Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378670
Yan Zhou, Haitian Xie
Along with the development of the sensor system and sensor network, the wide applications of sensor networks have arisen at the historic moment. In reality, all kinds of sensors monitor every aspect of our life, which provides various services and brings the challenge: how to effectively integrate those distributed sensor resources and then can be used to find more advanced information or implement the sharing of resources are the big problems to be solved. Based on the framework of Sensor Web Enablement(SWE) which was proposed by Open GIS Consortium (OGC)and combined with the function of web crawler, we study and find Sensor Observation Service (SOS) service which is the core components of the SWE then we design a system based on the web crawler technology and the Istituto Scienze della Terra Sensor Observation Service (Istsos) architecture. The design of sensor network technology integration architecture includes three parts. The layer of data access which is the lowest layer encapsulates the access to the database or other source of resources. The layer of business logic it provides the core operation of component which was named Request Operator, this layer is used for processing various requests from the lowest layer in order to return the classes of listening. The layer of web and the client is connected, which can provide some thin client of SOS. The published server includes the ability of new services creation, addition of new sensors and relative metadata, visualization, and manipulation of stored observations, registration of new measures and setting of system properties like observable properties and data quality codes. In order to get sensor data, web crawler technology is used in our research, which can make us get sensor data from the target website, and the standardized sensor data is gotten by filtering the original data and then the data is uploaded to the database of Istsos with the standardized format. At last, the implementation of SOS architecture has been configured. The test's results show that the integrated architecture of services can effectively obtain the required sensor data and display them graphically.
随着传感器系统和传感器网络的发展，传感器网络的广泛应用应运而生。在现实生活中，各种各样的传感器监控着我们生活的方方面面，提供着各种各样的服务，同时也带来了挑战:如何有效地整合那些分布在各处的传感器资源，从而可以用来发现更高级的信息或实现资源的共享，是需要解决的大问题。基于开放地理信息系统联盟(OGC)提出的传感器Web使能(SWE)框架，结合网络爬虫的功能，研究并找到了传感器Web使能的核心组件——传感器观测服务(SOS)服务，并基于网络爬虫技术和Istituto Scienze della Terra传感器观测服务(Istsos)体系结构设计了一个基于网络爬虫技术的系统。传感器网络技术集成体系结构的设计包括三个部分。数据访问层是最底层，它封装了对数据库或其他资源的访问。业务逻辑层提供组件的核心操作，称为请求操作符，该层用于处理来自最低层的各种请求，以返回侦听的类。web层与客户端连接，可以提供SOS的瘦客户端。发布的服务器包括创建新服务、添加新传感器和相关元数据、可视化和操作存储的观测值、注册新度量和设置系统属性(如可观察属性和数据质量代码)的能力。为了获取传感器数据，我们的研究中使用了网络爬虫技术，它可以使我们从目标网站获取传感器数据，通过对原始数据的过滤得到标准化的传感器数据，然后以标准化的格式上传到Istsos的数据库中。最后，对SOS体系结构的实现进行了配置。测试结果表明，该服务集成架构能够有效地获取所需的传感器数据并以图形化方式显示。
{"title":"The integration technology of sensor network based on web crawler","authors":"Yan Zhou, Haitian Xie","doi":"10.1109/GEOINFORMATICS.2015.7378670","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378670","url":null,"abstract":"Along with the development of the sensor system and sensor network, the wide applications of sensor networks have arisen at the historic moment. In reality, all kinds of sensors monitor every aspect of our life, which provides various services and brings the challenge: how to effectively integrate those distributed sensor resources and then can be used to find more advanced information or implement the sharing of resources are the big problems to be solved. Based on the framework of Sensor Web Enablement(SWE) which was proposed by Open GIS Consortium (OGC)and combined with the function of web crawler, we study and find Sensor Observation Service (SOS) service which is the core components of the SWE then we design a system based on the web crawler technology and the Istituto Scienze della Terra Sensor Observation Service (Istsos) architecture. The design of sensor network technology integration architecture includes three parts. The layer of data access which is the lowest layer encapsulates the access to the database or other source of resources. The layer of business logic it provides the core operation of component which was named Request Operator, this layer is used for processing various requests from the lowest layer in order to return the classes of listening. The layer of web and the client is connected, which can provide some thin client of SOS. The published server includes the ability of new services creation, addition of new sensors and relative metadata, visualization, and manipulation of stored observations, registration of new measures and setting of system properties like observable properties and data quality codes. In order to get sensor data, web crawler technology is used in our research, which can make us get sensor data from the target website, and the standardized sensor data is gotten by filtering the original data and then the data is uploaded to the database of Istsos with the standardized format. At last, the implementation of SOS architecture has been configured. The test's results show that the integrated architecture of services can effectively obtain the required sensor data and display them graphically.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124648053","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}
Based on the principle of the proximity of spatial elements and the equilibrium of spatial data's size, this paper presents a data partitioning and merging method based on spatial filling curve and collection of spatial features. In the data reducing section, this method takes the principle of dynamic tree merging and reduces the times of data serialization and deserialization. The experiment shows that such methods can cut down the time of every process' computing and merging, improve the load balancing degree, and make a great improvement to the efficiency of parallel algorithm and expandability.
