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The quality and accuracy of remote sensing instruments have been improved significantly, however, rapid processing of large-scale remote sensing data becomes the bottleneck for remote sensing quantitative retrieval applications. The remote sensing quantitative retrieval is a data-intensive computation application, which is one of the research issues of high throughput computation. The remote sensing quantitative retrieval Grid workflow is a high-level core component of remote sensing Grid, which is used to support the modeling, reconstruction and implementation of large-scale complex applications of remote sensing science. In this paper, we intend to study middleware components of the remote sensing Grid – the dynamic Grid workflow based on the remote sensing quantitative retrieval application on Grid platform. We designed a novel architecture for the remote sensing Grid workflow. According to this architecture, we constructed the Remote Sensing Information Service Grid Node (RSSN) with Condor. We developed a graphic user interface (GUI) tools to compose remote sensing processing Grid workflows, and took the aerosol optical depth (AOD) retrieval as an example. The case study showed that significant improvement in the system performance could be achieved with this implementation. The results also give a perspective on the potential of applying Grid workflow practices to remote sensing quantitative retrieval problems using commodity class PCs.  相似文献   

3.
Abstract

Digital Earth is an important field of information technology and a research frontier of geosciences in the 21st century. So far, the Grid computing technique is one of the best solutions for Digital Earth infrastructure. Digital Earth can only be realised through the interaction of people, heterogeneous computing resources, information systems, and instruments, all of which are geographically and organisationally dispersed. Earth observation (EO) includes information acquisition, processing and applications. Information acquisition provides a vast amount of spatial data for building the fabric resource infrastructure. Information processing means that spatial information processing middleware is used with large amounts of secure Grid computing resources for real-time processing of all kinds of spatial data. We are currently working on the development of core-middleware for EO data processing and applications for the Digital Earth Prototype System, which is available in the Institute of Remote Sensing Applications (IRSA), Chinese Academy of Sciences (CAS) The further results will be available soon.  相似文献   

4.
RASAT Earth Observation Satellite is the second remote sensing satellite of The Scientific and Technological Research Council of Turkey (TUBITAK) Space Technologies Search Institute (TUBITAK Space). Generally, the first step to utilize the satellite imagery in GIS applications is the accurate geometric correction of the imagery. But, the geometric correction process of RASAT images is somewhat difficult due to insufficient orbit data and lack of satellite imagery processing software with RASAT model. Although the geolocation of RASAT images is investigated in some recent studies, subpixel accuracies cannot be achieved. In this study, different geometric correction methods and combination of them are tested with a more interactive workflow that uses the results of other approaches. Results show that these approaches can be used for the geometric correction of RASAT like pushbroom satellite images with insufficient orbit data and better geolocation accuracies can be achieved by different geometric correction approaches.  相似文献   

5.
数字地球网格计算雏议   总被引:8,自引:0,他引:8  
数字地球将为人类提供关于我们地球的海量自然和人文数据与信息 ,是我们生活的行星的一个多分辨率 ,四维虚拟表达。网格计算被认为是解决数字地球问题的最好方法。数字地球问题的解决必须通过异构的计算资源 ,信息系统 ,设备 ,人之间的相互协作 ,而这些都是地理位置或组织结构分散的。本文介绍我们在生成用于解决数字地球问题的核心中间件的研究工作以及结果。因为网格计算本身是一门比较新的领域 ,网格计算与数字地球的有机结合将为数字地球提供一个全新的计算工具  相似文献   

6.
Flood management is a set of activities that have to be carried out in collaboration with multiple agencies. Advanced flood information with early warning generated using remote sensing satellite technologies can help the agencies to effectively manage the situation on ground. Various environmental parameters and forecasts provided by different agencies can be analyzed and compared with historical flood events for generating probable flood event alerts. The information (environmental parameters) provided by the agencies are heterogeneous and noncompliant to standards and distributed in nature. Synchronization of data from distributed resources and automation of data analysis process for flood management is a primary prerequisite for faster and efficient decision-making. Web 2.0-based web services enable data creation, sharing, communication, and collaboration on web. Spatial data sharing on web 2.0 for making quality of service using open-source software for efficient flood management is a challenge. Available software architectures proposed for risk and environmental crisis management are too generic in nature and needs lot of modification for flood management. An event-driven model coupled with data standardization procedures using service-oriented architecture provides an effective framework for flood management. In this paper, a framework capable of collecting heterogeneous distributed flood-related information for analyzing and alerting probable flood events is proposed. The framework has been implemented to generate automatic flood extent maps, by analyzing the distributed satellite data (as service). The automation of flood delineation process reduces the overall flood product generation time. Open-source web tools have been utilized in development of spatial information system to visualize and analyze the actual situation on ground facilitating overall decision-making process.  相似文献   

