Sessions
en
The Provincial Information System Using Free and Open Source Software in East Kalimantan, Indonesia
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Poster </div>
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<div class="field-label">Presenter(s): </div>
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Dr Gatot Haryo Pramono, Bakosurtanal </div>
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Mr Edwin Hendrayana </div>
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Mr Sajatmiko Wibowo </div>
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<p>The province of East Kalimantan located in Borneo island is one of the largest province in Indonesia. With an area and population approximately similar to the State of Oregon, the provincial government tries to manage effectively the natural and human resources. A web-based information system is an option to display and share the potency of East Kalimantan province. The purpose of such application is to provide a complete spatial information of East Kalimantan in a web GIS. The users are not only the local government but also prospective investors who are interested in developing the province. Due to the budget limitation, the government decided to choose free and open source software to implement the system. The application is built using PostgreSQL and PostGIS to store the data in the spatial database. The web GIS interface is developed using OpenLayers with the base map from Google Maps. The natural resource and statistical data are displayed as thematic maps and charts. Such data can be downloaded in a spreadsheet format to allow furhther use. As a conclusion, the provincial information system is found to be a useful and effective approach to manage and share spatial information in East Kalimantan.</p>
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<div class="field-label">Speaker Bio: </div>
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<p>I am the head of topographic database division and system designer for web GIS application using free and open source software.</p>
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#comments
Case Studies
Development
Tue, 19 Jul 2011 01:41:07 +0000
admin
613 at
The Oklahoma/Kansas cyberCommons: An Ecological Informatics Research Laboratory
/sessions/oklahomakansas-cybercommons-ecological-informatics-research-laboratory
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Poster </div>
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Mr Jonah Duckles, University of Oklahoma </div>
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Mr Mark Stacy </div>
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Mr Brian Cremeans </div>
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<p>Integrative ecological research efforts often collapses under the weight of the massive amounts of data they hope to integrate. We share our approach to addressing this by building a loosely-coupled data and analysis toolkit. This toolkit draws heavily from from FOSS4G, OGC services and open standards to enhance scientific analysis capabilities. We share several examples where we organize, process, enhance and expose spatiotemporal datasets, such as: 1) weather radar reflectivity data before quality control, used to classify biological targets; 2) archives of earth observing remote sensing satellite imagery and derrived products; 3) regional carbon flux modeling. We show the FOSS4G tools we draw upon and how we've arranged them into a system to meet our research goals.</p>
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<p>Jonah is a member of the Eco-Informatics group at the University of Oklahoma. Eco-Informatics embeds IT professionals with ecological scientists to enhance research capabilities.</p>
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/sessions/oklahomakansas-cybercommons-ecological-informatics-research-laboratory#comments
Case Studies
Open Data and Collaboration
Tue, 19 Jul 2011 03:32:21 +0000
admin
629 at
geo-spatial.org: The Reference Point for the Romanian FOSS4G Community
/sessions/geo-spatialorg-reference-point-romanian-foss4g-community
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Poster </div>
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Mr Vasile Crăciunescu, Romanian National Meteorological Administration </div>
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Mr Ștefan Constantinescu </div>
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Ionuț Ovejanu </div>
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<p>geo-spatial.org is a collaborative effort by and for the Romanian community to facilitate the sharing of geospatial knowledge and the discovery and publishing of free geographic datasets and maps. It was created by a small team of young scientists as an attempt to overcome the Romanian specific geospatial dysfunctions.</p>
<p>Anyone can make a contribution by submitting articles or datasets for publication, adding comments to the existing articles, join the discussion on the mailing list or users forum. The content is managed by Textpattern, a powerful and flexible, open source content management application. For supplementary, specific functionality, custom modules were built. Other free applications are providing server-side functionality: MySQL, PHP, Python, Java, Apache, Tomcat, phpMyAdmin, phpPgAdmin. For geospatial data processing and management, top open source applications were also integrated in the website: PostGIS, GeoNetwork Opensource, GeoServer, OpenLayers, GeoWebCache, Mapnik, GDAL/OGR. The website is divided in several functional sections. In each section, the information is placed in predefined categories and sub-categories.</p>
