Open Source Remote Sensing of ORFEO Toolbox and Its Connection to Database of Postgis with NIX File Importing
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Uses of Open Source Remote Sensing Software for Interoperable Geo-Web Implementation
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII, Part 8, Kyoto Japan 2010 USES OF OPEN SOURCE REMOTE SENSING SOFTWARE FOR INTEROPERABLE GEO-WEB IMPLEMENTATION Kiwon Lee Dept. of Information Systems Engineering, Hansung University, Seoul, Korea, 136-792 [email protected] WG VIII/8 KEY WORDS: Internet/Web, Design, Interoperability, Open Systems, Standards, Software, Interface ABSTRACT: In the geo-spatial domain, new web-based computing technologies for interoperable geo-web are emerged. software as a service, asynchronous particle update, mashup, open sources, rich user experiences, collaborate tagging, open interoperability and structured information. Among them, open source developments or their applications in the geo-spatial community have somewhat long history, and nowadays they are regarded on the maturing stage in both the academics and industries. The main theme in this work is to use of the open source remote sensing (OSRS) software covering satellite image processing. Currently, OSRS software can be categorized into some types: full source codes, application programming interface (API) and development libraries. Furthermore, compared to proprietary remote sensing tools, some OSRS software provides highly advanced functions to fit specific target applications, as well as basic pre-processing or post-processing ones. However, till now, there are a few comparative and guidance studies to OSRS specialties. In this study, OSRS classification and its summary concerning features and especial specifications are presented in the consideration to land applications. Finally, geo-web architecture and system design with several OSRS software is shown in order to land applications to construct remote sensing contents and to provide interoperable web services in geo-web. -
Architecting Location Intelligence Platforms Using Open-Source Components
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B4-2021 XXIV ISPRS Congress (2021 edition) ARCHITECTING LOCATION INTELLIGENCE PLATFORMS USING OPEN-SOURCE COMPONENTS A. BENAHMED DAHO 1, H. BEKHELIFI 1 1 TransformaTek, SARL (LLC), Ain Temouchent, Algeria - (ali.benahmeddaho, hatem.bekhelifi)@transformatek.dz Commission IV, WG IV/6 KEY WORDS: GIS, Cloud Architecture, Location intelligence, Agile approach, GeoNode, Source control. ABSTRACT: Location Intelligence is an emerging application of geospatial industry. It allows professionals from different business domains (finance, disaster management, retail, health) and with minimum expertise in GIS technologies to use efficiently many spatial analysis tools and algorithms to solve their day-to-day problems. One of the major characteristics of Location Intelligence is the use of multisource and alternative data either user ingested or directly available in the platform (by geo-enrichment). In this contribution we investigate the architectural challenges raised by the development of this kind of platforms, particularly in term of functionalities, use of open-source components, management practices, deployment on the Cloud and source code control. To validate our assumptions, we built a new platform, named “Geoweba”, based on the GeoNode Project and having as objective to disrupt the Algerian consulting market. The resulting platform is deployed on the internet and freely available for users. In this contribution we demonstrate that our development approach based on Agile principles and open-source components gives a good result, mainly in the early stages when just a Minimum Viable Product (MVP) is needed for market validation of the idea. 1. INTRODUCTION Location intelligence software, also called spatial intelligence Functioning software, is a business intelligence solution that provides location Sprint Deliverables analytics to identify the relationship between certain objects TODO 2-4 Weeks based on their physical locations. -
(Eds.) Open Source Archaeology Ethics and Practice
Andrew T. Wilson and Ben Edwards (Eds.) Open Source Archaeology Ethics and Practice Andrew T. Wilson and Ben Edwards (Eds.) Open Source Archaeology: Ethics and Practice Ê Managing Editor: Katarzyna Michalak Associate Editor: Łukasz Połczyński Published by De Gruyter Open Ltd, Warsaw/Berlin Part of Walter de Gruyter GmbH, Berlin/Munich/Boston This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 license, which means that the text may be used for non-commercial purposes, provided credit is given to the author. For details go to http://creativecommons.org/licenses/by-nc-nd/3.0/. Copyright © 2015 Andrew T. Wilson and Ben Edwards ISBN 978-3-11-044016-4 e-ISBN 978-3-11-044017-1 Bibliographic information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliograe; detailed bibliographic data are available in the Internet at http://dnb.dnb.de. www.degruyteropen.com Cover illustration: © Łukasz Połczyński Contents Acknowledgements Ê IX Benjamin Edwards and Andrew T. Wilson 1 Open Archaeology: Denitions, Challenges and Context Ê 1 1.1 Introduction Ê 1 1.2 ‘Open Source’ Archaeology and ‘Open’ Archaeology Ê 1 1.3 Open Source Archaeology Ê 1 1.4 Open Archaeology Ê 2 1.5 The Public Context of Open Access Ê 2 1.6 Open Ethics Ê 4 1.7 Outline of the Volume Ê 5 Bibliography Ê 5 Jeremy Huggett 2 Digital Haystacks: Open Data and the Transformation of Archaeological Knowledge Ê 6 2.1 Introduction Ê 6 2.2 Openness and Access Ê 7 2.3 Openness and Reuse -