{"title":"A spatial data partitioning and merging method for parallel vector spatial analysis","authors":"Qiang Qiu, Xiao Yao, Cuiting Chen, Yu Liu, Jinyun Fang","doi":"10.1109/GEOINFORMATICS.2015.7378651","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378651","url":null,"abstract":"Based on the principle of the proximity of spatial elements and the equilibrium of spatial data's size, this paper presents a data partitioning and merging method based on spatial filling curve and collection of spatial features. In the data reducing section, this method takes the principle of dynamic tree merging and reduces the times of data serialization and deserialization. The experiment shows that such methods can cut down the time of every process' computing and merging, improve the load balancing degree, and make a great improvement to the efficiency of parallel algorithm and expandability.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116621082","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378619
Yunfan Li, G. Gao, Bo Cao, L. Zhong, Yao Liu
Modern urban buildings have complex model structure, and the building boundary extraction from airborne LiDAR data is still a relatively difficult problem. This paper proposes a dual-threshold Alpha Shapes algorithm and contour simplification algorithm based on least squares to extract the initial building contour. Dual-threshold Alpha Shapes algorithm consists of four steps: (1) dual-threshold a-shape acquisition, (2) based on a simple ring breadth-first search query algorithm, (3) the corresponding path screening, (4) deriving a closed contour (4) a closed contour, (5) Least Squares contour simplification. Experiments are conducted to demonstrate the efficiency of the proposed method on two datasets.
{"title":"Building boundaries extaction from point clouds using dual-threshold Alpha Shapes","authors":"Yunfan Li, G. Gao, Bo Cao, L. Zhong, Yao Liu","doi":"10.1109/GEOINFORMATICS.2015.7378619","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378619","url":null,"abstract":"Modern urban buildings have complex model structure, and the building boundary extraction from airborne LiDAR data is still a relatively difficult problem. This paper proposes a dual-threshold Alpha Shapes algorithm and contour simplification algorithm based on least squares to extract the initial building contour. Dual-threshold Alpha Shapes algorithm consists of four steps: (1) dual-threshold a-shape acquisition, (2) based on a simple ring breadth-first search query algorithm, (3) the corresponding path screening, (4) deriving a closed contour (4) a closed contour, (5) Least Squares contour simplification. Experiments are conducted to demonstrate the efficiency of the proposed method on two datasets.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121121700","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378625
Ruqiong Qiu, Hongwei Duan, Xiaomin Yu, Li Zheng, Qi Cheng
Because of the GML specification's widely use, GML application semantic data provides massive, rich geographic semantic data for semantic web, standardized and consistent semantic query has become the key point of intelligent application for GML application semantic data. GeoSPARQL standard proposed by OGC can make consistent representation and query for heterogeneous, incompatible geographic semantic data, so it can be used as a base for consistency semantic query. This paper firstly uses ontology construction and ontology matching technology to map GML application ontology and GeoSPARQL ontology. Secondly, reasoning technology and semantic reasoning engine are used to realize a consistency semantic query experiment based on GeoSPARQL standard. The query experiment shows that this method is effective and feasible, and has a certain universal.
