DOCSLIB.ORG

Mapserver, Rasdaman, and Eoxserver) Enabling the Online Data Access to Heterogeneous Multi-Dimensional Satellite Data

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Mapserver, Rasdaman, and Eoxserver) Enabling the Online Data Access to Heterogeneous Multi-Dimensional Satellite Data 786 Introducing WCS 2.0, EO-WCS, and Open Source Implementations (MapServer, rasdaman, and EOxServer) Enabling the Online Data Access to Heterogeneous Multi-dimensional Satellite Data Christian SCHILLER, Stephan MEISSL, Peter BAUMANN, Stephan KRAUSE, Gerhard TRIEBNIG, Fabian SCHINDLER-STRAUSS, Andrei AIORDACHIOIAE, Jinsongdi YU und Dimitar MISEV Abstract While the Open Geospatial Consortium (OGC) Web Map Service (WMS) is widely known and deployed as View Service to serve portrayals of data (e.g. maps as images), the access to true data (Download Service) via the OGC Web Coverage Service (WCS) has, so far, rarely been implemented. Special needs exist for Earth Observation (EO) satellite Datasets. The recently published Version 2.0 of WCS, if combined with the new WCS Earth Observation Application Profile (EO-WCS), provides the required functionalities for subsetting in area and time of interest, reprojecting, accessing selectable (spectral) bands, extracting of Time-Series and Stitched Mosaics, and the integration into service chains. Furthermore, standardized EO metadata are exchanged with each EO-WCS service request. This paper informs about the new features of WCS 2.0 (OGC 09-110r3) and the new EO-WCS (OGC 10-140). Furthermore, the Open Source reference implementations of WCS 2.0 (within MapServer 6.0, and rasdaman) and of EO-WCS (EOxServer) are presented. Introduction The European Space Agency (ESA) is coordinating the Heterogeneous Mission Accessibility (HMA) initiative (HMA WIKI, 2011) to foster international standardization relating to the information infrastructure for Earth Observation (EO). In this context ESA actively cooperates with the Open Geospatial Consortium (OGC) like through the Online Data Access project (HMA-FO Task-3, ESA contract No. 22507/09/I-LG, industrial team EOX, Jacobs University Bremen, Spot Image, GIM), which has supported the specification of WCS 2.0 (OGC 09-110r3) and the EO–WCS (OGC 10-140) and some implementations. OGC Web Coverage Service 2.0 The OGC Web Coverage Service (WCS) supports electronic retrieval of geospatial data as “coverages” (information representing space/time-varying phenomena) for client-side exploitation. WCS provides detailed descriptions, defines a rich syntax for requests, and returns data in its original semantics (as opposed to the pictures provided by WMS). Strobl, J., Blaschke, T. & Griesebner, G. (Hrsg.) (2011): Angewandte Geoinformatik 2011. © Herbert Wichmann Verlag, VDE VERLAG GMBH, Berlin/Offenbach. ISBN 978-3-87907-508-9. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). Introducing WCS 2.0, EO-WCS, and Open Source Implementations 787 The definition of WCS 2.0 (OGC 09-110r3) is based on OGC's Core/Extension Model, the GML Application Schema for Coverages (OGC 09-146r1), OWS Common (OGC 06- 121r9), and OGC Abstract Topic 6 (OGC 07-011). It supports coverage types given in OGC 09-146r1. Following OGC 09-110r3 the operations required by a WCS implementation are: (a) GetCapabilities – service metadata and information on offered coverages. Example: http://wcs-server/ows?service=WCS&version=2.0.0&request=GetCapabilities (b) DescribeCoverage – detailed metadata on selected coverages metadata, Example: http://wcs-server/ows?service=wcs&version=2.0.0&request=DescribeCoverage& coverageid=Test_Scene_1 (c) GetCoverage – request for processing and returning of a selected coverage including domain subsetting operation which is subdivided into trimming and slicing. A trim is performed on a dimension and a lower and upper bound. A slice is performed on a dimension and a position. Examples: http://wcs-server/ows?service=wcs&version=2.0.0&request=GetCoverage& CoverageId=Test_Scene_1&FORMAT=image/tiff&mediatype=multipart/mixed &subset=x(2100,2300)&subset=y(3870,4070) http://wcs-server/ows?service=wcs&version=2.0.0&request=GetCoverage& CoverageId=Test_Scene_1&FORMAT=image/tiff& SUBSET=x,http://www.opengis.net/def/crs/EPSG/0/4326(17,17.4)& SUBSET=y,http://www.opengis.net/def/crs/EPSG/0/4326(48,48.3)& OutputCRS=http://www.opengis.net/def/crs/EPSG/0/3035& &SIZE=x(200)&SIZE=y(200) OGC's Core/Extension Model foresees that the Core of new standards shall only stipulate basic functionalities and definitions. For WCS 2.0 this means that upcoming Extensions to the WCS Core, or Application Profiles, may add additional operation types (see EO-WCS). For a WCS implementation the Core plus at least one protocol binding (e.g. GET-KVP, POST-XML, or SOAP), and one Coverage encoding format Extension (e.g. GeoTIFF, NetCDF, or JPEG2000) are required. Extensions may reference existing definitions of earlier versions (e.g. WCS 1.1, OGC 07-067r5). WCS 2.0 Earth Observation Application Profile (EO-WCS) The EO-WCS specializes the generic WCS 2.0 by bundling several specifications and adding requirements on an implementation. Commonly used EO domain terminology is mapped into the EO-WCS terminology as given in Table 1. 