The Enmap-Box—A Toolbox and Application Programming Interface for Enmap Data Processing
Remote Sens. 2015, 7, 11249-11266; doi:10.3390/rs70911249 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Technical Note The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing Sebastian van der Linden *, Andreas Rabe, Matthias Held, Benjamin Jakimow, Pedro J. Leitão, Akpona Okujeni, Marcel Schwieder, Stefan Suess and Patrick Hostert Humboldt-Universität zu Berlin, Geography Department, Unter den Linden 6, 10099 Berlin, Germany; E-Mails: [email protected] (A.R.); [email protected] (M.H.); [email protected] (B.J.); [email protected] (P.J.L.); [email protected] (A.O.); [email protected] (M.S.); [email protected] (S.S.); [email protected] (P.H.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +49-30-2093-6872; Fax: +49-30-2093-6845. Academic Editors: Michael Rast, Saskia Foerster, Véronique Carrere, Karl Staenz, Lenio Soares Galvao, Richard Müller and Prasad S. Thenkabail Received: 29 May 2015 / Accepted: 27 August 2015 / Published: 1 September 2015 Abstract: The EnMAP-Box is a toolbox that is developed for the processing and analysis of data acquired by the German spaceborne imaging spectrometer EnMAP (Environmental Mapping and Analysis Program). It is developed with two aims in mind in order to guarantee full usage of future EnMAP data, i.e., (1) extending the EnMAP user community and (2) providing access to recent approaches for imaging spectroscopy data processing. -
Open Source Remote Sensing: Introspect and Prospect
Journal of Marine Science and Technology, Vol. 20, No. 6, pp. 613-617 (2012) 613 DOI: 10.6119/JMST-012-0315-1 OPEN SOURCE REMOTE SENSING: INTROSPECT AND PROSPECT Sanggoo Kang1, Hee Young Yoo2, and Kiwon Lee1 Key words: object-based image analysis, open source, optical image source remote sensing is regarded as one of the progressing processing, remote sensing software, InSAR processing. and advanced fields in remote sensing. Open source has been mainly developed and integrated in one field till now. Each open source usually works for one ABSTRACT module or a target application. Therefore open source mainly It is noteworthy that open source applications have been provides not several functions but a single function. However developed and studied in various fields as well as remote several open source modules from various fields will be uni- sensing field. Open sources for GIS have long history related fied hereafter and we can easily develop software for a specific to open standards over three decades, but those of remote purpose if open source modules from various field were inte- sensing do relatively short. Moreover, there are still no sum- grated adequately. Before developing open source software mary reports for open sources for remote sensing. In this in the integrated user environment for remote sensing, making study, we summarized characteristics of open source applica- a list of functions and investigating characteristics should tions for remotely sensed image processing and discussed be preceded. Therefore we examined the functions of open their strengths and weaknesses at first. Based on the summary, source software for remote sensing and compared each other two open source applications for InSAR Processing and in this study. -
Orfeo Toolbox (OTB) from Satellite Images to Geographic Information
Introduction Applications and librairy Roadmap Extra Orfeo Toolbox (OTB) from satellite images to geographic information "Orfeo Toolbox is not a black box" FOSS4G 2009 www.orfeo-toolbox.org Introduction Applications and librairy Roadmap Extra What When Why How Outline 1 Introduction What is it? A bit of history Why doing that? How? 2 Applications and librairy Components Architecture But steep learning 3 What’s coming next? Monteverdi GIS integration Bindings GPU and clusters FOSS4G 2009 www.orfeo-toolbox.org Introduction Applications and librairy Roadmap Extra What When Why How What is Orfeo Toolbox (OTB)? Initiated by CNES (French Space Agency) Following the feedback from SPOT satellite series In the frame of CNES ORFEO Program to prepare the launch of Pleiades Goal Make the development of new algorithms and their validation easier C++ library: provide many algorithms (pre-processing, image analysis) with a common interface Open-source: free to use, to modify (based on the CeCILL licence) Multiplatform: Windows, Linux, Unix, Mac FOSS4G 2009 www.orfeo-toolbox.org Introduction Applications and librairy Roadmap Extra What When Why How A bit of History Everything begins (2006) Started in 2006 by CNES (French Space Agency), funding several full-time developers Targeted at high resolution images (Pleiades to be launched in 2010) but with application to other sensors 4 year budget, over 1,000,000e Moving towards user friendly applications (2008) Strong interactions with the user community highlighted that applications for non-programmers are -
Orfeo Toolbox: Open Source Processing of Remote Sensing Images
