to extract argillic-and phyllic-altered mineral assemblage and propylitization altered mineral assemblage.Meanwhile,together with remote sensing interpretation and regional geochemical data,we forecasted the prospecting target of porphyry copper,and delineated 4 remote sensing exploration targets.Comparing with the verified of high-resolution satellite images and the known porphyry copper deposit,the result this study is reliable.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69763086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On Space-Air-Ground Integrated Earth Observation Network","authors":"L. Deren","doi":"10.3724/sp.j.1047.2012.00419","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00419","url":null,"abstract":"Space-Air-Ground integrated earth observation network(SAGIEON) is not only the most promising high-tech area,but also a fundamental infrastructure closely related to national security and economic/social development.Firstly,the scientific concept,key technologies,current situation and tendency of SAGIEON are comprehensively represented.Secondly,an integrated data processing system for native remote sensing satellites is introduced,including its objectives and key technologies.Thirdly,the connotation of generalized spatial information grid are proposed on the basis of the above mentioned discussions.Finally,some conclusions are drawn.For the propose of providing fast,precise and real-time spatial information service to everyone,it is very important to carry out research on the theories and technologies of SAGIEON.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69763107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on Soil Property Mapping at National Scale Based on Sparse Grid Soil Samples","authors":"Yu Wanli","doi":"10.3724/sp.j.1047.2012.00049","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00049","url":null,"abstract":"Soil property data at national scale are necessary inputs for researches on biogeochemical and hydrological cycles.There are two commonly used methods to obtain accurate soil property data at this scale including soil linkage method and spatial interpolation method.In this paper,soil organic matter(SOM) content in Jilin Province was taken as a case study to evaluate these two methods based on 8～32 km grid soil samples and 1∶1 million soil map,in order to provide suggestions about soil property mapping at national scale based on sparse grid soil samples.Independent validation indicated that the mean error(ME) of the soil linkage method was-0.58,higher than the inverse distance weighted(IDW) interpolation method(0.13),but the mean absolute error(MAE) and root mean square error(RMSE) of the soil linkage method were 1.12 and 1.76,respectively,lower than those of IDW interpolation method(1.43 and 2.12).Although the soil property map through IDW interpolation revealed the general trend of soil property distribution,it had \"Bull's eye\" pattern and the estimations in areas with few or no soil samples were unreliable.The soil property map obtained by soil linkage method ignored the variations inside the same soil type on the soil map and a break of soil property existed around different soil boundaries,but the soil distribution regularity was well represented in this map and the details could be obtained.According to the validation results of maps through these two methods,the soil linkage method is better than the spatial interpolation method in soil property mapping based on sparse grid soil samples at national scale.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69762080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}