<p> </p>
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<p>Vasile is a researcher at Romanian National Meteorological Administration, working in the Remote Sensing & GIS Laboratory since 2001. He received his diploma in cartography and physical geography in 2001. Currently is in charge of the scientific and operational activities in Meteo Romania related to rapid mapping, air quality data integration, spatial data infrastructure and web mapping. Vasile is a FOSS4G (free and open source software for geospatial) promoter and use his free time to further develop geo-spatial.org (<a href="; title=";>http://earth.unibuc.ro/</a>), a collaborative effort by and for the Romanian community to facilitate the sharing of geospatial knowledge and the discovery and publishing of free geographic datasets and maps.</p>
<p> </p>
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</div>
/sessions/geo-spatialorg-reference-point-romanian-foss4g-community#comments
Case Studies
Open Data and Collaboration
Tue, 19 Jul 2011 01:47:10 +0000
admin
614 at
Efficient Vehicle Tracking with Open Source Tools
/sessions/efficient-vehicle-tracking-open-source-tools
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Poster </div>
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Trevor Clarke, Opticks </div>
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Roxanne Canosa </div>
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<p>Vehicle detection and tracking is a common use for manned and unmanned airborne video systems particularly the new class of wide area persistent surveillance systems. This presentation discusses a technique for near real-time vehicle detection and tracking using open source tools such as Opticks and OpenCV. A combination of existing techniques was adapted for use with high spatial resolution and low temporal resolution data.</p>
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<p>Trevor Clarke is a software engineer at Ball Aerospace & Technologies. Trevor has a masters degree in computer science from RIT and is a core contributor to Opticks.</p>
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/sessions/efficient-vehicle-tracking-open-source-tools#comments
Development
Visualization
Tue, 19 Jul 2011 03:39:30 +0000
admin
630 at
FOSS Tools for Geospatial and Agent Based Modelling to Evaluate Climate Change in an Agricultural Watershed
/sessions/foss-tools-geospatial-and-agent-based-modelling-evaluate-climate-change-agricultural-waters
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Dr Alireza Ghaffari, York University </div>
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Dr Martin Bunch </div>
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Dr Rod MacRae </div>
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Joseph Zhao </div>
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<p>Land-use changes are typically modeled using geographic information systems because of the spatial nature of the data. But the complexity of coupled human and natural systems and the fourth dimension involved with change over time and time-series data expose some limitations of GIS tools when used on their own. In this paper we present the application of REPAST, a free and open source geospatial Multi-agent Model (a.k.a. Agent-based Model or ABM) to the dynamic simulation of greenhouse gas (GHG) changes in a sub-watershed in Ontario, Canada with predominantly agricultural land use. The combination of Geospatial analysis and use of an Agent Based Model is a new way to solve complex problems involving multiple decision makers on the landscape. The combination of these modeling approaches helps to address the time dimension in geospatial modeling problems. ABM can model dynamic systems, their evolutionary changes and importantly, can predict options for sustainable system configurations. As a part of this research project, open source tools were developed to integrate ABM and GIS environments, specifically with respect to data transport and coupling of GIS and REPAST tools. In this paper we present scenarios to estimate the GHG emissions in an agricultural watershed, and the FOSS tools we both adopted and have been developing to undertake this project.</p>
<p> </p>
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<p>I received my PH.D. in Physical Geography from Nottingham University, England (2006).Since January 2007, I have been working as a researcher and post doc fellow with the Department of Earth Space Science, Emergency Management Program, and most recently at the Faculty Environmental Studies. During this period, I have been involved with various research projects funded by GEOIDE and NSERC. In my current position as a post doc fellow at the Faculty of Environmental Studies, I work on a project that aims to evaluate the effects of organic farming on greenhouse gas using a GIS based agent based model.</p>
<p>At the same time, I have been working as a part time instructor for Wilfred Laurier University and Lakehead University (Orillia Campus), teaching various courses including Geographic Information Systems (GIS), Arial Photo Interpretation. My research interest is Spatial Analysis/Modeling and GIS implementation in natural and technological hazards.</p>