{"title":"An ontology matching method for GML application ontology to GeoSPARQL ontology","authors":"Ruqiong Qiu, Hongwei Duan, Xiaomin Yu, Li Zheng, Qi Cheng","doi":"10.1109/GEOINFORMATICS.2015.7378625","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378625","url":null,"abstract":"Because of the GML specification's widely use, GML application semantic data provides massive, rich geographic semantic data for semantic web, standardized and consistent semantic query has become the key point of intelligent application for GML application semantic data. GeoSPARQL standard proposed by OGC can make consistent representation and query for heterogeneous, incompatible geographic semantic data, so it can be used as a base for consistency semantic query. This paper firstly uses ontology construction and ontology matching technology to map GML application ontology and GeoSPARQL ontology. Secondly, reasoning technology and semantic reasoning engine are used to realize a consistency semantic query experiment based on GeoSPARQL standard. The query experiment shows that this method is effective and feasible, and has a certain universal.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128231969","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378694
Di Chen, Xinyan Zhu, Han Yue, S. Bao
An important issue is to check and identify the inconsistency of multi-representation data, when building multiscale spatial database. The representations of the same geographic entity in real world are different in terms of location, shape, and spatial relationships. In order to efficiently integrate multi-scale spatial data, we present a seamless representation model of spatial data based on its innate characteristics. Meanwhile, we put forward a complete consistency evaluation model for multi-scale representation. Vertically, it is divided into three levels, including macro, medium, and micro consistencies. Horizontally, it involves location, spatial relationship, and semantics, etc. The quantitative similarity measurement methods of spatial relationship are presented, which are applicable to the case of collapse in generalization. As case study, three spatial scenes with different scales are used to prove the completeness and rationality of our assessment system.
{"title":"Consistency constraint and assessment model of multi-scale representation","authors":"Di Chen, Xinyan Zhu, Han Yue, S. Bao","doi":"10.1109/GEOINFORMATICS.2015.7378694","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378694","url":null,"abstract":"An important issue is to check and identify the inconsistency of multi-representation data, when building multiscale spatial database. The representations of the same geographic entity in real world are different in terms of location, shape, and spatial relationships. In order to efficiently integrate multi-scale spatial data, we present a seamless representation model of spatial data based on its innate characteristics. Meanwhile, we put forward a complete consistency evaluation model for multi-scale representation. Vertically, it is divided into three levels, including macro, medium, and micro consistencies. Horizontally, it involves location, spatial relationship, and semantics, etc. The quantitative similarity measurement methods of spatial relationship are presented, which are applicable to the case of collapse in generalization. As case study, three spatial scenes with different scales are used to prove the completeness and rationality of our assessment system.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131035619","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378617
Q. Luan, Xiaoyi Fang, Caihua Ye, Yonghong Liu
In order to improve efficiency of defending agricultural drought and resolve the problem that kinds of service software are distributed and isolated, we designed and developed a synthetic system that integrated drought monitoring and forecasting and irrigation amount forecasting into a platform based on technology of the internet of things, hybrid programming and parallel computing. This system has three advantages. First, we improved algorithms of drought monitoring and forecasting so that products made by this system have a higher accuracy. Second, we designed a function called one-click-complete that needs only one click and can complete all business through one batch process, which could enhance efficiency for emergency handling. Third, we optimized the feature of high cohesion and low coupling from the view of business information flow and technology architecture, which could ensure stability. Now this system has been applied in most provinces in northern China and shows an excellent prospect for integrated service of drought monitoring and forecasting and irrigation amount forecasting.