Grizonnet et al. Open Geospatial Data, Software and Standards (2017) 2:15 Open Geospatial Data, DOI 10.1186/s40965-017-0031-6 Software and Standards SOFTWARE Open Access Orfeo ToolBox: open source processing of remote sensing images Manuel Grizonnet1* , Julien Michel1, Victor Poughon1, Jordi Inglada1,2, Mickaël Savinaud3 and Rémi Cresson4 Abstract Orfeo ToolBox is an open-source project for state-of-the-art remote sensing, including a fast image viewer, applications callable from command-line, Python or QGIS, and a powerful C++ API. This article is an introduction to the Orfeo ToolBox’s flagship features from the point of view of the two communities it brings together: remote sensing and software engineering. Keywords: Remote sensing, Image processing, Open source Orfeo ToolBox (OTB) [1] is an open-source project for Thanks to its modular architecture, OTB allows fast processing satellite imagery. Built on the shoulders of the prototyping and covers the full spectrum of algorithms for open-source geospatial community, it can process high remote sensing image processing from pre-processing to resolution optical, multispectral, hyperspectral and radar advanced feature extractions methods allowing one to go images up to the terabyte scale. A wide variety of appli- from raw data to value added products. cations are available that include: ortho-rectification or Here is an incomplete list of OTB capabilities: pan-sharpening, supervised or unsupervised classifica- • Read, write, convert, extract parts of remote sensing tion, feature extraction, SAR processing. data, All of OTB algorithms are accessible from Monteverdi, • Pre-processing like ortho-rectification, radiometric C++ Quantum GIS [2], Python, the command-line or . -
Processing: a Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS
ISPRS Int. J. Geo-Inf. 2015, 4, 2219-2245; doi:10.3390/ijgi4042219 OPEN ACCESS ISPRS International Journal of Geo-Information ISSN 2220-9964 www.mdpi.com/journal/ijgi Article Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS Anita Graser 1;* and Victor Olaya 2 1 Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria 2 Boundless, 50 Broad Street, Suite 703, New York, NY 10004, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected] Academic Editor: Wolfgang Kainz Received: 2 July 2015 / Accepted: 10 October 2015 / Published: 22 October 2015 Abstract: Processing is an object-oriented Python framework for the popular open source Geographic Information System QGIS, which provides a seamless integration of geoprocessing tools from a variety of different software libraries. In this paper, we present the development history, software architecture and features of the Processing framework, which make it a versatile tool for the development of geoprocessing algorithms and workflows, as well as an efficient integration platform for algorithms from different sources. Using real-world application examples, we furthermore illustrate how the Processing architecture enables typical geoprocessing use cases in research and development, such as automating and documenting workflows, combining algorithms from different software libraries, as well as developing and integrating custom algorithms. Finally, we discuss how Processing can facilitate reproducible research and provide an outlook towards future development goals. Keywords: QGIS; Python; geoprocessing; open source; software architecture 1. Introduction Geographic information systems (GIS) have found widespread adoption in public administration, industry and a multitude of research disciplines thanks to their capabilities to integrate heterogeneous digital data and to provide data analysis, as well as their visualization functionality [1,2]. -
5 Open Source GIS Geospatial Software for Archaeology: Towards Its Integration Into Everyday Archaeological Practice
Hector Orengo 5 Open Source GIS Geospatial Software for Archaeology: Towards its Integration into Everyday Archaeological Practice 5.1 Introduction Geospatial software refers to all software employed to display, manipulate, analyse and produce geospatial information. Although this term is normally used for soft- ware classied as geographic information systems (GIS) it also includes others that can work with and produce geographically referenced information such as CAD, Re- mote Sensing or photogrammetric software. This paper focuses on GIS but references will be also made to other types of geospatial software that can work in conjunction or complement GIS. During the last 20 years GIS have played an increasingly important role in archae- ology. Their capacity to work on a multi-layered and multi-scale spatial frame ren- ders them a very exible tool to handle all spatially referenced information. Nowa- days, they are routinely employed in archaeological research and practice with more researchers applying them to address not only landscape but also on site issues. How- ever, their incorporation into the archaeologist’s toolbox is relatively recent. The rst GIS software (if they could have been called as such back then) were developed in the 60s and they were restricted to very basic functions, such as the creation of 3D messes or the extraction of contours. During the 70s the rst commercial software was de- veloped by the Environmental Systems Research Institute (ESRI), the most successful vendor of proprietary software today. The rst applications, however, of GIS to archae- ological research were only later developed under the inuence of New Geography by the American pioneers of New Archaeology. -