788 C. Schiller, S. Meißl, P. Baumann et al. Tab. 1: Vocabulary as used in the EO-WCS (not comprehensive) EO terminology EO-WCS terminology scene / image / product / raster data Dataset (image) / raw data (image) /orthoimage mosaic / seamless mosaic Dataset google-like mosaic / composite Stitched Mosaic mosaic (not radiometrically adjusted) series / Time-Series Dataset Series collection Dataset Series rectified grid grid having regular spacing in a projected or geographic CRS referenceable grid not rectified, but associated with (one or more) coordi- nate transformations which relate the image or engi- neering CRS to a projected or geographic CRS To efficiently handle and manage Time-Series, Stitched Mosaic Datasets, and related EO metadata additional concepts (Figs. 2, 3, and 4) are introduced in EO-WCS. It defines EO coverages which have a latitude/longitude or projected x/y spatial extend and a temporal validity extend. They are derived from rectified and referencable coverage (Fig. 1a and 1b) as defined in OGC 09-146r1. Further, a Dataset Series (Fig. 1c) is defined as a collection (virtual container) of Stitched Mosaics and/or Datasets where the Dataset Series itself is not a coverage. Since the DescribeCoverage request targets only coverages, the need for the specification of the new operation request DescribeEOCoverageSet, to gather information about a Dataset Series and its content, becomes evident. This DescribeEOCoverageSet request allows to limit the query by applying trimming and slicing in space and time. dataset series a) b) c) Fig. 1: EO-WCS concepts: rectified / referencable grid coverage and Dataset Series The coverageIDs provided in the DescribeEOCoverageSet result enables the user (client) to issue repeated GetCoverage requests to access the actual data of the Dataset Series. Using this approach of repeated single requests fosters interoperability, reduces the burden on the supplier side (better load balancing) and does not require the definition and use of 3D- CRSs. The second new concept introduced in EO-WCS is that of Stitched Mosaics (Fig. 2). These are homogeneous collections of spatially non-overlapping subsets of Datasets, accessible as coverages. Introducing WCS 2.0, EO-WCS, and Open Source Implementations 789 Fig. 2: EO-WCS concept of a Stitched Mosaic This means Datasets are patched together (google like), while sharing a common grid. One example might be “Provide a mosaic of all available data for the current growing season, with the newest Dataset on top”. A Stitched Mosaic can be interpreted (i.e., requested) as a single coverage where the Datasets have to keep their respective EO metadata over the full lifetime. This implies that when new images arrive they will replace older parts and that the existing EO metadata for these pixels have to be adjusted accordingly, as has the footprint of the underlying image part. The Dataset Series concept introduced in EO-WCS permits that Datasets are members in multiple Dataset Series. This enables satellite data providers, which often have huge archives organized in collections (e.g. based on sensors), to make those collections available via an EO-WCS interface without the need for data duplication (Fig. 3). Every EO Coverage contains EO Metadata, consisting of an EarthObservation record as defined in the OGC Earth Observation Metadata Profile of Observations and Measurements (OGC 10-157r2) and a lineage describing the history of operations leading to the coverage on hand. More details can be found in OGC 10-140. Fig. 3: Various Datasets (e.g. a collection) may again form together a Dataset Series Finally, the GetCoverage request provides the access mechanism to the data. The GetCoverage request is unchanged over WCS Core (OGC 09-110r3), except that for EO coverages slicing is disallowed, as it would leave the EO Metadata undefined. 790 C. Schiller, S. Meißl, P. Baumann et al. Open Source Implementations MapServer “MapServer”1 is probably the most famous Open Source web mapping project. Its strength lies in the fast and efficient serving of raster data, which was one of the main reasons why it has been chosen for the first implementation of the new WCS 2.0. This included the support of XML/POST protocol binding, which is now also available to WCS 1.1. These and many other improvements are included in the upcoming release of MapServer 6.0. The implementation is limited to grid coverages (Fig. 1a,b). and can be seen as the first Reference Implementation which proves the overall concepts. rasdaman “rasdaman”2is the second Open Source implementation which provides access via a WCS 2.0 interface. It is a middleware which extends standard relational database systems with the ability to store and retrieve multi-dimensional raster data (arrays) of unlimited size through an SQL-style query language (rasql) allowing to phrase select/insert/update/delete statements against a raster database. Queries are optimized on server side. The petascope component (a servlet package) of rasdaman provides service interfaces based on the OGC WCS and also Web Coverage Processing Service WCPS (Fig.