{"title":"An integrated service system for agricultural drought monitoring and forecasting and irrigation amount forecasting","authors":"Q. Luan, Xiaoyi Fang, Caihua Ye, Yonghong Liu","doi":"10.1109/GEOINFORMATICS.2015.7378617","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378617","url":null,"abstract":"In order to improve efficiency of defending agricultural drought and resolve the problem that kinds of service software are distributed and isolated, we designed and developed a synthetic system that integrated drought monitoring and forecasting and irrigation amount forecasting into a platform based on technology of the internet of things, hybrid programming and parallel computing. This system has three advantages. First, we improved algorithms of drought monitoring and forecasting so that products made by this system have a higher accuracy. Second, we designed a function called one-click-complete that needs only one click and can complete all business through one batch process, which could enhance efficiency for emergency handling. Third, we optimized the feature of high cohesion and low coupling from the view of business information flow and technology architecture, which could ensure stability. Now this system has been applied in most provinces in northern China and shows an excellent prospect for integrated service of drought monitoring and forecasting and irrigation amount forecasting.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133441984","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378715
Linlin Chang, Danlin Yu, Jianghua Zheng
With the great change of global climate and urbanization, urban drought is becoming a more and more urgent problem that affects human beings. This research investigates specifically urban vulnerability towards drought in the arid regions, and claims that Urban Vulnerability to Drought (UVD) refers to the sensitivity and resilience towards urban droughts. Our evaluation of urban drought vulnerability intends to establish certain metrics of a particular urban system. The evaluation shall provide insights towards better management and sustainable development of the city in the long run. From a systematic point of view, we built a set of regional comprehensive vulnerability assessment indicator system. We adopt the entropy method and collect factors contributing to drought for cities on the northern slope of Tianshan Mountains in 2013. Data was from the city construction and social economic statistical yearbooks. Seven cities on the northern slope of Tianshan Mountains were selected to calculate a drought vulnerability metrics. Detailed analysis of the factors reveals critical factors that contribute to arid city's drought vulnerability.
随着全球气候的急剧变化和城市化进程的加快，城市干旱已成为影响人类生活的一个日益紧迫的问题。本文对干旱区城市干旱脆弱性进行了具体研究，认为城市干旱脆弱性(urban vulnerability to drought, UVD)是指城市对干旱的敏感性和恢复力。我们对城市干旱脆弱性的评估旨在建立特定城市系统的某些指标。评估将为更好地管理和城市的长期可持续发展提供见解。从系统的角度，构建了一套区域综合脆弱性评价指标体系。采用熵值法对2013年天山北坡城市干旱影响因子进行了分析。数据来源于城市建设和社会经济统计年鉴。选取天山北坡7个城市进行干旱脆弱性指标计算。通过对影响因素的详细分析，揭示了影响干旱城市干旱脆弱性的关键因素。
{"title":"Assessment of urban vulnerability to drought in northern slope of TianShan Mountains","authors":"Linlin Chang, Danlin Yu, Jianghua Zheng","doi":"10.1109/GEOINFORMATICS.2015.7378715","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378715","url":null,"abstract":"With the great change of global climate and urbanization, urban drought is becoming a more and more urgent problem that affects human beings. This research investigates specifically urban vulnerability towards drought in the arid regions, and claims that Urban Vulnerability to Drought (UVD) refers to the sensitivity and resilience towards urban droughts. Our evaluation of urban drought vulnerability intends to establish certain metrics of a particular urban system. The evaluation shall provide insights towards better management and sustainable development of the city in the long run. From a systematic point of view, we built a set of regional comprehensive vulnerability assessment indicator system. We adopt the entropy method and collect factors contributing to drought for cities on the northern slope of Tianshan Mountains in 2013. Data was from the city construction and social economic statistical yearbooks. Seven cities on the northern slope of Tianshan Mountains were selected to calculate a drought vulnerability metrics. Detailed analysis of the factors reveals critical factors that contribute to arid city's drought vulnerability.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132485378","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378623
Peihong Fu, Yuye Gong
The relationship between surface slope and vegetation cover change is the basis for vegetation protection adjusting measures to differing conditions. Researching the spatial relationships between vegetation cover change and ground slope has great significance. Based on MODIS data, the results obtained in this paper demonstrate a temporal-spatial distribution and trends of NDVI in Hubei Province, and described the characteristics of variation in NDVI under different slope, using the method of MVC and Single Linear Regression Analysis with ArcGIS and ENVI. The main factors affecting changes of NDVI under different slope were discussed. These may provide basic protection for vegetation in Hubei Province.