7.
地球系统空间观测:从科学卫星到月基平台   总被引:1,自引:0,他引:1  
郭华东 《遥感学报》2016,20(5):716-723
五十多年来,全球性对地观测已形成强大的技术能力和系统体系,在不同应用领域发挥了重要作用。随着对陆地、大气、海洋研究的深入,地球系统科学和全球变化研究正在向空间对地观测技术提出新的重大战略性需求。本文描述了面向全球变化应对、发展全球变化系列科学卫星的方案;提出面向宏观地球科学现象探测、构建月基对地观测系统的设想;同时,作为宏观地球科学现象研究的一个方向,论述了利用地球科学卫星和月基对地观测技术开展全球变化"三极"对比研究的思路。  相似文献   

8.
ABSTRACT

Geo-information on settlements from Earth Observation offers a base for objective and scalable monitoring of the evolution of cities and settlements, including their location, extent and other attributes. In this work, we deploy the best available global knowledge on the presence of human settlements and built-up structures derived from Earth Observation to advance the understanding of the human presence on Earth. We start from a concept of Generalised Settlement Area to identify the Earth surface within which any built-up structure is present. We further characterise the resulted map by using an agreement map among the state of the art of remote sensing products mapping built-up areas or other strictly related semantic abstractions as urban areas or artificial surfaces. The agreement map is formed by a grid of 1?km2, where each cell is classified according to the number of EO-derived products reporting any positive occurrence of the abstractions related to the presence of built-up structures. The paper describes the characteristics of the Generalised Settlement Area, the differences in the agreement map across geographic regions of the world, and outlines the implications for potential users of the EO-derived products used in this study.  相似文献   

9.
Abstract

Recent developments in space technology and exponential increase in demand of earth observation data from space have generated a requirement of a data processing environment, where users can discover the data and process, based on their requirements. Grid Services for Earth Observation Image Data Processing (GEOID) is proposed with a motivation to cater to future earth observation applications requirements of digital earth. This paper discusses the overview of the GEOID architecture, its deployment scenario, use-cases and simulation results. Core technologies used for implementation include Grid computing and Service Oriented Architecture. GEOID provides capability to address requirements of applications such as real-time monitoring, time series data processing and processing with user required quality to meet the requirements of end user applications. GEOID allows users to access the archive products or the raw satellite data stream and process their area of interest. Simulations show that applications such as time series analysis show considerable improvement in processing time by using GEOID.  相似文献   

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网格在地理信息系统中的应用   总被引:2,自引:0,他引:2  
当前GIS技术的发展遇到了一些技术瓶颈,如各种异构数据难以兼容、共享导致无法充分表达和利用空间数据,特别是当数字地球概念提出以后,现有的计算机技术无法完成对整个地球空间信息这么庞大的海量数据的处理。WebGIS随着Internet技术的成熟而出现,它试图解决一部分空间数据共享问题,但是由于网络基础体系结构的限制,WebGIS不可能突破上述的技术瓶颈。直到网格的出现,才为从本质上解决空间数据利用及共享问题提供了契机,网格技术也成为解决数字地球问题的最佳途径。  相似文献   

12.
An unsupervised machine-learning workflow is proposed for estimating fractional landscape soils and vegetation components from remotely sensed hyperspectral imagery. The workflow is applied to EO-1 Hyperion satellite imagery collected near Ibirací, Minas Gerais, Brazil. The proposed workflow includes subset feature selection, learning, and estimation algorithms. Network training with landscape feature class realizations provide a hypersurface from which to estimate mixtures of soil (e.g. 0.5 exceedance for pixels: 75% clay-rich Nitisols, 15% iron-rich Latosols, and 1% quartz-rich Arenosols) and vegetation (e.g. 0.5 exceedance for pixels: 4% Aspen-like trees, 7% Blackberry-like trees, 0% live grass, and 2% dead grass). The process correctly maps forests and iron-rich Latosols as being coincident with existing drainages, and correctly classifies the clay-rich Nitisols and grasses on the intervening hills. These classifications are independently corroborated visually (Google Earth) and quantitatively (random soil samples and crossplots of field spectra). Some mapping challenges are the underestimation of forest fractions and overestimation of soil fractions where steep valley shadows exist, and the under representation of classified grass in some dry areas of the Hyperion image. These preliminary results provide impetus for future hyperspectral studies involving airborne and satellite sensors with higher signal-to-noise and smaller footprints.  相似文献   

13.
以测绘业务管理系统的研发为例,剖析了测绘业务工作流的特点,探讨实现测绘工作流的一些关键技术问题.将基于Web的工作流技术引入测绘领域,实现了测绘部门管理业务流程的自动化、协同化,支撑了信息资源的共享.  相似文献   

14.
For ages, links between environment, climate and their impacts on human health have been observed and studied. Research to improve our understanding of environmental key determinants of infectious diseases can provide innovative information for adaptation strategies and lead to new tools optimizing surveillance, vector control measures, and disease prevention. As earth observation satellites can measure meteorological and environmental parameters, NASA and CNES have separately engaged in an innovative use of their earth observation infrastructure development programs: space tools addressing public health. As NASA and CNES have fruitful cooperation for satellite development missions for years, both health programs have proposed to explore a new area of collaboration: satellites addressing health issues. As members of international organizations, NASA and CNES could promote their common views towards the Group on Earth Observations (GEO) Community of Practice for Health & Environment and the Committee on Earth Observation Satellites (CEOS) Societal Benefit Area on Health.  相似文献   