Load more

Recommended publications
  • Spatio-Temporal Retrieval with Rasdaman
    Spatio-Temporal Retrieval with RasDaMan Peter Baumann, Andreas Dehmel, Paula Furtado, Roland Ritsch, Norbert Widmann FORWISS (Bavarian Research Center for Knowledge-Based Systems) Orleansstr.34, D-81667 Munich, Germany Dial-up: voice +49-89-48095-207, fax - 203 E-Mail {baumann,dehmel,furtado,ritsch,widmann}@forwiss.de Abstract important research has been accomplished in several subfields. In practice, BLOBs still prevail in multimedia, while statistics and OLAP have developed their own Database support for multidimensional arrays is methods of MDD management. an area of growing importance; a variety of high- The RasDaMan array DBMS has been developed by volume applications such as spatio-temporal data FORWISS in the course of an international project partly management and statistics/OLAP become focus sponsored by the European Commission [Bau97]. The of academic and market interest. overall goal of RasDaMan is to provide classic database RasDaMan is a domain-independent array services in a domain-independent way on MDD database management system with server-based structures. Based on a formal algebraic framework query optimization and evaluation. The system is [Bau99], RasDaMan offers a query language [Bau98a], fully operational and being used in international which extends SQL-92 [ISO92] with declarative MDD projects. We will demonstrate spatio-temporal operators, and an ODMG 2.0 conformant programming retrieval using the rView visual query client. interface [Cat96]. Server-based query evaluation provides Examples will encompass 1-D time series, 2-D several optimization techniques and a specialized storage images, 3-D and 4-D voxel data. The real-life manager. The latter combines MDD tiling with spatial data sets used stem from life sciences, geo indexing and compression whereby an administration sciences, numerical simulation, and climate interface allows to change default strategies for research.
    [Show full text]
  • An Array Database Approach for Earth Observation Data Management and Processing
    International Journal of Geo-Information Article An Array Database Approach for Earth Observation Data Management and Processing Zhenyu Tan 1, Peng Yue 2,3,* and Jianya Gong 2 1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China; [email protected] 2 School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; [email protected] 3 Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China * Correspondence: [email protected] Received: 2 June 2017; Accepted: 17 July 2017; Published: 19 July 2017 Abstract: Over the past few years, Earth Observation (EO) has been continuously generating much spatiotemporal data that serves for societies in resource surveillance, environment protection, and disaster prediction. The proliferation of EO data poses great challenges in current approaches for data management and processing. Nowadays, the Array Database technologies show great promise in managing and processing EO Big Data. This paper suggests storing and processing EO data as multidimensional arrays based on state-of-the-art array database technologies. A multidimensional spatiotemporal array model is proposed for EO data with specific strategies for mapping spatial coordinates to dimensional coordinates in the model transformation. It allows consistent query semantics in databases and improves the in-database computing by adopting unified array models in databases for EO data. Our approach is implemented as an extension to SciDB, an open-source array database. The test shows that it gains much better performance in the computation compared with traditional databases. A forest fire simulation study case is presented to demonstrate how the approach facilitates the EO data management and in-database computation.
