检索结果-南通市图书馆

Geo-Spatial Information Science 2010年第1期13卷 8-15页

作者： sha zongyao XIE Yichun International School of Software Wuhan University 129 Luoyu Road Wuhan 430079 China

In this paper we propose a service-oriented architecture for spatial data integration (SOA-SDI) in the context of a large number of available spatial data sources that are physically sitting at different places, and develop web-based GIS systems based on SOA-SDI, allowing client applications to pull in, analyze and present spatial data from those available spatial data sources. The proposed architecture logically includes 4 layers or components; they are layer of multiple data provider services, layer of data in-tegration, layer of backend services, and front-end graphical user interface (GUI) for spatial data presentation. On the basis of the 4-layered SOA-SDI framework, WebGIS applications can be quickly deployed, which proves that SOA-SDI has the potential to reduce the input of software development and shorten the development period.

关键词： spatial data integration web-based GIS service-oriented architecture software

Remote sensing imagery in vegetation mapping: a review

在线全文

学校读者我要写书评

暂无评论

Journal of Plant Ecology 2008年第1期1卷 9-23页

作者： Yichun Xie zongyao sha Mei Yu Department of Geography and Geology Eastern Michigan UniversityYpsilantiMI 48197USA International Software School Wuhan UniversityWuhanHubei Province 430079China Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China

Aims Mapping vegetation through remotely sensed images involves various considerations,processes and *** availability of remotely sensed images due to the rapid advancement of remote sensing technology expands the horizon of our choices of imagery *** sources of imagery are known for their differences in spectral,spatial,radioactive and temporal characteristics and thus are suitable for different purposes of vegetation ***,it needs to develop a vegetation classification at first for classifying and mapping vegetation cover from remote sensed images either at a community level or species ***,correlations of the vegetation types(communities or species)within this classification system with discernible spectral characteristics of remote sensed imagery have to be *** spectral classes of the imagery are finally translated into the vegetation types in the image interpretation process,which is also called image *** paper presents an overview of how to use remote sensing imagery to classify and map vegetation *** Specifically,this paper focuses on the comparisons of popular remote sensing sensors,commonly adopted image processing methods and prevailing classification accuracy *** findings The basic concepts,available imagery sources and classification techniques of remote sensing imagery related to vegetation mapping were introduced,analyzed and *** advantages and limitations of using remote sensing imagery for vegetation cover mapping were provided to iterate the importance of thorough understanding of the related concepts and careful design of the technical procedures,which can be utilized to study vegetation cover from remote sensed images.

关键词： vegetation mapping remote sensing sensors image processing image classification

Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Arid Land 2016年第3期8卷 462-477页

作者： sha zongyao ZHONG Jialin BAI Yongfei TAN Xicheng Jonathan LI International Software School Wuhan University Department of Geography & Environmental Management University of Waterloo Institute of Botany Chinese Academy of Sciences

Spatio-temporal variations of vegetation phenology, e.g. start of green-up season（SOS） and end of vegetation season（EOS）, serve as important indicators of ecosystems. Routinely processed products from remotely sensed imagery, such as the normalized difference vegetation index（NDVI）, can be used to map such variations. A remote sensing approach to tracing vegetation phenology was demonstrated here in application to the Inner Mongolia grassland, China. SOS and EOS mapping at regional and vegetation type（meadow steppe, typical steppe, desert steppe and steppe desert） levels using SPOT-VGT NDVI series allows new insights into the grassland ecosystem. The spatial and temporal variability of SOS and EOS during 1998–2012 was highlighted and presented, as were SOS and EOS responses to the monthly climatic fluctuations. Results indicated that SOS and EOS did not exhibit consistent shifts at either regional or vegetation type level; the one exception was the steppe desert, the least productive vegetation cover, which exhibited a progressive earlier SOS and later EOS. Monthly average temperature and precipitation in preseason（February, March and April） imposed most remarkable and negative effects on SOS（except for the non-significant impact of precipitation on that of the meadow steppe）, while the climate impact on EOS was found to vary considerably between the vegetation types. Results showed that the spatio-temporal variability of the vegetation phenology of the meadow steppe, typical steppe and desert steppe could be reflected by the monthly thermal and hydrological factors but the progressive earlier SOS and later EOS of the highly degraded steppe desert might be accounted for by non-climate factors only, suggesting that the vegetation growing period in the highly degraded areas of the grassland could be extended possibly by human interventions.

