地球信息科学学报最新文献

{"title":"Design and Implementation of the Landslide Hazards Weather Forecast Information Sharing Platform Based on ArcGIS Server","authors":"GU Chengyan","doi":"10.3724/sp.j.1047.2012.00199","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00199","url":null,"abstract":"Landslide is the most common form of geological disasters.Its main incentive is rainfall,so landslide often occurs in areas with abundant rainfall or occurs in flood season.Due to natural environmental and geological characteristics of Nanjing City,landslide is a major geological disaster there.In order to forecast landslide hazards effectively and minimize the loss caused by the unexpected landslide hazards,this paper established the landslide hazards weather forecast information sharing platform.On the basis of the existing data of geological hazards-prone areas,we use historic landslide data of Nanjing,meteorological data(rainfall) and the model of geological hazard forecast to establish the method of landslide hazards weather forecast and determine the landslide hazards weather forecast technique in Nanjing City.Then a forecasting information sharing platform is developed.Based on the method and the technology process of landslide hazards forecast,this platform uses C# as the development language and applies the following techniques: the database technology,the ArcGIS Server technology,the.NET technology,the remote call technology,the partial refresh technology of AJAX and the map cache technology.It also merges the geographic information system functions and landslide hazards forecast business functions together.This platform can achieve a dynamic and scientific management of the basic data of landslide hazards and the real-time meteorological data.It also can combine the real-time rainfall data to achieve the prediction of landslide hazard in Nanjing,and then it publishes the landslide hazards information on line in real time.At the same time,it provides the functions of landslide hazards information retrieval and statistical analysis and so on.Ultimately we hope this platform can provide a decision support for the landslide hazards prevention and mitigation and references for other cities which need to build a landslide hazards prediction platform.","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":"69762297","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":"The Global Oil and Gas Geology Database Information Sharing System Based on ArcGIS Server","authors":"He Shufeng","doi":"10.3724/sp.j.1047.2012.00217","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00217","url":null,"abstract":"It is an important research subject to build hydrocarbon resources information database and provide decision support service by information technology.Strategic Research Center of Oil and Gas Resources organizes a global hydrocarbon geology research project,collects the global latest hydrocarbon resources information,and establishes global hydrocarbon geology database,which has the following characters: wide scope,perfect content and strong timeliness.In order to provide the database information service,the Global Hydrocarbon Geology Database Information Sharing System is established based on ArcGIS Server,Visual studio.NET development platform and the Oracle database management system.It fills in the domestic gap of hydrocarbon geology information management and sharing system,provides a way to reach sharing and interoperability.The information sharing system is a WebGIS application platform,providing information release,map browsing,graphics search,spatial analysis,thematic mapping and other functions.By the graphics,text and charts,it presents the latest research results of basic geography,basic geology,hydrocarbon geology,potential resources,investment environment,etc.It provides efficient information access for the public and researchers,provides reliable information support for national oil and gas resources management and energy policy,realizes information sharing and service.In this article we briefly introduced ArcGIS Server and why we chose ArcGIS Server,mainly specified the system framework,including logical framework and physical framework,data entity classification,system environment and function modules,such as information retrieval module,navigation module,metadata service module,spatial data service module,data download module and system management module,for the purpose of discussing the design and realization of information sharing system based on ArcGIS Server.","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":"69762352","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":"Atmospheric Carbon Dioxide Satellite Remote Sensing Retrieval Accuracy Inspection and Spatio-temporal Characteristics Analysis","authors":"Xie Donghai","doi":"10.3724/sp.j.1047.2012.00250","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00250","url":null,"abstract":"Atmospheric concentration of carbon dioxide(CO2),which is one of the most important anthropogenic greenhouse gases,has increased significantly since the beginning of the industrial revolution.It is expected that further increase of CO2 will definitely result in a warmer climate with adverse consequences including rising sea levels and increasing extreme weather conditions.A reliable prediction requires an accurate understanding of the sources and sinks of the greenhouse gases.Compared to traditional methods based on ground-based observations,an approach that uses satellite remote sensing to detect atmospheric CO2 concentration has many other advantages such as stability,continuity,large-scale,as well as easily getting global spatial and temporal distribution of CO2.As the technology of satellite remote sensing is growing rapidly,a series of satellites,launched for detecting atmospheric CO2 concentration,including SCIAMACHY,GOSAT and AIRS,have been collecting a large amount of global CO2 concentration distribution data for many years.This paper gives analyses by comparing those satellite data among themselves in some parameter indexes and conducts validation by comparing those remote sensing data to the long-term global ground-based observation records.The results indicate that,among those three CO2 satellite remote sensing products,the SCIAMACHY data is systemically slightly higher than ground-based observations and limited in coverage,the GOSAT data is