    [Show full text]
  • IAC-18-F1.2.3 Page 1 of 9 IAC-18.B1.4.4X44924 Bigdatacube: Making Big Data a Commodity Dimitar Miševa*, Peter Baumanna
    69th International Astronautical Congress (IAC), Bremen, Germany, 1-5 October 2018. Copyright ©2018 by the International Astronautical Federation (IAF). All rights reserved. IAC-18.B1.4.4x44924 BigDataCube: Making Big Data a Commodity Dimitar Miševa*, Peter Baumanna, Vlad Merticariua, Dimitris Bellosb, Stefan Wiehlec a Department of Computer Science & Electrical Engineering, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany, {first name initial}.{last name}@jacobs-university.de b cloudeo AG, Ludwigstrasse 8, 80539 Munich, Germany, {first name initial}{last name}@cloudeo.group c Remote Sensing Technology Institute / SAR Signal Processing, German Aerospace Center (DLR), Henrich-Focke- Straße 4, 28199 Bremen, Germany, {first name}.{last name}@dlr.de * Corresponding Author Abstract The BigDataCube project aims at advancing the innovative datacube paradigm – i.e., analysis-ready spatio- temporal raster data – from the level of a scientific prototype to pre-commercial Earth Observation (EO) services. To this end, the European Datacube Engine (in database lingo: ‖Array Database System‖), rasdaman, will be installed on the public German Copernicus hub, CODE-DE, as well as in a commercial cloud environment to exemplarily offer analytics services and to federate both, thereby demonstrating an integrated public/private service. Started in January 2018 with a runtime of 18 months, BigDataCube will complement the batch-oriented Hadoop service already available on CODE-DE with rasdaman thereby offering important additional functionality, in particular a paradigm of ―any query, any time, on any size‖, strictly based on open geo standards and federated with other data centers. On this platform novel, specialized services can be established by third parties in a fast, flexible, and scalable manner.
    [Show full text]
  • Web Coverage Service (WCS) V0.8.4
    Open Geospatial Consortium Inc. Date: 2003-08-27 Reference number of this OGC™ Project Document: OGC 03-065r6 Version: 1.0.0 Category: OpenGIS® Implementation Specification Editor: John D. Evans Web Coverage Service (WCS), Version 1.0.0 © OGC 2003 – All rights reserved i OGC 03-065r6 Copyright notice Copyright 2002, 2003, BAE SYSTEMS Mission Solutions Copyright 2002, 2003, CubeWerx Inc. Copyright 2002, 2003, George Mason University Copyright 2002, 2003, German Aerospace Center – DLR Copyright 2002, 2003, Intergraph Mapping and Geospatial Solutions Copyright 2002, 2003, IONIC SOFTWARE s.a. Copyright 2002, 2003, National Aeronautics and Space Administration (U.S.) Copyright 2002, 2003, Natural Resources Canada Copyright 2002, 2003, PCI Geomatics Copyright 2002, 2003, Polexis, Inc. The companies listed above have granted the Open Geospatial Consortium, Inc. (OGC) a nonexclusive, royalty-free, paid up, world- wide license to copy and distribute this document and to modify this document and distribute copies of the modified version. This document does not represent a commitment to implement any portion of this specification in any company’s products. OGC’s Legal, IPR and Copyright Statements are found at http://www.opengeospatial.org/about/?page=ipr&view=ipr_policy NOTICE Permission to use, copy, and distribute this document in any medium for any purpose and without fee or royalty is hereby granted, provided that you include the above list of copyright holders and the entire text of this NOTICE. We request that authorship attribution be provided in any software, documents, or other items or products that you create pursuant to the implementation of the contents of this document, or any portion thereof.
    [Show full text]
  • Rasdaman Documentation Release 10.0.0
    rasdaman documentation Release 10.0.0 rasdaman team Oct 01, 2021 CONTENTS 1 Introduction3 1.1 Features......................................4 1.2 Rasdaman Application Domains.........................6 1.3 OGC geo standards support...........................7 1.4 How to Contribute................................7 2 Installation and Administration Guide9 2.1 Preface......................................9 2.2 Getting Started..................................9 2.3 Directories and Configuration Files....................... 38 2.4 rasdaman Architecture.............................. 42 2.5 Access Interfaces................................. 47 2.6 Server Administration.............................. 49 2.7 Security...................................... 65 2.8 Backup...................................... 65 2.9 Example Database and Programs........................ 66 2.10 Uninstall rasdaman................................ 68 2.11 Troubleshooting................................. 68 3 Contributing to Rasdaman 71 3.1 Development Contributions........................... 72 3.2 Documentation.................................. 72 3.3 Git resources................................... 77 3.4 C++ Guidelines.................................. 80 3.5 Adding Tests................................... 83 3.6 rasdaman Code Guide.............................. 100 3.7 Geo services................................... 120 4 Query Language Guide 129 4.1 Preface...................................... 129 4.2 Introduction................................... 129 4.3 Terminology..................................