<p> </p>
</div>
</div>
</div>
/sessions/foss-tools-geospatial-and-agent-based-modelling-evaluate-climate-change-agricultural-waters#comments
Case Studies
Development
Other
Tue, 19 Jul 2011 01:51:10 +0000
admin
615 at
Enhancing the Use of Python in GIS and Remote Sensing
/sessions/enhancing-use-python-gis-and-remote-sensing-0
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Poster </div>
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Nathan Jennings, American River College/Opticks </div>
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<p>This abstract outlines the development of a geographic information systems (GIS) Programming and Remote Sensing course at American River College using Python and Opticks (<a href="; title=";>http://opticks.org</a>) open source image processing software for use with remotely sensed imagery. The author has developed a fully on-line GIS course and text for developing and using Python for ArcGIS in addition to developing and using the Opticks Python scripting extension for a remote sensing course. The ability to use Python in both open source and commercial GIS and remote sensing software is becoming common place and a skill this is widely sought after. This paper will describe some of the knowledge, abilities, and skill sets that employers are seeking and how the author has developed the courses and texts using Python and Opticks in GIS and remote sensing to help students build these skills.</p>
<p>See <a href="; title="www.jenningsplanet.com">www.jenningsplanet.com</a> and <a href="; title=";>http://opticks.org</a> for more information.</p>
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<p>Adjunct GIS Professor, American River College, Sacramento, CA<br />Sr. GIS Analyst, City of Sacramento, Sacramento, CA<br />Principal, JenningsPlanet, GIS Consulting<br />Opticks, Contributor-Collaborator-Mentor</p>
</div>
</div>
</div>
/sessions/enhancing-use-python-gis-and-remote-sensing-0#comments
Case Studies
Tue, 19 Jul 2011 03:42:24 +0000
admin
631 at
An innovative web services based GIS architecture for global biogeographic analyses of species distributions
/sessions/innovative-web-services-based-gis-architecture-global-biogeographic-analyses-species-distri
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Jeffery Cavner, Natural History Museum, University of Kansas </div>
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</div>
<p>Spatial patterns and properties of species richness in natural communities are of keen interest to biogeographers and conservation biologists as they describe key features of the location and distribution of the earth's biological diversity. Patterns of species richness are determined by constituent species range sizes, spatial locations of those ranges, species associations, co-occurrence and species interactions. Analysis of these phenomena at biogeographical scales, i.e. continental to global extents, presents computational and visualization challenges. The creation of species presence/absence matrices is one approach for linking range size and richness patterns. The presence/absence matrix is a gridded data format, where columns represent species and rows represent geographic sites or localities. Each matrix element is coded for the presence (1) or absence (0) of each of hundreds or thousands of species. The presence/absence matrix allows for the interlinking of two concepts: the dispersion field, and the diversity field. The diversity field is the species diversity of all sites in which a particular species occurs. A dispersion field is the set of geographic ranges of all the species occurring in a given site. It has been demonstrated that species diversity of sites and the mean range size of species has a symmetrical relationship with the range size of species and the mean species diversity within those ranges. Null models are used with presence/absence matrices to test hypotheses requiring that large matrices be randomized while maintaining the total value of each row and column constant. By treating these matrices as Boolean grids, we developed highly-optimized swap algorithms to achieve this in a software suite of WPS web services which utilize QGIS as a client. Two different types of range diversity plots map the relationships between the mean proportional species diversity against the proportional range size of a species; and the relationship between the mean proportional range size and the proportional species diversity. These two different ‘views’ of the data can then be linked for display to phylogenetic trees in the case of the species specific plot and geographic space in the case of the locality specific plot. By combining the computational power of high-performance servers exposed as web services with a thick client for GIS data visualization we are bringing together advanced visualization techniques with optimized bio-statistical algorithms to advance vital investigations in global biodiversity research and conservation.</p>
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<p>Jeff Cavner is a software developer for the Bioinformatics Department for the Biodiversity Institute at the Natural History Museum, University of Kansas.</p>
<p> </p>
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</div>
/sessions/innovative-web-services-based-gis-architecture-global-biogeographic-analyses-species-distri#comments
Development
Tue, 19 Jul 2011 01:54:57 +0000
admin
616 at
