2013 21st International Conference on Geoinformatics最新文献

Applications of GIS and RS in distributed hydrological models GIS和RS在分布式水文模型中的应用

2013 21st International Conference on Geoinformatics Pub Date : 2013-10-10 DOI: 10.1109/Geoinformatics.2013.6626148

Yuanpei Liu, Shixiong Hu, Peiyuan Li

引用次数: 0

Multi-objective land use optimization based on low-carbon development using NSGA-II 基于NSGA-II的低碳发展多目标土地利用优化

2013 21st International Conference on Geoinformatics Pub Date : 2013-10-10 DOI: 10.1109/Geoinformatics.2013.6626051

Wenlong Jing, Heli Lu, Yaochen Qin, Chao Sun, Lin Jiang, Jincai Zhao

引用次数: 3

Analysis of structural characteristics and driving factors for polder landscape based on Landsat ETM+ data in the East Chaohu Area, China 基于Landsat ETM+数据的东巢湖圩田景观结构特征及驱动因素分析

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626024

Li Wu, W. Ji

引用次数: 1

Research on mapping technology of GIS based on business-oriented marine remote sensing monitoring 面向业务的海洋遥感监测GIS制图技术研究

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626109

Xiangchao Kong, Ruifu Wang, Quanbo Xin, Nannan Liu, Maojing Xu

引用次数: 1

The design of landslide monitoring and early-warning system in Opencast based on non-metric digital camera 基于非公制数码相机的Opencast滑坡监测预警系统设计

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626116

Zhu'an Chen, Liping Deng

引用次数: 2

Character of dust weather and its relationship with snow cover during late fall and early spring in Gansu and Inner Mongolia 甘肃、内蒙古秋末早春沙尘天气特征及其与积雪的关系

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626019

Dihua Cai, H. Duan, N. Guo, Hui Han, Qiguo Yang

{"title":"Character of dust weather and its relationship with snow cover during late fall and early spring in Gansu and Inner Mongolia","authors":"Dihua Cai, H. Duan, N. Guo, Hui Han, Qiguo Yang","doi":"10.1109/Geoinformatics.2013.6626019","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626019","url":null,"abstract":"Based on in-situ monthly sand-dust days data atmeteorological stations and MOD10A2 data, which are 8-day composite snow cover observation at 500m spatial resolutionduring November and next March from 2000 to 2008. The spatial and temporal distributionof sand-dust weather and snow cover during late fall and early spring in Gansu and Inner Mongolia were investigated via monitoring sand-dust days and snow cover fraction. The correlations between sand-dust weather and snow coverwere analyzed. The result shows that there weretwo centersof sand-dust in the study area, i.e., the western XilinGol League in Inner Mongolia and the west of Alxaleague in Inner Mongolia to the north of Yellow river in Gansu. Whilethe most extensive and persistent snow cover was located in high latitude and elevation, where sand-dust rarely appeared. During late fall and early spring, the days of sand-dust with different intensity had seasonal variations withslight fluctuation at the beginning and then increased rapidly. The snow cover fraction is just the reverse, it increasedat first and then decreased. On the annual level, the sand-dust represented a significant reduction, andthe snow cover fraction exhibited a weak rising trend. Therefore, to some extent, the correlation between snow cover fraction and sand-dust days is negative. It indicates that snow cover has some restraining effects to sanddust weather, andthe inhibiting ability is closely related to the intensity of sand-dust, the amount of the snowfall, and the distribution of sand source.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126716584","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}

引用次数: 0

GML-based 3D spatial data model for geoscience information in coal mines 基于gml的煤矿地学信息三维空间数据模型