15.
针对广西测绘基准管理运维和服务分散、机械和线下管理业务的不足,基于互联网、卫星导航定位和地理信息等技术构建广西现代测绘基准管理与综合服务平台,对广西现代测绘基准进行统筹监管、智能化运维管理和差分服务(C/S)与线上一体化服务(B/S).通过对卫星导航定位基准站并网管理,提升政务服务和安全监管的能力;利用视频监控、电子运维和委托保管制度实现运维的智能化;利用全线上申请、全球卫星导航系统(GNSS)自动化解算和多级多星定位服务,提升用户申请和使用[JP3]服务的便捷性和高效性,平台的建设明显提高了服务的质量和运维的水平.   相似文献   

16.
The effort and cost required to convert satellite Earth Observation (EO) data into meaningful geophysical variables has prevented the systematic analysis of all available observations. To overcome these problems, we utilise an integrated High Performance Computing and Data environment to rapidly process, restructure and analyse the Australian Landsat data archive. In this approach, the EO data are assigned to a common grid framework that spans the full geospatial and temporal extent of the observations – the EO Data Cube. This approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance measurement. We demonstrate the utility of the approach with rapid time-series mapping of surface water across the entire Australian continent using 27 years of continuous, 25?m resolution observations. Our preliminary analysis of the Landsat archive shows how the EO Data Cube can effectively liberate high-resolution EO data from their complex sensor-specific data structures and revolutionise our ability to measure environmental change.  相似文献   

17.
With the advent of Remote Sensing via Satellites, specially the LANDSAT providing a synoptic overview of our Earth, a powerful new tool aiding in regional terrain analysis for natural resources surveys is now available to earth scientistis. Many significant earth features identifiable on LANDSAT images help to update regional surveys. Sequential coverage is an added advantage. Based on terrain analysis using LANDSAT imagery, and utilising the principles of visual interpretation to develop satellite photo-analytical keys highlighting landforms, drainage features and the like it is possible to delineate hydromorphic units for groundwater studies on a regional scale. The paper highlights the utility of LANDSAT imagery interpretation in small scale hydromorphic mapping for groundwater studies by citing examples from North and Central India. The advantage of conjunctive use of satellite, aircraft ann ground data in enhancing survey results is mentioned. The known and expected hydrologic conditions in the different hydromorphic units mapped have been given. The study approach is relatively new in India, and can be very useful in planning regional groundwater exploration programmes. The method is speedy and economical. Possibilities of similar studies in a host of other areas of survey such as flood studies, erosion surveys add a new dimension to the study of our Earth.  相似文献   

18.
智慧地球时代测绘地理信息学的新使命   总被引:1,自引:0,他引:1  
本文首先指出智慧地球是数字地球、物联网和云计算等有机的融合,随后分析了智慧地球的主要特性,并重点阐述了智慧地球时代测绘地理信息学的新使命。作者认为我们已经从绘制地形图为主的小测绘发展成为当今以地理空间信息服务为主的大测绘,现在必须抓住机遇,不失时机地拓展智慧地球时代测绘地理信息学的新使命,将传统测绘提升为能够实时、智能地采集和处理海量空间数据、提供空间信息和知识服务的智慧测绘新阶段。  相似文献   

19.
基于工作流技术的动态GIS服务链研究   总被引:12,自引:0,他引:12  
提出了一种基于工作流技术的动态GIS服务链的实现方法,该方法使用抽象GIS服务组合服务链,由GIS服务动态选择机制将抽象服务映射到具体服务,并结合工作流技术,将工作流描述语言描述的GIS服务链流程送入工作流引擎,由工作流引擎管理和监控服务链的运行。  相似文献   

20.
Earth observation (EO)-based mapping and analysis of natural hazards plays a critical role in various aspects of post-disaster aid management. Spatial very high-resolution Earth observation data provide important information for managing post-tsunami activities on devastated land and monitoring re-cultivation and reconstruction. The automatic and fast use of high-resolution EO data for rapid mapping is, however, complicated by high spectral variability in densely populated urban areas and unpredictable textural and spectral land-surface changes. The present paper presents the results of the SENDAI project, which developed an automatic post-tsunami flood-extent modelling concept using RapidEye multispectral satellite data and ASTER Global Digital Elevation Model Version 2 (GDEM V2) data of the eastern coast of Japan (captured after the Tohoku earthquake). In this paper, the authors developed both a bathtub-modelling approach and a cost-distance approach, and integrated the roughness parameters of different land-use types to increase the accuracy of flood-extent modelling. Overall, the accuracy of the developed models reached 87–92%, depending on the analysed test site. The flood-modelling approach was explained and results were compared with published approaches. We came to the conclusion that the cost-factor-based approach reaches accuracy comparable to published results from hydrological modelling. However the proposed cost-factor approach is based on a much simpler dataset, which is available globally.  相似文献   

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