Geographic Reference Interface For Internet Networks
/sessions/geographic-reference-interface-internet-networks
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Poster </div>
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Jan Kolar PhD, Grifinor Project </div>
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</div>
<p>Geographic Reference Interface For Internet Networks (GRIFIN) is an experimental platform for exchanging spatio-temporal objects designed since 2005 primarily by Jan Kolar.</p>
<p>The goal of this effort is to consolidate research on next generation geographic systems, by the project participants as well as others, through designing a platform that could form a common core for research.</p>
<p>The purpose of the platform is to publish and exchange geo-referenced objects.</p>
<p>The term “object” here refers to a particular form for geo-related content that allows non-specialists to explore the objects in a digital representation of space-time, but also allows specialists to use instantly new, variable object-models.</p>
<p>Therefore it facilitates sharing and improvement of the models.<br />The platform design can provide a public Internet service, which allows for non-binding use by any user of the network in a similar manner as the Electronic mail, FTP or the Web services.</p>
<p>The properties of the service’s design address several research and development subjects.</p>
<p>The key ones are: globally ordered content, decentralization, interoperable and programmable content, and visualization.<br />These properties have been achieved using a number of scientific and engineering concepts of which the most important are: geospatial indexing, object oriented programming, terrestrial reference frame, managed code, and 3-D computer graphics.<br />The article provides an overview of the main aspects behind these concepts and how they were used in the design and development of the new service.</p>
<p>From the design point of view it is important to recognize that some of these concepts are relevant only for a specific property.<br />For example the concepts of 3-D computer graphics were almost exclusively applied for the support of visual representation of the content.</p>
<p>Other concepts, in contrast, are relevant for several of the listed properties.</p>
<p>The managed code concept, for example, addresses the content interoperability and programmability, but it also supports the decentralization and the visual representation properties.<br />The geospatial indexing partly addresses all of the central properties.</p>
<p>From the technical perspective the system architecture overview, selection of Java virtual machine, or relationship of service communication to HTTP are relevant and will be presented.</p>
<p>A short introduction to how the service works will be presented and examples from real-life projects will be shown.<br />The purpose of the presentation is also to create interest from other OSGeo community members, to receive feedback and comments, and invite those who find it interesting to collaborate with the Grifinor Project effort.</p>
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<p>With M.Sc. degree from Czech Technical University in Prague and Ph.D. from Aalborg University in Denmark, Jan is currently working as a consultant in geoinformatics.</p>
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</div>
/sessions/geographic-reference-interface-internet-networks#comments
Development
Open Data and Collaboration
Tue, 19 Jul 2011 03:46:53 +0000
admin
632 at
Delineating Service Areas of Public Facilities
/sessions/delineating-service-areas-public-facilities
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Poster </div>
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Kunsheng Fang, North Carolina State University </div>
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Hugh Devine </div>
<div class="field-item odd">
Stacy Supak </div>
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</div>
<p>Defining the service areas of public facilities is an important task in urban planning. It is essential in assessing the quality, efficiency, and equity of all sorts of service provisions. In addition, delineating service areas is a prerequisite in many location analysis and spatial optimization applications.</p>
<p>Delineating the service areas of facilities can be a very complex process. Depending on the characteristics of the public facilities and the scale of spatial data, facilities can be treated as spatial objects of points, lines, or polygons, and the service area of each type of these spatial objects can be delineated by creating buffer areas or constructing Voronoi Diagrams. In addition, to account for forbidden barriers and regions, network analysis and network Voronoi Diagrams can be utilized. Furthermore, in order to reflect the reality more precisely, weights should be assigned to facilities of different attributes.</p>
<p>This paper reviews the functionality of proprietary and FOSS GIS software in delineating service areas of facilities in an urban planning context. It summarizes tasks that are needed in delineating service areas of different facilities, compares the functionality of ESRI ArcMap and PostgreSQL/PostGIS database system in carrying out these tasks, and identifies a collection of functions that are available in ArcMap system but are missing in the PostgreSQL/PostGIS database system.</p>
