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Geographic information systems applications on an ATM-based distributed high performance computing system [chapter]

K. A. Hawick, H. A. James, K. J. Maciunas, F. A. Vaughan, A. L. Wendelborn, M. Buchhorn, M. Rezny, S. R. Taylor, M. D. Wilson
1997 Lecture Notes in Computer Science  
We present a distributed geographic information system (DGIS) built on a distributed high performance computing environment using a number of software infrastructural building blocks and computational  ...  Archiving, access and processing of scientific data are discussed in the context of geographic and environmental applications with special emphasis on the potential for local-area weather, agriculture,  ...  Acknowledgments Distributed High Performance Computing (DHPC) is a project of the Research Data Networks Cooperative Research Center (RDN CRC), is managed by the Advanced Computational Systems CRC, and  ... 
doi:10.1007/bfb0031697 fatcat:gms2bbwrprg2poplckjtpv62aq

GeoComputation 2009 [chapter]

Yong Xue, Forrest M. Hoffman, Dingsheng Liu
2009 Lecture Notes in Computer Science  
Grid computing technology is a new method for processing remotely sensed data.  ...  The emerging computational Grid technologies are expected to make feasible the creation of a computational environment handling many PetaBytes of distributed data, tens of thousands of heterogeneous computing  ...  The emerging computational Grid technologies are expected to make feasible the creation of a computational environment handling many PetaBytes of distributed data, tens of thousands of heterogeneous computing  ... 
doi:10.1007/978-3-642-01973-9_38 fatcat:tafxqi442vhqhj2uiw44gidtdm

Black Sea Catchment Observation System as a Portal for GEOSS Community

Dorian Gorgan, Gregory Giuliani, Nicolas Ray, Anthony Lehmann, Pierluigi Cau, Karim, Karel, Andreja
2013 International Journal of Advanced Computer Science and Applications  
The paper highlights the issues on the implementation of the portal by heterogeneous technologies, in order to support control flow, processing, and visualization of spatial data for GEOSS community, Earth  ...  , satellite image processing, report generation and visualization, citizens oriented applications, and virtual training center.  ...  ACKNOWLEDGMENT This research has been supported by the FP7 enviroGRIDS Project (Black Sea Catchment Observation and Assessment System supporting Sustainable Development), funded by the European Commission  ... 
doi:10.14569/specialissue.2013.030301 fatcat:v4cmzb6nfvg3lnhvtg4sc463na

Science on the TeraGrid

Daniel S. Katz, Scott Callaghan, Robert Harkness, Shantenu Jha, Krzysztof Kurowski, Steven Manos, Sudhakar Pamidighantam, Marlon Pierce, Beth Plale, Carol Song, John Towns
2010 Computational Methods in Science and Technology  
through common policies and operations, and supported by technology experts.  ...  It comprises supercomputing resources, storage systems, visualization resources, data collections, software, and science gateways, integrated by software systems and high bandwidth networks, coordinated  ...  Acknowledgements A large amount of work went into each of the projects described in this paper, many of which were supported by multiple contributors and multiple grants.  ... 
doi:10.12921/cmst.2010.si.01.81-97 fatcat:yn24grecefaoppummrcgr5q6te

Interactive Access and Processing of Multispectral Imagery: The User in the Loop [chapter]

Bruno Simões, Stefano Piffer, Angelo Carriero, Giuseppe Conti, Raffaele De Amicis
2010 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
multi-spectral imaging, and to process them in a very user friendly way.  ...  This paper illustrates their use in the context of forest management and planning, by presenting the results of a system that allows operators to access large repositories of geographical data, including  ...  Part of the achievements discussed in this paper as well as the data shown in the images were financed by the project -"Sviluppo di una Infrastruttura Dati Territoriali secondo una Architettura Orientata  ... 
doi:10.1007/978-3-642-13618-4_29 fatcat:w6edzzrs3jdedbehn3o22oxj3a