{"title":"Analyzing variation of NDVI and its relationship with slope in Hubei Province, China","authors":"Peihong Fu, Yuye Gong","doi":"10.1109/GEOINFORMATICS.2015.7378623","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378623","url":null,"abstract":"The relationship between surface slope and vegetation cover change is the basis for vegetation protection adjusting measures to differing conditions. Researching the spatial relationships between vegetation cover change and ground slope has great significance. Based on MODIS data, the results obtained in this paper demonstrate a temporal-spatial distribution and trends of NDVI in Hubei Province, and described the characteristics of variation in NDVI under different slope, using the method of MVC and Single Linear Regression Analysis with ArcGIS and ENVI. The main factors affecting changes of NDVI under different slope were discussed. These may provide basic protection for vegetation in Hubei Province.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130241717","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378680
Wen-Tao Huang, Xinwen Cheng
Evaluation of Arable Land Suitability has many complicated and various influence factors. There are lots of methods about weight determination of factors in similar researches. Most of them are to be improved for the accuracy, and some evaluation models are restricted to a specific area for only considering natural attribute, ignoring the social and economic attribute. Three Scale AHP Method was used in this paper to determine the grades-the weight of factors. An Evaluation method was proposed based on fuzzy mathematics. Firstly, the evaluation matrix of the lowest layer factors by expert evaluation method is introduced, and the lowest layer factors by four fuzzy evaluation models are identified after normalized. Secondly, it combined with the weight to calculate the evaluation results of this layer and take the result as fuzzy relation matrix of previous layer. In turn until the top layer. Finally, we can obtain the final evaluation results. The results show that this method can be well applied to land suitability evaluation.
{"title":"Fuzzy evaluation of Arable Land Suitability based on three scale AHP method","authors":"Wen-Tao Huang, Xinwen Cheng","doi":"10.1109/GEOINFORMATICS.2015.7378680","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378680","url":null,"abstract":"Evaluation of Arable Land Suitability has many complicated and various influence factors. There are lots of methods about weight determination of factors in similar researches. Most of them are to be improved for the accuracy, and some evaluation models are restricted to a specific area for only considering natural attribute, ignoring the social and economic attribute. Three Scale AHP Method was used in this paper to determine the grades-the weight of factors. An Evaluation method was proposed based on fuzzy mathematics. Firstly, the evaluation matrix of the lowest layer factors by expert evaluation method is introduced, and the lowest layer factors by four fuzzy evaluation models are identified after normalized. Secondly, it combined with the weight to calculate the evaluation results of this layer and take the result as fuzzy relation matrix of previous layer. In turn until the top layer. Finally, we can obtain the final evaluation results. The results show that this method can be well applied to land suitability evaluation.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134555005","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}
Pub Date : 2015-06-19DOI: 10.1109/GEOINFORMATICS.2015.7378681
Jinsongdi Yu, P. Baumann
The global Earth Science Systems (ESS) cooperation requires both flexible and interoperable Web Service support built on large varieties of Earth Observation archives. Given the complexity and dynamics of each observation and the large number of disciplines involved, Open GIS Consortium (OGC) proposed a modular standardization approach to facilitate ESS data retrieval and analytics. Its latest Web Coverage Service (WCS) 2.0 standard follows the approach and presents as an entry point to build ESS information exchange blocks for the improvement of global Earth Science Systems cooperation in the coming Big Data Era.
{"title":"Serving spatio-temporal grids: How standards help","authors":"Jinsongdi Yu, P. Baumann","doi":"10.1109/GEOINFORMATICS.2015.7378681","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378681","url":null,"abstract":"The global Earth Science Systems (ESS) cooperation requires both flexible and interoperable Web Service support built on large varieties of Earth Observation archives. Given the complexity and dynamics of each observation and the large number of disciplines involved, Open GIS Consortium (OGC) proposed a modular standardization approach to facilitate ESS data retrieval and analytics. Its latest Web Coverage Service (WCS) 2.0 standard follows the approach and presents as an entry point to build ESS information exchange blocks for the improvement of global Earth Science Systems cooperation in the coming Big Data Era.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134036524","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}
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