predominant in stability but inferior in systematic errors which is nearly 9ppmv on average lower than ground-based data,and the AIRS data,which is better than the aforementioned two satellites in both coverage and accuracy,whose monthly global coverage is up to 90%,the average error is less than 2ppmv(0.5%) from the ground-based observations and the correlation coefficient is greater than 0.9,can be able to better reflect the global distributions of atmospheric CO2 concentration.An investigation from satellite and ground-based observations shows that the global spatial distribution of CO2 concentration represent significant latitude distribution and land-sea distribution,and there is a significant seasonal variation in CO2 concentration that illustrates a peak most likely in April and a valley in August.","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":"69762417","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":"Quantitative Analysis on Spatial Distribution of Land Cover Pattern and Landscape Features in Poyang Lake Region","authors":"Liu Yujie","doi":"10.3724/sp.j.1047.2012.00327","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00327","url":null,"abstract":"Poyang Lake is the largest freshwater lake in China.It plays an important role on ecosystem services,such as flood regulation and storage,water conservation,etc.It is important for the evaluation of its environmental protection and ecosystem services to grasp the spatial pattern and laws of land cover distribution in the Poyang Lake region.Based on HJ images and Poyang Lake land cover data in 2005,this paper obtained the Poyang Lake region land cover data in 2010 by using GIS,RS technology and quantitatively analyzed the land cover spatial distribution pattern of the Poyang Lake region in 2010.The results show that:(1) Base on HJ images and the existing land cover data,the regional land cover data can be updated dynamically.Using the HJ images in 2010 with the 2005 land cover data,the 2010 land cover data was obtained by artificial visual interpretation.Verified by the measured GPS points,the accuracy of the land cover data is 80.4%;(2) Landscape ecology,GIS and statistical ideas and methods can support quantitative analysis on land cover spatial characteristics.The indices used in the patch area,patch shape index,adjacency index of different land cover types reflect the land cover spatial characteristics of the Poyang Lake region in different aspects;(3) Landscape indices can quantitatively explain the shape,size,number and space combination of the land cover and can reflect the characteristics of the ecological environment and the status of human activities and socio-economy.The area indices has showed that the rural settlement have the highest degree of fragmentation and dispersion.Shape indices have reflected the shape of the water body tend towards the regularization owing to the conversion from lake to land and the flood control projects;And(4) the adjacency indices of land cover types have quantitatively descripted the material exchange,interaction of the adjacent land cover types and have reflected the formation mechanism and succession process of land resources.The adjacent relationship of paddy fields and evergreen broadleaf forests have reflected that the deforestation has influenced the succession of forest land and paddy field.The adjacency relationship of paddy fields and rural settlements has recommend that farmland protection and monitoring should be focused on farmland surrounding the towns and rural areas.The adjacency indices of urban construction have provided a scientific basis for the construction of the towns.Analyses have showed that Poyang Lake is an arable land-based agricultural area,which has abundant water resources and forests,therefore,we should pay high attention to intensification of rural land use,water conservation,farmland protection,and the rational development and utilization of natural resources.","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":"69762463","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 Method on Information Extraction of Winter Fallow Fields in Middle and Lower Reaches of Yangtze River by Remote Sensing","authors":"Xu Xinliang","doi":"10.3724/sp.j.1047.2012.00389","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00389","url":null,"abstract":"In the past 20 years,the area of winter fallow fields showed a steady increase trend because of economic structure adjustment and rural labor transfer in China.In order to make good use of winter fallow fields rationally and efficiently,the dynamic threshold method for winter fallow fields monitoring and relative information extraction was studied based on a long-time series data of the SPOT-VEGETATION NDVI,the spatial distribution of farmland and the characteristics of crop phenology.Then,the spatial and temporal distribution of winter fallow fields in middle and lower reaches of Yangtze River from 2007 to 2008 was extracted as a case study.According to this study,the dynamic threshold method based on NDVI time series data is a good way to extract area information of winter fallow fields.The results indicated that the area of the winter fallow fields in the middle and lower reaches of the Yangtze River was 205.5 million km2,occupying 45.49% of the total cultivated area.The distribution of winter fallow fields was gathered in north and northwest part of the study area including Jiangsu,Anhui,Henan,Hubei,Hunan provinces and northwest regions of Jiangxi Province,in which Hubei,Hunan and Jiangsu provinces have the most largest area of winter fallow fields,which occupied 53.41% of the total winter fallow fields area in the middle and lower reaches of Yangtze River.","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":"69762966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial-temporal Characteristics and Future Prediction of Urban Expansion in Shanghai","authors":"Zhang Xuexia","doi":"10.3724/sp.j.1047.2012.00490","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00490","url":null,"abstract":"Rapid urbanization often results in intensive land use change especially in the urban area of China.As an important economic center in China,urban expansion in Shanghai is always at a high speed in recent years.Using land use datasets in 1990,1995,2000 and 2005,derived from interpretation based on Landsat TM/ETM images,this paper firstly analyzed the spatial-temporal characteristics of urban expansion during 1990-2005,then simulated this process using SLEUTH model and analyzed the simulation precision,and forecasted urban expansion and land use change process in the next 30 years.The results indicated that:(i) the urban expansion is very fast during 1990-2005,the urban land area increased by 81 278 hm2(10.14%).The temporal process of urban expansion took on a first decrease and then increase trend.The most obvious expansion occurred in 2000-2005,the urban land area increased by 40 668 hm2(5.08%),and the sea reclamation is the typical characteristic in this time period.