    [Show full text]
  • Array Database Assessment Working Group
    Array Database Assessment Working Group Peter Baumann, Kwo-Sen Kuo (chairs) [gamingfeeds.com] ADA:WG :: RDA P8 :: ©2016 rasdaman About ADA:WG . Array Database Assessment WG . Creature of Big Data Interest Group . Chairs: Peter Baumann, Kwo-Sen Kuo . Info: • https://www.rd-alliance.org/groups/array-database-working-group.html (WG page) • https://rd-alliance.org/group/case-statement/array-database-working-group.html (case stmt) • https://www.rd-alliance.org/group/array-database-assessment-wg/wiki/array-database- assessment-working-group (wiki - DO NOT USE file repo!) ADA:WG :: RDA P8 :: ©2016 rasdaman Structural Variety in Big Data . Stock trading: 1-D sequences (i.e., arrays) . Social networks: large, homogeneous graphs . Ontologies: small, heterogeneous graphs . Climate modelling: 4D/5D arrays . Satellite imagery: 2D/3D arrays (+irregularity) . Genome: long string arrays . Particle physics: sets of events . Bio taxonomies: hierarchies (such as XML) . Documents: key/value stores = sets of unique identifiers + whatever . etc. ADA:WG :: RDA P8 :: ©2016 rasdaman Structural Variety in Big Data . Stock trading: 1-D sequences (i.e., arrays) . Social networks: large, homogeneous graphs . Ontologies: small, heterogeneous graphs . Climate modelling: 4D/5D arrays . Satellite imagery: 2D/3D arrays (+irregularity) . Genome: long string arrays . Particle physics: sets of events . Bio taxonomies: hierarchies (such as XML) . Documents: key/value stores = sets of unique identifiers + whatever . etc. ADA:WG :: RDA P8 :: ©2016 rasdaman Structural Variety in Big Data sets + hierarchies + graphs + arrays) ADA:WG :: RDA P8 :: ©2016 rasdaman ADA:WG :: RDA P8 :: ©2016 rasdaman ADA:WG :: RDA P8 :: ©2016 rasdaman Datacube ServicesADA:WG :: RDA:: RDA-DE P8 :: :: ©©20162015 rasdamanrasdaman Array Analytics .
    [Show full text]
  • Big Data Tools Service Training Manual I
    D3.2 Big Data Toolbox Training Manual I WP3 – Large Scale Demonstrators Authors: Dimitar Misev, Peter Baumann, Gedas Vaitkus Date: 11.02.20 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824478. D3.2 Big Data Toolbox Training Manual I Full Title Promoting the international competitiveness of European Remote Sensing companies through cross-cluster collaboration Grant Agreement No 824478 Acronym PARSEC Start date 1st May 2019 Duration 30 months EU Project Officer Milena Stoyanova Project Coordinator Emmanuel Pajot (EARSC) Date of Delivery Contractual 29.02.2020 Actual 26.02.2020 Nature Report Dissemination Level Public Lead Beneficiary RASDAMAN Lead Author Dimitar Misev Email [email protected] Other authors Peter Baumann (RASDAMAN), Gedas Vaitkus (GEOMATRIX) Reviewer(s) Weronika Borejko (EARSC) Keywords big data, EO, datacubes, array databases, OGC services, rasdaman, sagris Document History Version Issue date Stage Changes Contributor 1.0 11.02.2020 Draft First draft RASDAMAN 1.1 12.02.2020 Draft Add list of acronyms RASDAMAN Disclaimer Any dissemination of results reflects only the author’s view and the European Commission is not responsible for any use that may be made of the information it contains Copyright message © PARSEC consortium, 2019 This deliverable contains original unpublished work except where clearly indicated otherwise. Acknowledgment of previously published material and of the work of others has been made through appropriate citation, quotation or both. Reproduction is authorised provided the source is acknowledged. Page 2 of 27 D3.2 Big Data Toolbox Training Manual I Table of Contents List of Acronyms ......................................................................................................................................