<p>Lastly, we report the implementation of some of these missing functions using the PL/R language extension for PostgreSQL, and conclude with a list of desired functions that requires further efforts in implementation.</p>
<div class="field field-type-text field-field-speakerbio">
<div class="field-label">Speaker Bio: </div>
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<p>Kunsheng Fang is a Ph.D student in the Department of Parks, Recreation, and Tourism Management, North Carolina State University.</p>
<p> </p>
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/sessions/delineating-service-areas-public-facilities#comments
Development
Tue, 19 Jul 2011 02:01:57 +0000
admin
617 at
A Fast Search Mechanism for Multiple Raster Layers in MapWindow Open Source GIS
/sessions/fast-search-mechanism-multiple-raster-layers-mapwindow-open-source-gis
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Poster </div>
</div>
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<div class="field field-type-text field-field-presenterstext">
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Mr Ahmad Aburizaiza, George Mason University </div>
<div class="field-item even">
Dr Matthew Rice </div>
<div class="field-item odd">
Mr William Hammill </div>
</div>
</div>
<p>GIS raster data is a representation of cells or pixels arranged in rows and columns, where each cell signifies an attribute value representing different data types, such as slope, aspect, elevation, or temperature. Identifying and selecting the cells of a specific attribute value in the GIS programming world can be done fast in a single GIS raster layer. A problem might rise when the GIS programmer attempts to select a combination of multi values in exact cell locations in multi raster layers on top of each other. The more raster layers included for search, the longer time needed to obtain results and the more space needed for storage. This paper represents an innovated methodology in GIS programming, using the MapWindow open source GIS standalone development paradigm, to improve the searching speed for a distinct composite of multi values of identical cell locations in multi raster layers.The paper explains the development evolvement through four different approaches of searching multi raster layers. Each approach is an advancement of the previous approach in terms of speed and storage capacity. A timer tool was developed to calculate the mean time of running thirteen different queries against a small multi raster dataset and a large one, using the first basic approach and the fourth fastest approach. The results of the timer tool represents a significant improvement of searching speed, approximately twelve times faster. In addition, statistical analysis testing was applied to generate the percentage of agreement between the results of approaches one and four.</p>
/sessions/fast-search-mechanism-multiple-raster-layers-mapwindow-open-source-gis#comments
Case Studies
Development
Tue, 19 Jul 2011 03:50:23 +0000
admin
633 at
Introducing DotSpatial - an Open Source .NET GIS Framework
/sessions/introducing-dotspatial-open-source-net-gis-framework
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Poster </div>
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Mr Matthew Klein, ISU </div>
<div class="field-item even">
Dr Daniel Ames </div>
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</div>
<p>DotSpatial is a free, open source, set of libraries developed on the Microsoft .NET framework which provides projection, visualization, and extensibility features. DotSpatial allows rapid development and deployment of C# and VB.NET based spatial data, analysis, and mapping applications. DotSpatial has been downloaded over 25000 times since the project started in April 2010, has 74 team members. This presentation will provide an introduction to the DotSpatial project including, goals, target users, project status and project roadmap. Additionally, a few representative software application built on DotSpatial will be presented.</p>
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<p>Matthew Klein is a software engineer who has contributed to the DotSpatial project and improved its compatibility with its predecessor, MapWindow.</p>
<p> </p>
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/sessions/introducing-dotspatial-open-source-net-gis-framework#comments
Development
Tue, 19 Jul 2011 02:04:32 +0000
admin
618 at
A Vivid Relic Under Rapid Transformation
/sessions/vivid-relic-under-rapid-transformation
<div class="field field-type-text field-field-sessiontype">
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Poster </div>
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Dr Thomas Knudsen, National Survey and Cadastre </div>
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Dr Simon Kokkendorff </div>
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Dr. Karsten Engsager </div>
<div class="field-item even">
Dr. Karsten Bormann </div>
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</div>
<p>KMSTR, the transformation system of the Danish National Survey and Cadastre (KMS), has served as the official tool for transformation between Danish map projections and horizontal and vertical datums for half a century. The system originated as a fairly simple implementation of a few conformal mappings, using one of the first compilers for the Algol-60 language. But it has evolved dramatically since then and survived through a range of three programming languages (Algol, Fortran, C), and a large number of operating systems and machine architectures.</p>