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626037

Zhangang Wang, Weijia Gao, Honggang Qu, Zixing Wu

{"title":"GML-based 3D spatial data model for geoscience information in coal mines","authors":"Zhangang Wang, Weijia Gao, Honggang Qu, Zixing Wu","doi":"10.1109/Geoinformatics.2013.6626037","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626037","url":null,"abstract":"It is becoming increasingly important to be able to query and exchange digital geoscientific information between data providers and users. Efficient data interchange over the Web requires standardizing data exchange formats and describing the geometric and semantic representation of 3D spatial objects in an underground coal mine. A spatial data model is presented to integrate subsurface features in an existing concept and thematic semantics for the top-level objects in coal mines. The model is designed using UML, and the XML implementation is a GML application schema, making it compatible with standard service interfaces for geospatial data published by the Open Geospatial Consortium (OGC). The digital representation of coal mines may be thought of as a set of features - geological features, roadway features and equipment features, inheriting from GML class. The model also defines the relations for the most relevant topographic objects in coal mines by using XLinks and extending the concept of `aspect' defined in the Geoscience Spatial Framework from the British Geological Survey. The partitioning of the geological model and roadway features is introduced to demonstrate the feasibility of the model for visualization purposes and thematic queries.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114882928","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}

引用次数: 1

Analysis of spatial heterogeneity of agricultural landscape in the lower Yellow river plains based on characteristic scale 基于特征尺度的黄河下游平原农业景观空间异质性分析

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626198

Zhu Zhu, Shengyan Ding, Xunling Lu, Qian Tang, Guofu Liang

{"title":"Analysis of spatial heterogeneity of agricultural landscape in the lower Yellow river plains based on characteristic scale","authors":"Zhu Zhu, Shengyan Ding, Xunling Lu, Qian Tang, Guofu Liang","doi":"10.1109/Geoinformatics.2013.6626198","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626198","url":null,"abstract":"Heterogeneity and stability of the agricultural landscape is the premise to maintain the stability and high-efficient of agricultural ecosystem. Disturbance regimes have been recognized as the causes of the landscape heterogeneity. In this paper, the Fengqiu County, a typical agricultural region in the lower reaches of the Yellow River plains, was selected as the study area. Based on the TM imagery interpretation results of the study area and by the software of ArcGIS 9.3, GS+ 7.0, and Fragstats 3.3, the characteristics scale for the study of landscape composition and configuration of the study area was discussed. By means of the landscape trajectory built by landscape evenness and contagion index, and the buffer zones divided from the south to north of the Yellow river, we analyzed the landscape heterogeneity and gradient changes of disturbance intensity of the study area. The study results are as follows: (1) the characteristics scale of the study area was 2500m. At this characteristic scale, the evenness and contagion index showed a negative correlation, and formed a certain spatial pattern; (2) the disturbance intensity was increasing from south to north of the Yellow River, and its spatial difference continuously decreased; (3) the configuration of landscape patches become gradually complicated along the spatial gradient. The composition uniformity of landscape patches showed gradually decreased. Meanwhile, the landscape configuration was more and more sensitive for the changes of landscape composition.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115569655","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}

引用次数: 0

Upper level ontology and integration assessment modeling in digital watershed 数字流域上层本体与集成评价建模

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626088

Shanzhen Yi, Y. Sun

{"title":"Upper level ontology and integration assessment modeling in digital watershed","authors":"Shanzhen Yi, Y. Sun","doi":"10.1109/Geoinformatics.2013.6626088","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626088","url":null,"abstract":"With urbanization and environmental changes, water resources safety such as flood risk and drought have been faced with more challenges than ever before. Integrated assessment and modeling methods provided an effective resolution approach for this problem. However, different geographic data sources and modeling methods have produced barriers for sharing, integration, and communication in integrated assessment modeling. Ontology as a formalized description of domain knowledge provided the sharing conception and terms for watershed assessment and modeling. This paper first discusses ontology in digital watershed modeling. An ontology framework of digital watershed is given based on earth and environmental terminology ontologies (SWEET) and Web ontology language (OWL) representation. Then, the ontologies for integrated watershed flood risk assessment were designed. Ontology-guided watershed flood risk assessment workflow was developed, including cause factor and feature selection, criteria definition, and indicator assessment. Based on digital watershed ontology, entity data schema and field data schema were derived. Finally, an integrated assessment framework of digital watershed was developed, including data sources and GIS tools, watershed integrated assessment ontologies, integrated assessment fusion methods, and assessment database.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115990926","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}

引用次数: 4

XML-based model libraries application in Geographic Information System 基于xml的模型库在地理信息系统中的应用

2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626105

Shuyi Zhang, Yi Li, Yong Gao

引用次数: 0