    [Show full text]
  • Download of Predefined Datasets and WCS
    Baumann and Escriu Open Geospatial Data, Software and Standards (2019) 4:1 Open Geospatial Data, https://doi.org/10.1186/s40965-019-0059-x Software and Standards ORIGINALARTICLE Open Access INSPIRE coverages: an analysis and some suggestions Peter Baumann1* and Jordi Escriu2 Abstract In its quest for a common European Spatial Data Infrastructure INSPIRE has also addressed the category of spatio- temporally extended coverages, in particular: raster data. The INSPIRE definition of coverages is similar to the OGC and ISO standards, but not identical. This deviation from the common standards disallows using standard off-the- shelf software. Further, as we find some technical peculiarities do not lead to the desired effects. In this contribution we compare INSPIRE coverages with OGC/ISO coverages, spot the differences, explain their consequences, and propose a minimal set of changes to the INSPIRE model achieving to harmonize it with OGC/ ISO and to remedy the issues found. Keywords: INSPIRE, Coverages, Datacubes, WCS, OGC, Rasdaman Motivation Directive; the third basic geo data category, raster data, Understanding and predicting natural processes form a has been addressed only later in the roadmap, when com- vital source of insight for humanity at large – after all, the ing to Annexes II and III of the Directive. Each of these past, current, and future state of our planet determines Annexes I, II, and III addresses a set of so-called themes, human survival, welfare and prosperity. Not surprisingly, i.e., technically or thematically motivated groupings of several global initiatives – including the United Nations data structures. As Fig. 1 shows use of raster data – and, Sustainable Development Goals [1], Sendai Framework for more generally, coverages, as introduced below – in IN- Disaster Risk Reduction [2], Paris Agreement on Climate SPIRE themes is manifold.
    [Show full text]
  • INSPIRE WCS: from Mystery to Mastery
    INSPIRE WCS: From Mystery to Mastery Peter Baumann Jacobs University | rasdaman GmbH Jordi Escriu Institut Cartogràfic i Geològic de Catalunya, INSPIRE Thematic Cluster #3 Facilitator [gamingfeeds.com] INSPIRE WCS :: © 2017 Peter Baumann Datacube Research @ Jacobs U . Large-Scale Scientific Information Systems research group • focus: large-scale n-D raster services & beyond • www.jacobs-university.de/lsis . Spin-off: rasdaman GmbH . Main visible results: • pioneer Array DBMS, rasdaman • Big Data standards INSPIRE WCS :: © 2017 Peter Baumann INSPIRE WCS :: © 2017 Peter Baumann Learning Objectives . This seminar will explain: - The coverage data model shared by OGC and ISO - OGC’s coverage service model: WCS, WCPS - OGC, ISO, and INSPIRE . By the end of the day, you should be able to - Understand principles of coverage data, service, and clients - Understand differences between service functionality of WMS, WFS, WCS - Understand how coverage services provide analysis-ready data - Understand how common Annex II and III data can be modelled as coverage - Understand how coverages can be orchestrated in overall service ecosystem - Express core coverage retrieval tasks as WCS requests . Prerequisites - Basics of Web services & GIS INSPIRE WCS :: © 2017 Peter Baumann Overview . Introduction . The data: Coverages . The service: WCS . Conformance Testing . Selected Applications . Conclusion INSPIRE WCS :: © 2017 Peter Baumann6 Overview . Introduction . The data: Coverages . The service: WCS . Conformance Testing . Selected Applications . Conclusion INSPIRE WCS :: © 2017 Peter Baumann7 Why Standards? [www.jhchoppers.com] INSPIRE WCS :: © 2017 Peter Baumann Facing the Coverage Tsunami sensor feeds [OGC SWE] coverage server INSPIRE WCS :: © 2017 Peter Baumann9 Taming the Coverage Tsunami sensor feeds [OGC SWE] coverage server INSPIRE WCS :: © 2017 Peter Baumann10 Serving Coverages .