<p>Today, in addition to a large number of map projections, KMSTR supports a range of datum shift operations, implemented using either Molodensky transforms, high order polynomials, or NADCON style grid interpolations. KMSTR also includes support for time varying transformations based on plate tectonic motion models, for deriving the proper transformation between a global datum (e.g. ITRF89) and regional, plate fixed reference systems (such as ETRS89) at different epochs.</p>
<p>Recently the extended transverse mercator implementation of KMSTR was included in proj, the leading open source projection package. This is the first step towards making KMSTR more interoperable with other open source projection and transformation packages. From a KMSTR point of view this is highly desirable, since closer relations to proj and other open source projects will facilitate maintenance and development of KMSTR, and will help keeping it in line with the state of the art in geospatial software.</p>
<p>The main objective of this paper is to briefly outline the historical origins of KMSTR, and to describe the architectural design considerations behind an ongoing effort to make KMSTR ready for today’s requirements, most notably by making it 64-bit clean and thread safe. But since the KMSTR code is used in a large number of commercial GIS products, the design considerations are also influenced by the importance of maintaining a stable, backwards compatible version, while also utilizing this golden opportunity to simplify and improve the application program interface (API).</p>
<p>In order to characterize the user-facing parts of KMSTR, in the final part of the paper, we give an introduction to the metadata system used to represent details of map projections and geodetic reference systems in KMSTR, and compare it to the corresponding metadata system used in proj.</p>
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<p>Thomas Knudsen, PhD, is a geodesist and senior adviser at the Danish National Survey and Cadastre, where his primary focus is on geodetic software tools.</p>
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/sessions/vivid-relic-under-rapid-transformation#comments
Case Studies
Development
Tue, 19 Jul 2011 03:53:18 +0000
admin
634 at
Thresholds of Proprietary Software Tolerance... (Open Source on Windows?!)
/sessions/thresholds-proprietary-software-tolerance-open-source-windows-0
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Poster </div>
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Dr Daniel Ames, Idaho State University </div>
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<p>At first blush, Codeplex.com appears to be a self-contained oxymoron of a web site because it is developed and maintained by Microsoft to support the open source software community - especially projects based on Microsoft's .NET platform. Indeed, such a web site should not exist, and definitely should not succeed (though it is...) After all, who would want to create an open source software project -- ostensibly founded on the notion that free idea exchange is of even greater value than a free beer -- and host the project on a web site owned and operated by the very company that bears the greatest wrath of the open source community? Surprisingly, there are a great many (including myself and my colleagues) who would do (and are doing) just that. Are we traitors to our own kind? Are we wannabe OSS'ers who can't cut the Microsoft apron strings? Are we truly proprietary wolves in open source sheep's clothing? This presentation will explore these questions in the context of thresholds of proprietary software tolerance.</p>
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<p>Dr. Daniel P. Ames is a professor of geosciences and civil engineering at Idaho State University. He is the project manager for the widely used MapWindow and DotSpatial FOSS4g projects and manages a research laboratory dedicated to development and application of geospatial software solutions. And he is learning to play the guitar.</p>
<p> </p>
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/sessions/thresholds-proprietary-software-tolerance-open-source-windows-0#comments
Development
Tue, 19 Jul 2011 02:06:40 +0000
admin
619 at
VisREACHER: A FOSS Environmental Decision Support Systems for Odense River Basin in Demark
/sessions/visreacher-foss-environmental-decision-support-systems-odense-river-basin-demark
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Poster </div>
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<div class="field-label">Presenter(s): </div>
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Msc Xuan Zhu Ms </div>
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Prof Arthur Mynett Mr </div>
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Ann Van Griensven </div>
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Yunqing Xuan </div>