A Distributed Approach to Computational Earthquake Science: Opportunities and Challenges

Andrea Donnellan, Jay Parker, Margaret Glasscoe, Eric De Jong, Marlon Pierce, Geoffrey Fox, Dennis McLeod, John Rundle, Lisa Grant Ludwig
2012 Computing in science & engineering (Print)  
Increasingly, data are acquired through large investments and utilizing their full potential requires a coordinated effort by many groups and experts who are often distributed both geographically and by  ...  Advances in understanding earthquakes increasingly requires the integration of models and multiple distributed data products.  ...  We thank UNAVCO, SOPAC, Alaska Satellite Facility DAAC, and University of Nevada, Reno for productive ongoing discussion and collaboration.  ... 
doi:10.1109/mcse.2012.59 fatcat:k2efdkjqf5fcxdxsz5bgtnqadi

AWS Response to NASA JPL OSS ESO Mission Science RFI

Amazon Web Services, Inc.
2022 Zenodo  
(AWS) response to the NASA JPL Open Sourced Science (OSS) for NASA Earth System Observatory (ESO) Mission Science Data Processing Study Request for Information (RFI) GEC-2680-12152021.  ...  While Pangeo is not a fully prescriptive technical solution, the community advocates a combination of Kubernetes for container orchestration, Dask for distributed compute, and Jupyter notebooks to provide  ...  The example architecture for real-time data streaming and processing shown in Figure 1 provides an overview of an operational processing system on AWS using AWS Ground Station, serverless computing with  ... 
doi:10.5281/zenodo.5939936 fatcat:rrlmx5aw7ncixcvoznwmcxucmy

Application of Near Real-Time and Multiscale Three Dimensional Earth Observation Platforms in Disaster Prevention

Whey-Fone Tsai, Bo Chen, Jo-Yu Chang, Fang-Pang Lin, Charlie H. Chang, Chia-Yang Sun, Wen-Ray Su, Ming-Fu Chen, Dong-Sin Shih, Chih-Hsin Chen, Shyi-Ching Lin, Shiann-Jeng Yu
2011 International Journal of Automation and Smart Technology  
and automated simulation of image processing procedures, which accelerates orthophoto processing once raw data are received from satellites and provides appropriate images for disaster prevention decision-making  ...  projection systems, and small-sized personal computers with multiscale 3D display systems; (3) a 3D geographical information network platform that integrates data warehousing and cloud services, complies  ...  Large Scale-Satellite Remote Measurement Images captured by the Formosat-2 satellite [7] are shown in Figure 2 (a).  ... 
doi:10.5875/ausmt.v1i2.124 fatcat:eyj6wt4sx5dfrloah23iu36gua

Distributed frameworks and parallel algorithms for processing large-scale geographic data

Kenneth A Hawick, P.D Coddington, H.A James
2003 Parallel Computing  
GIS applications are often run operationally as part of decision support systems with both a human interactive component as well as large scale batch or server-based components.  ...  We describe some of the parallel techniques we have used: for data assimilation; for image and map data processing; for data cluster analysis; and for data mining.  ...  It aims to provide middleware support for applications such as decision support systems that require access and processing of data from distributed data archives, particularly for large-scale applications  ... 
doi:10.1016/j.parco.2003.04.001 fatcat:7ac2xqvpkra2bl5tbks7tkrfbe

BIG DATA STREAMING FOR REMOTE SENSING TIME SERIES ANALYTICS USING MAPREDUCE

Luiz Fernando Ferreira Gomes de Assis, Gilberto Ribeiro de Queiroz, Karine Reis Ferreira, Lúbia Vinhas, Eduardo Llapa, Alber Ipia Sanchez, Victor Maus, Gilberto Câmara
2017 Revista Brasileira de Cartografia  
Governmental agencies provide a large and open set of satellite imagery that can be used to track changes in geographic features over time.  ...  Hence, scientist cannot reproduce analytic results because of lack of computing infrastructure. Therefore, we propose a combination of streaming and map-reduce for analysis of time series data.  ...  In our case, images gathered by satellites are stored by a sequence in years processed by the provider so that it makes easier to build the time series.  ... 
doaj:7bfadc6ac3344e30adfd144cbf842a83 fatcat:vese5hpk6fhg7pxu25cpwfubs4