    [Show full text]
  • Rasdaman C++ Development Guide
    raster data manager C++ Developers Guide rasdaman version 9.0 rasdaman C++ Developers Guide rasdaman Version 9.0 C++ Developers Guide Rasdaman Community is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Rasdaman Community is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with rasdaman Community. If not, see www.gnu.org/licenses. For more information please see www.rasdaman.org or contact Peter Baumann via [email protected]. Originally created by rasdaman GmbH, this document is published under a Creative Commons Attribution-ShareAlike 4.0 International License. All trade names referenced are service mark, trademark, or registered trademark of the respective manufacturer. p.2 rasdaman C++ Developers Guide Preface Overview This guide provides information about how to use the rasdaman database system (in short: rasdaman). The booklet explains usage of raslib, the rasdaman API, through its C++ binding. Follow the instructions in this guide as you develop your application which makes use of rasdaman services. Explanations detail how, from within a C++ program, to create databases, collections, and instances; how to retrieve from databases; how to manipulate and delete instances within databases; how to influence physical storage parameters; how to do transaction handling and other administrative tasks.
    [Show full text]
  • OGC Standards for Raster Data Management
    A Prototype Infrastructure for Sentinel Earth Observation Data Relative to Portugal Supporting OGC Standards for Raster Data Management Diogo Filipe Pimenta Andrade Thesis to obtain the Master of Science Degree in Information Systems and Computer Engineering Supervisor(s): Prof. Bruno Emanuel da Grac¸a Martins Prof. Mario´ Jorge Costa Gaspar da Silva Examinatiom Committee Chairperson: Prof. Daniel Jorge Viegas Gonc¸alves Supervisor: Prof. Prof. Bruno Emanuel da Grac¸a Martins Members of the Committe: Prof. Armanda Rodrigues May 2017 The only way to achieve the impossible is to believe it is possible. Charles Lutwidge Dodgson Acknowledgments I would like to thank those who have been present and have in a way or another contributed to this thesis. First, I would like to thank my advisors, Prof. Bruno Martins and Prof. Mario´ Gaspar, for all the guidance, patience, and support. I would also like to thank Eng. Bruno Anjos and Eng. Marco Silva from Instituto Portuguesˆ do Mar e da Atmosfera (IPMA) for the technical support. I also thank the future mother of my children, Barbara´ Agua,´ for always being kind and supportive. I can not thank her enough for all the encouragement and dedication. I thank my good friend Joao˜ Vieira, for the inspiration and motivation that brought me to pursue higher education. I would like to thank my brother, Joao˜ Andrade, for being the father that I never had. Finally, I would like to thank the taxpayers of Portugal for providing me with financial support, through a scholarship from Governo Regional da Madeira, through the SASUL scholarship, and through the researh grant from the Fundac¸ao˜ para a Cienciaˆ e Tecnologia (FCT) within project DataS- torm - EXCL/EEI-ESS/0257/2012.
    [Show full text]
  • Java Developers Guide
    raster data management Java Developers Guide rasdaman version 6.0 rasdaman Java Developers Guide rasdaman Version 6.0 Java Developers Guide Copyright © 1999-2005 rasdaman GmbH. All rights reserved. No part of this publication is allowed to be reproduced, stored in a retrieval system, or transmitted in any form or by any means, be it electronical- ly, mechanically, or in photocopy, without prior permission of rasdaman GmbH. Printed in Germany. This software/documentation contains proprietary information; it is provided under a license agreement containing restrictions on use and disclosure and is also protected by copyright patent and other intell- ectual property law. Reverse engineering of the software is prohibited. Information in this document is subject to change without notice and should not be construed as a commitment. Rasdaman GmbH does not warrant that this document is error-free or complete. If you find any problems in the documentation, please report them to us in writing to the following address: rasdaman GmbH Adam-Berg-Str. 172a D-81735 Munich GERMANY Tel. +49-(89)-67 000 146, fax –67 000 147 Email: [email protected] Rasdaman is a registered trademark of rasdaman GmbH. SQL is a registered trademark of International Business Machines Corporation. Unix is a registered trademark of Unix System Laboratories, Inc. Sun, SunOS, and Solaris are registered trademarks of Sun Microsystems, Inc. HP-UX is a registered trademark of Hewlett-Packard Company. Windows is a registered trademark of Microsoft Corporation. IBM, DB2, and Informix are registered trademarks of IBM Corporation. Oracle is a registered trademark of Oracle Corporation. All other trade names referenced are service mark, trademark, or registered trademark of the respective manufacturer.
    [Show full text]