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<p>Environmental process researches express the complex model results by using complicated style, e.g. functions, tables, diagraphs and so on. Furthermore, running those models can take large amount of time. These will add the difficulties of decision support process especially when the stakeholders are not experts of this disciplinary. Therefore, the user interface design for such a system is very important which should maintain the scientific model structure and also simplify the interaction with models. Meanwhile, as the decision support system can be used to evaluate the effects of different alternatives, the user interface also should have the ability to render the new scenarios as soon as possible. In this project, we developed one prototype of WebDSS system, named VisREACHER, based on several open source programs: Mapserver, Openlayers, GeoEXT and PostGIS. We put our original water quality model results into a Bayersian Network model to generate the possibilities of future scenarios and then put those possibilities outputs into the postGIS spatial database in order to link with the entire river basin’s topology. After that, we create several vector layers to link with the database which are clickable and editable. By this structure, users can interact with the map-based user interface and input their own assumptions with quick responses. In this way of representing the models, users can get the spatial information quickly and try their own alternatives without running the original water quality model again. These FOSS programs are flexible and powerful in representing spatial information over the map layers. In this paper, Firstly, we will analysis the user requirements of our working package. Secondly, the concept design of this web-based application is given. Thirdly, the technique details are described in following section. Then, the preliminary results are represented. Last but not least, several conclusions and comments are revealed.</p>
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<p>Backgroud is computer science, now is phd student in Hydroinformatics. Research topic is Data visualization in Decision Support System </p>
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/sessions/visreacher-foss-environmental-decision-support-systems-odense-river-basin-demark#comments
Case Studies
Development
Tue, 19 Jul 2011 03:57:30 +0000
admin
635 at
Distributed Processing of Large Satellite Images Using MapReduce
/sessions/distributed-processing-large-satellite-images-using-mapreduce
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Mr Ermias Tesfamariam, Institute for Geoinformatics </div>
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<p>Advances in sensor technology and their ever increasing repositories of the collected data are revolutionizing the mechanisms remotely sensed data are collected, stored and processed. This exponential growth of data archives and the increasing user’s demand for real-and near-real time remote sensing data products has pressurized remote sensing service providers to deliver the required services. The remote sensing community has recognized the challenge in processing large and complex satellite datasets to derive customized products. To address this high demand in computational resources, several efforts have been made in the past few years towards incorporation of high-performance computing models in remote sensing data collection, management and analysis. This study adds an impetus to these efforts by introducing the recent advancements in distributed computing technologies, MapReduce programming paradigm, to the area of remote sensing.</p>
<p>The MapReduce model which is developed by Google Inc. encapsulates the efforts of distributed computing in a highly simplified single library. This simple but powerful programming model can provide us distributed environment without having deep knowledge of parallel programming. This research presents a MapReduce based processing of large satellite images a use case scenario of edge detection methods. Deriving from the conceptual massive remote sensing image processing applications, a prototype of edge detection methods was implemented on MapReduce framework using its open-source implementation, the Apache Hadoop environment. The experiences of the implementation of the MapReduce model of Sobel, Laplacian, and Canny edge detection methods are presented. This thesis also presents the results of the evaluation the effect of parallelization using MapReduce on the quality of the output and the execution time performance tests conducted based on various performance metrics. The MapReduce algorithms were executed on a test environment on heterogeneous cluster that supports the Apache Hadoop open-source software. The successful implementation of the MapReduce algorithms on a distributed environment demonstrates that MapReduce has a great potential for scaling large-scale remotely sensed images processing and perform more complex geospatial problems.</p>
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<p>MSc student at the Erasmus Mundus Master program in Geospatial Technologies of Joint consortium of University of Muenster, Universitat Jaume I, and Universidade Nuova de Lisboa.</p>
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/sessions/distributed-processing-large-satellite-images-using-mapreduce#comments
Benchmarks
Tue, 19 Jul 2011 00:53:13 +0000
admin
604 at
Analysis of medium and small scale Digital Surface Models with respect to slope and aspect
/sessions/analysis-medium-and-small-scale-digital-surface-models-respect-slope-and-aspect
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Poster </div>
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Prof Maria Antonia Brovelli, Politecnico di Milano, DIIAR, Polo regionale di Como </div>
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Eng Sara Lucca </div>