(ii) The Lee-Sallee index were more than 0.75 in the calibration process of SLEUTH,and the amount and morphology of simulated urban expansion were more consistent with actual situation in 2005 than in the past.So SLEUTH model could simulate urban growth mode of Shanghai City and obtain high precision result of land use changes,and the Kappa coefficient could be up to 0.8476.(iii) In the next 30 years,Shanghai would expand at an annual average rate of 1.63%,and the city area would be reach 152 685 hm2 in 2040.The urbanization process would occupy 41 824 hm2 cultivated land,and the cultivated land area would decrease at a speed of annual average area of 1200 hm2,but it would not affect the aim of cultivated land protection in the future general land use planning.(iv) The main mode of urban expansion in Shanghai was the edge growth,the direction towards east along Wuzhou Avenue in the Pudong new area,the direction towards south along the Humin elevated road in Xuhui District,and the direction towards west along Beijing-Shanghai high-speed railway in Jiading and Qingpu districts,are the main city expansion direction in the future.And(v) from 2010 to 2040,urban expansion in Shanghai will occupy cultivated land 1200hm2 per year,and will occupy cultivated land 41 824 hm2 totally.","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":"69763052","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":"Dual-threshold Oil Spills Detection Based on Characteristic Possibility Function","authors":"Zhang Yuanzhi","doi":"10.3724/sp.j.1047.2012.00531","DOIUrl":"https://doi.org/10.3724/sp.j.1047.2012.00531","url":null,"abstract":"Oil spills can cause huge damage to the ecology of marine environment and its detection and clean-up plays a very important role in the reduction of economic and environmental losses.As an advanced technology,synthetic aperture radar(SAR) has the advantage of day-night all weather observation capability.Besides,SAR has relatively wide swath width and high resolution,which all helps a lot in the early warning and damage analysis of oil spills accidents.Due to the special imaging mechanism of SAR,oil spills can be found as dark spots in SAR images.However,there still remain a lot of difficulties in the related detection and classification algorithms.In this paper,a double-threshold oil spills detection based on characteristic possibility function was proposed for taking the best advantages of backscatter information contained in different grayscale levels.Both high and low levels of grayscale information were extracted from the backscatter image obtained from SAR signal.Then the density of pixels was evaluated by Gauss kernel to enhance the stability of the segmentation.By using high level segmentation result,look-alikes with large area are classified from oil spills by basic morphological analysis.By taking advantage of low threshold grayscale information,other look-alikes were distinguished from oil spills by means of probability likelihood function derived from morphological characters such as complexity,length to width ratio,Euler number,etc..Finally,the detected spills were obtained by fusing classification result of different level and other auxiliary information.The proposed method was implemented on EVISAT ASAR images of coastal region around Hong Kong received by the satellite ground station,CUHK.Experimental results demonstrated that real oil spills and look-alikes generated by other natural phenomena such as low wind speed and internal water turbulence could be distinguished accurately and effectively.This method can be further developed and has potential use in the surveillance and early alarm of marine and coastal oil leak accidents.","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":"69763238","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":"Distribution and Potential Degradation Risk Evaluation of Marsh Wetland in the Mt. Qomolangma National Nature Reserve: Distribution and Potential Degradation Risk Evaluation of Marsh Wetland in the Mt. Qomolangma National Nature Reserve","authors":"Fei Ma, Aike Kan, Jing-jian Li, L. Guan, Xiaoqin Chen","doi":"10.3724/SP.J.1047.2011.00594","DOIUrl":"https://doi.org/10.3724/SP.J.1047.2011.00594","url":null,"abstract":"","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"13 1","pages":"594-600"},"PeriodicalIF":0.0,"publicationDate":"2011-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69759964","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":"Index System and Transferring Methods to Build the National Society and Economy Grid Database: Index System and Transferring Methods to Build the National Society and Economy Grid Database","authors":"Yunfeng Hu, Qianqian Wang, Yue Liu, Jun Yu Li, W. Ren","doi":"10.3724/SP.J.1047.2011.00573","DOIUrl":"https://doi.org/10.3724/SP.J.1047.2011.00573","url":null,"abstract":"","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"13 1","pages":"573-578"},"PeriodicalIF":0.0,"publicationDate":"2011-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69760174","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":"Discovering Knowledge of Forest Carbon Density in Shimian County of Sichuan Province Based on Spatial Database: Discovering Knowledge of Forest Carbon Density in Shimian County of Sichuan Province Based on Spatial Database","authors":"Cunjian Yang, Jing Ni, Yang Zhang, Lin Mu","doi":"10.3724/SP.J.1047.2011.00579","DOIUrl":"https://doi.org/10.3724/SP.J.1047.2011.00579","url":null,"abstract":"","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"13 1","pages":"579-585"},"PeriodicalIF":0.0,"publicationDate":"2011-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69759820","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}