关键词： phenological timing degradation harmonic analysis human activity climate restoration

Assessing the impacts of human activities and climate variations on grassland productivity by partial least squares structural equation modeling(PLS-SEM)

在线全文

学校读者我要写书评

暂无评论

Journal of Arid Land 2017年第4期9卷 473-488页

作者： sha zongyao XIE Yichun TAN Xicheng BAI Yongfei LI Jonathan LIU Xuefeng International Software School Wuhan University Department of Geography and Geology Eastern Michigan University Institute of Botany Chinese Academy of Sciences Department of Geography & Environmental Management University of Waterloo School of Communication and Information Engineering Shanghai University

The cause-effect associations between geographical phenomena are an important focus in ecological research. Recent studies in structural equation modeling（SEM） demonstrated the potential for analyzing such associations. We applied the variance-based partial least squares SEM（PLS-SEM） and geographically-weighted regression（GWR） modeling to assess the human-climate impact on grassland productivity represented by above-ground biomass（AGB）. The human and climate factors and their interaction were taken to explain the AGB variance by a PLS-SEM developed for the grassland ecosystem in Inner Mongolia, China. Results indicated that 65.5% of the AGB variance could be explained by the human and climate factors and their interaction. The case study showed that the human and climate factors imposed a significant and negative impact on the AGB and that their interaction alleviated to some extent the threat from the intensified human-climate pressure. The alleviation may be attributable to vegetation adaptation to high human-climate stresses, to human adaptation to climate conditions or/and to recent vegetation restoration programs in the highly degraded areas. Furthermore, the AGB response to the human and climate factors modeled by GWR exhibited significant spatial variations. This study demonstrated that the combination of PLS-SEM and GWR model is feasible to investigate the cause-effect relation in socio-ecological systems.

关键词： spatial modeling human-natural interaction grazing urbanization road network

Geoscience model service integrated workflow for rainstorm waterlogging analysis

在线全文

学校读者我要写书评

暂无评论

International Journal of Digital Earth 2021年第7期14卷 851-873页

作者： Xicheng Tan Jingguo Jiao Nengcheng Chen Fang Huang Liping Di Jinchuan Wang zongyao sha Jin Liu School of Remote Sensing and Information Engineering Wuhan UniversityWuhanPeople’s Republic of China The State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China School of Resources&Environment University of Electronic Science and Technology of ChinaChengduPeople’s Republic of China Center for Spatial Information Science and Systems George Mason UniversityFairfaxVAUSA School of Computer Science Wuhan UniversityWuhanPeople’s Republic of China

This paper proposed a geoscience model service integrated workflowbased rainstorm waterlogging analysis method to overcome the defects of conventional waterlogging analysis *** this research,we studied a general OGC WPS service invoking strategy,an automatic asynchronous invoking mechanism of WPS services in the BPEL workflow,and a distributed waterlogging analysis services integrated workflow to realize the reconstruction of a waterlogging analysis model based on the proposed *** proposed method can make use of the flexible adjustment capability of the workflow and not only overcomes the inherent defects of conventional geoscience analysis methods but also realizes the integration and calculation of distributed geospatial data,models and computing resources *** method has better construction convenience,execution reliability,extensibility and intelligence potential than a conventional method and has important value for dealing with more natural disasters and environmental challenges.

关键词： Geoscience model workflow waterlogging OGC geospatial service

Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Plant Ecology 2019年第3期12卷 395-408页

作者： zongyao sha Yuwei Wang Yongfei Bai Yujin Zhao Hua Jin Ya Na Xiaoliang Meng Department of Spatial Information&Digital Engineering School of Remote Sensing and Information EngineeringWuhan UniversityWuhanHubei 430079China Research Center of Spatial Information and Digital Engineering of the State Bureau of Surveying and Mapping WuhanHubei 430079China Institute of Botany the Chinese Academy of SciencesBeijing 100093China Inner Mongolia Institute of Grassland Surveying and Planning Hohhot 010051China Key Laboratory of Forage Cultivation College of GrasslandResources and EnvironmentInner Mongolia Agricultural UniversityHohhot 010018China

Aims Remote sensing technology has been proved useful in mapping grass-land vegetation *** features of vegetation cover can be recorded by optical sensors on board of different *** increas-ing popularity of applying unmanned aerial vehicle(UAV)to mapping plant cover,the study aims to investigate the possible applications and potential issues related to mapping leaf area index(LAI)through integra-tion of remote sensing imagery collected by multiple *** This paper applied the collected spectral data through field-based(FLD)and UAV-borne spectroradiometer to map LAI in a Sino-German experiment pasture located in the Xilingol grassland,Inner Mongolia,*** on FLD and UAV platforms were taken to measure spectral reflectance related to the targeted vegetation *** on eight vegetation indices(VIs)computed from the col-lected hyperspectral data,regression models were used to inverse *** spectral responses between FLD and UAV platforms were com-pared,and the regression models relating LAI with VIs from FLD and UAV were *** modeled LAIs by UAV and FLD platforms were analyzed in order to evaluate the feasibility of potential integra-tion of spectra data for mapping vegetation from the two *** Findings Results indicated that the spectral reflectance between FLD and UAV showed critical gaps in the green and near-infrared regions of the spec-trum over densely vegetated areas,while the gaps were small over sparsely vegetated *** VI values from FLD spectra were greater than their UAV-based *** of all the VIs,broadband gen-eralized soil-adjusted vegetation index(GESAVI)and narrow-band nNDVI2 were found to achieve the best results in terms of the accuracy of the inversed LAIs for both FLD and UAV *** conclude that GESAVI and nNDVI2 are the two promising VIs for both platforms and thus preferred for LAI inversion to carry spectra integration of the two pla