Annual General Meeting 2020
www.osgeo.org Annual General Meeting 2020 Open Source Geospatial Foundation OSGeo AGM 2020 Virtual Event Open Source Geospatial Foundation Image: from https://2020.foss4g.org/destination-calgary/ 2020 Annual General Meeting Open Source Geospatial Foundation OSGeo AGM 2020 Virtual Event Open Source Geospatial Foundation 2 Introduction 2020 OSGeo AGM 2020 Virtual Event Open Source Geospatial Foundation 3 Empower everyone with open source geospatial • OSGeo is a not-for-profit software foundation • Provides projects financial, organizational and legal support • Outreach and advocacy • Promoting global adoption of open source geospatial technology • Partnerships on open approach to standards, data and education. • OSGeo is a volunteer driven • Passionate membership of individuals from around the world. OSGeo AGM 2020 Virtual Event Open Source Geospatial Foundation 4 Open Geospatial • Working with our partners: • Open Source: a collaborative approach to software development • Open Data: freely available information to use as you wish • Open Standards: avoid lock-in with interoperable software • Open Education: Removing the barriers to learning and teaching • Open Science: Share data and software for responsible research OSGeo AGM 2020 Virtual Event Open Source Geospatial Foundation 5 OSGeo Status Overview Open, free membership: 454 7/09/2020 elected charter members (+33) developers, activists, advocates, distribution by year, region and country http://bl.ocks.org/jsanz/raw/779f9b9954b92461fa50/ (see animated gif) Thanks to Jorge Sanz for the -
5 Open Source GIS and Geospatial Software in Archaeology: Towards Their Integration Into Everyday Archaeological Practice
Hector Orengo 5 Open Source GIS and Geospatial Software in Archaeology: Towards their Integration into Everyday Archaeological Practice 5.1 Introduction Geospatial software refers to all software employed to display, manipulate, analyse and produce geospatial information. Although this term is normally used for software classified as geographic information systems (GIS) it also includes others that can work with and produce geographically referenced information such as CAD, Remote Sensing or photogrammetric software. This paper focuses on GIS but references will be also made to other types of geospatial software that can work in conjunction or complement GIS. During the last 20 years GIS have played an increasingly important role in archaeology. Their capacity to work on a multi-layered and multi-scale spatial frame renders them a very flexible tool to handle all spatially referenced information. Nowadays, they are routinely employed in archaeological research and practice with more researchers applying them to address not only landscape but also on site issues. However, their incorporation into the archaeologist’s toolbox is relatively recent. The first GIS software (if they could have been called as such back then) were developed in the 60s and they were restricted to very basic functions, such as the creation of 3D messes or the extraction of contours. During the 70s the first commercial software was developed by the Environmental Systems Research Institute (ESRI), the most successful vendor of proprietary software today. The first applications, however, of GIS to archaeological research were only later developed under the influence of the New Geography by the American pioneers of the New Archaeology. -
Looking Forward... About the Cover: Page 3
JANUARY 2008 VOL 12 ISSUE 1 RNI 68561/18/6/98/ISSN 0971-9377 UP/BR-343/2008 Subscriber’s copy. Not for Sale 40 Status of GIS in Africa 44 Status of GIS in Europe 48 Geospatial Initiatives in Israel 54 Geo-information in the The Global Geospatial Magazine Age of Instant Access 58 Geospatial Technology takes centre stage Looking Forward... About the cover: Page 3 AFRICA I AMERICAS I ASIA I AUSTRALIA I EUROPE www.GISdevelopment.net 10 - 13 FEBRUARY, 2009, HYDERABAD, INDIA G27497_GIS-Dev_Oct07.indd 1 9/28/07 9:31:37 AM In this issue... Advisory Board Dato’ Dr. Abdul Kadir bin Taib Deputy Director General of Survey and COLUMNS 48 Geospatial Initiatives in Mapping, Malaysia Israel Aki A. Yamaura Editorial 05 Sr. Vice President, Asuka DBJ Partners, Japan Objectives of the Survey of Israel's National Amitabha Pande Annual News roundup 06 Geospatial Portal… Secretary, Inter-State Council, Government of India Dr. Haim Srebro Tech Horizon 64 Bhupinder Singh Sr. Vice President, Bentley Systems Inc., USA Events 66 52 Public Private Bob Morris President, Leica Geosystems Geospatial Imaging,USA Partnership in Middle East ARTICLES BVR Mohan Reddy Implementation of PPP model in the Middle Chairman and Managing Director, Infotech Enterprises Ltd., India Usage of OGC Standards East… 30 Fernando Pizzuti David Maguire Director, Products, Solutions and International, in Indonesia, Thailand and ESRI, USA Malaysia 54 Geo-information in the Frank Warmerdam President, OSGeo, USA The current standing of the use of OGC Age of Instant Access Prof. Ian Dowman standards in the development of NSDI and Various application, product inititaives and similar projects… President, ISPRS, UK their regional usage overview… Dr.