Cyber-Infrastructure for Data-Intensive Geospatial Computing [chapter]

Rajasekar Karthik, Alexandre Sorokine, Dilip R. Patlolla, Cheng Liu, Shweta M. Gupte, Budhendra L. Bhaduri
2018 Earth Observation Open Science and Innovation  
to large-scale supercomputers.  ...  Also, the platform is designed to be functionally and technologically sustainable for continued support of the US energy and environment mission for the coming decades.  ...  Acknowledgements The authors would like to thank a number of US federal agencies for their continued support for the research presented here.  ... 
doi:10.1007/978-3-319-65633-5_7 fatcat:emxl25rtqjhidam3adoepfoqdu

Citizen Observatories and the New Earth Observation Science

Alan Grainger
2017 Remote Sensing  
However, the Copernicus Programme vision of a seamless chain from satellite data to usable information in the hands of decision makers is still largely unrealized, and remote sensing science lacks a conceptual  ...  Achieving the Copernicus Chain will depend on the balance between: (a) the 'forward' momentum generated by the repetitive functioning of each component in the system, as a result of automatic operation  ...  Acknowledgments: This research was supported by the Science and Technology Facilities Council (STFC) under grant ST/K006738/1.  ... 
doi:10.3390/rs9020153 fatcat:dztjzn5vrzgmpjtpkrnv4yzk4m

Cloud Computing in Remote Sensing: Big Data Remote Sensing Knowledge Discovery and Information Analysis

Yassine SABRI, Fadoua Bahja, Aouad Siham, Aberrahim Maizate
2021 International Journal of Advanced Computer Science and Applications  
It is a data cube whose goal is to provide a spatial-feature-supported, efficient, and scalable multidimensional data analysis system to handle largescale RS data.  ...  It uses the long time-series remote sensing production process and analysis as examples to evaluate the performance of a feature data cube and distributed execution engine.  ...  To process the large-scale RS data efficiently, we built a distributed executed engine using the dask a distributed computing framework focusing on scientific data analysis.  ... 
doi:10.14569/ijacsa.2021.01205104 fatcat:iczi4zladvfbdgaf2u4m43eyw4

Computer Science Meets Ecology (Dagstuhl Seminar 17091)

Gustau Camps-Valls, Thhomas Hickler, Birgitta König-Ries, Marc Herbstritt
2017 Dagstuhl Reports  
The seminar proposed a distinctive perspective by promoting cross-fertilization in a unique environment and a unique set of individuals.  ...  All these issues are precisely the arena where computer science is concerned. The seminar motivation was rooted in the belief that ecology could largely benefit from modern computer science.  ...  Climate monitoring using satellite images and automatized weather stations has been organized at a large scale everywhere on earth.  ... 
doi:10.4230/dagrep.7.2.109 dblp:journals/dagstuhl-reports/Camps-VallsHK17 fatcat:m3l6exuqrrejdi6cyllnugzhwm

Thermal Analysis of Climate Regions Using Remote Sensing and Grid Computing

Cristina Serban, Carmen Maftei
2011 International Journal of Computer Networks & Communications  
intensive satellite image processing and no license for a commercial image processing tool.  ...  As the analysis is performed on large data sets, we used Grid Computing to implement a service for using on Computational Grids with a Web-based client interface, which will be greatly useful and convenient  ...  ACKNOWLEDGEMENTS The work described in this paper was funded by Grant PN II IDEI ID 262  ... 
doi:10.5121/ijcnc.2011.3103 fatcat:avowg4mtkvhwlkhbgx6yaj5eaq
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