关键词： grassland leaf area index unmanned aerial vehicle vegetation index remote sensing

一种新的GIS智能分析框架——GIS智能体

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

武汉大学学报（信息科学版） 2005年第3期30卷 222-225页

作者：沙宗尧胡自锋武汉大学国际软件学院武汉市珞喻路129号430079

提出了GIS智能体(GIS intelligent agent, GIS- IA)的概念、结构及实现原理。实例研究表明,基于GIS IA的智能分析框架是实现空间决策分析的一种有效途径。

关键词： GIS智能体智能空间决策面向对象空间实体对象

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

利用道路网眼实现路网的增量式更新

武汉大学学报（信息科学版） 2019年第8期44卷 1107-1114页

作者：沙宗尧王安汪辛夷武汉大学遥感信息工程学院

获取现势性的交通道路数据是数字城市和智慧城市建设的基础,基于传统测绘的道路网更新方法存在一定局限性,而基于众源数据及行车轨迹数据更新道路网近年来则倍受关注。首先提出了一种新的道路变化增量更新方法,该方法先对历史道路网建... 详细信息

获取现势性的交通道路数据是数字城市和智慧城市建设的基础,基于传统测绘的道路网更新方法存在一定局限性,而基于众源数据及行车轨迹数据更新道路网近年来则倍受关注。首先提出了一种新的道路变化增量更新方法,该方法先对历史道路网建立面拓扑结构,生成由道路网组成的最小闭合面域(道路网眼);然后以道路网眼为基本控制单元,综合利用轨迹点上下文距离信息和隐马尔可夫模型(hidden Markov model,HMM),提取失配轨迹点和失配轨迹段;最后采用缓冲区分析和最大密度法对失配轨迹提取骨架线,创建新增道路,增量更新历史道路网。实验结果表明,以道路网眼为控制单元,利用轨迹点上下文距离分析和HMM捕获失配轨迹点,可提高失配轨迹点的提取效率,改善道路网更新效果。该方法可用于大规模路网的增量式更新。

关键词： GPS 隐马尔可夫模型失配轨迹增量更新

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

单源最短路径算法的图示教学设计与实践

测绘通报 2010年第4期 58-61页

作者：沙宗尧边馥苓武汉大学国际软件学院湖北武汉430079

单源最短路径是GIS网络分析的一个重点内容,对GIS、空间信息技术等相关专业的学生来讲,由于经典的最短路径算法(Dijkstra)描述较抽象,让学生掌握单源最短路径算法的本质思想较难。提出用图示教学法来教授GIS中单源最短路径算法的基本原... 详细信息

单源最短路径是GIS网络分析的一个重点内容,对GIS、空间信息技术等相关专业的学生来讲,由于经典的最短路径算法(Dijkstra)描述较抽象,让学生掌握单源最短路径算法的本质思想较难。提出用图示教学法来教授GIS中单源最短路径算法的基本原理和思路,详细介绍了图示表示的过程,可以为最短路径算法及其应用的教学过程提供参考。

关键词： GIS 网络分析图示教学法单源最短路径

R树索引环境下空间信息服务平台的开发及应用

在线全文

学校读者我要写书评

暂无评论

计算机应用 2014年第A2期34卷 135-139页

作者：张宁刘渊沙宗尧武汉大学国际软件学院武汉430079

通过研究并实现空间信息服务平台,以解决数据共享和应用功能共享为主要目标。在数据共享上,采用了基于空间数据库的索引技术及基于地理标记语言(GML)的数据交换技术;在应用服务上,采用基于Web服务的服务功能开发技术,从而满足空间信息应... 详细信息

通过研究并实现空间信息服务平台,以解决数据共享和应用功能共享为主要目标。在数据共享上,采用了基于空间数据库的索引技术及基于地理标记语言(GML)的数据交换技术;在应用服务上,采用基于Web服务的服务功能开发技术,从而满足空间信息应用(Web、桌面系统及移动终端)的数据和功能需求。重点论述了基于R树索引技术进行空间数据的存储和检索,实现空间数据的快速检索,采用基于Web服务技术,实现空间信息应用功能共享,从而支持空间数据查询、获取及空间分析功能。最后以一个典型的土地规划应用为例,测试并论证了基于R树索引及空间信息服务技术的有效性。

关键词：空间数据库 R树地理标记语言面向服务的体系架构 Web服务