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</div>
<p>The work is about preliminary analysis for DSM errors distribution evaluation.</p>
<p>Three digital models were taken in consideration: the SRTM DSM (step around 90m), the ASTER DSM (step around 30m) and the DSM provided by Lombardia Region (step 2m).<br />The analysis was performed in an area including the walled city of Como and part of the Como province around; in the chosen area a LiDAR dataset, provided by the Lombardia Region, was also available.</p>
<p>At first the LiDAR data were filtered in order to compute a DTM and a DSM characterized by a higher spatial resolution (step of 2m) so they were used as ground truth, considering that he nominal vertical accuracy of the dataset is about 20 cm.</p>
<p>All digital models were three-dimensionally readjusted using points from the LiDAR dataset to remove 3D effects with a Matlab software developed at the Geomatic Laboratory of the Politecnico di Milano.</p>
<p>Once removed three-dimensional effects from the LiDAR derived digital model, 33 classes were obtained from the combination of four slope classes and eight aspect classes (the last class corresponds to flat terrain).</p>
<p>The digital models from SRTM and ASTER as well as the Lombardia Region DSM were compared with respect to the 33 classes in order to evaluate, through two-way ANOVA (Analisys Of VAriance), the dependency on slope or aspect that may be due to survey geometry or to the way a model was generated.</p>
<p>Before and after the readjustment procedure the RMSE between the models and the DSM from LiDAR were computed to evaluate accuracy variations.</p>
<p>In the last part of the work possible DSM errors depending on terrain coverage were evaluated using terrain coverage information DUSAF obtained from Regione Lombardia.</p>
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<p>Degree with honors in Physics, PHD in Geodesy. Vice rector of Polytechnic of Milan with responsability for the Como Campus. Professor of GIS and Internet GIS.</p>
<p> </p>
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/sessions/analysis-medium-and-small-scale-digital-surface-models-respect-slope-and-aspect#comments
Case Studies
Tue, 19 Jul 2011 02:12:01 +0000
admin
620 at
Quantifying the impact of land use on the nitrogen cycle
/sessions/quantifying-impact-land-use-nitrogen-cycle
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Poster </div>
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Sylvain Maillard, la Tour du Valat </div>
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Alain Sandoz PhD </div>
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Jean-Luc Boudenne PhD </div>
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<p> Better knowledge of the impacts of large scale land use on water quality are needed to act on urbanism and country planning at the scale of a global watershed, as outlined in the European Water and Wetlands law.</p>
<p>Nitrogen is one of the most important pollutants in surface waters and comes from different sources. In this study, remote sensing techniques and Geographical Information Systems have been used successfully to monitor and quantify the sources of Nitrogen on the scale of a global watershed.</p>
<p>The surface water selected for the present study is a French River –the Durance- and its surroundings, located in the South-East of France and running through Provence from the Alps to the Rhône River. The watershed area is 14 000 km2 and covers very different landscapes from high mountains to Mediterranean forests, and encounters various human activities.<br />Data have been extracted from two main databases: i) the archive database provided by the USGS which gives us open access to 25 years of Landsat-5 data, ii) A French database reporting analyses of water quality (SANDRE), available from the French Water Agency web portal, which allows us to freely access 40 years’ data.</p>
<p>A supervised classification was applied on the satellite imagery to produce land use maps with a better accuracy than the Corine Landcover datas. The sub-watershed of each sampling station was computed using its geographical location and the ASTER Digital Elevation Model, this allows the calculation of land use statistics for each sub-watershed.<br />In the SANDRE database, total nitrogen is available as the sum of Kjeldahl nitrogen, ammonium, nitrates and nitrites. The concentrations of the different species of nitrogen were averaged by sampling station and year.</p>
<p>Our null hypothesis is that water quality is dependent on land use. A single linear model was applied using land use statistics as an explanatory variable dependent on the concentrations of the different species of nitrogen. The results show a strong relationship between land use and nitrogen concentration (global p-value over 0.98), but this is not the case for all the parameters: nitrates are highly correlated to agriculture but less to forest, and nitrites did not really depend on land use (p-value = 0.29).</p>
<p>This simple statistical model shows an opportunity to quantify the origin of nonpoint source pollution and to adapt country planning recommendations for each watershed area.</p>
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<p>I am a phD student at the University of Provence (France), working at the research centre for the conservation of Mediterranean wetlands, the Tour du valat, located in the Camar