The article addresses the solution of the external orientation of the camera by means of a generic algorithm which replaces complicated calculation models using the matrix inverse. The computation requires the knowledge of four control points in the spatial coordinate system and the image coordinate system. The computation procedure fits very well computer-based solutions thanks to it being very simple.
{"title":"Genetic Algorithm in the Computation of the Camera External Orientation","authors":"R. Urban, M. Štroner","doi":"10.14311/GI.9.1","DOIUrl":"https://doi.org/10.14311/GI.9.1","url":null,"abstract":"The article addresses the solution of the external orientation of the camera by means of a generic algorithm which replaces complicated calculation models using the matrix inverse. The computation requires the knowledge of four control points in the spatial coordinate system and the image coordinate system. The computation procedure fits very well computer-based solutions thanks to it being very simple.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121567871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents new Quantum GIS plugin for Czech cadastral data and its development. QGIS is a rapidly developing cross-platform desktop Geographic Information System (GIS) released under the GNU GPL. QGIS is written in C++, and uses the Qt library. The plugin is developed in C++, too. The new plugin can work with Czech cadastral data in the new Czech cadastral exchange data format called VFK (or NVF). Data are accessed through VFK driver of the OGR library. The plugin should facilitate the work with cadastral data by easy search and presenting well arranged information. Information is displayed in the way similar to web applications, thus the control is friendly and familiar for users. The plugin supports interaction with map using QGIS functionality and it is able to export various cadastral reports. This paper provides ideas which can be generalized to develop QGIS plugin dealing with specific data.
{"title":"Quantum GIS plugin for Czech cadastral data","authors":"A. Kratochvílová, V. Petras","doi":"10.14311/GI.8.7","DOIUrl":"https://doi.org/10.14311/GI.8.7","url":null,"abstract":"This paper presents new Quantum GIS plugin for Czech cadastral data and its development. QGIS is a rapidly developing cross-platform desktop Geographic Information System (GIS) released under the GNU GPL. QGIS is written in C++, and uses the Qt library. The plugin is developed in C++, too. The new plugin can work with Czech cadastral data in the new Czech cadastral exchange data format called VFK (or NVF). Data are accessed through VFK driver of the OGR library. The plugin should facilitate the work with cadastral data by easy search and presenting well arranged information. Information is displayed in the way similar to web applications, thus the control is friendly and familiar for users. The plugin supports interaction with map using QGIS functionality and it is able to export various cadastral reports. This paper provides ideas which can be generalized to develop QGIS plugin dealing with specific data.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article is dedicated to the topic of the implementation of INSPIRE directive within the Information System of the Czech Cadastre of Real Estates. The procedure of implementation of the INSPIRE directive for cadastral related themes, which started in 2008, is followed. Currently running view and download services as well as experience with its operational run are described. Finally an overview of the implementation problems and scheduled follow-up activities are outlined.
{"title":"Implementing INSPIRE for the Czech","authors":"J. Poláček, P. Soucek","doi":"10.14311/GI.8.1","DOIUrl":"https://doi.org/10.14311/GI.8.1","url":null,"abstract":"The article is dedicated to the topic of the implementation of INSPIRE directive within the Information System of the Czech Cadastre of Real Estates. The procedure of implementation of the INSPIRE directive for cadastral related themes, which started in 2008, is followed. Currently running view and download services as well as experience with its operational run are described. Finally an overview of the implementation problems and scheduled follow-up activities are outlined.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114499686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This special issue about the FOSS4G-CEE & Geoinformatics 2012, held for the first time in May 2012, is offering selected reviewed papers of the conference. Geoinformatics FCE CTU, started in 2006 at the Department of Mapping and Cartography, Faculty of Civil Engineering, Czech Technical University in Prague, covered the academic section of FOSS4G-CEE. The acronym FOSS4G was first introduced in 2004 as an acronym for Free and Open Source Software for Geoinformatics by a Japanese research group in a publication and then used for the GRASS GIS Users Conference held in 2004 in Bangkok, Thailand. Later on this acronym was transferred to Open Source Geospatial Foundation (OSGeo.org) for their annual conference. The FOSS4G-CEE 2012 was the first regional FOSS4G conference in Central and East Europe. There were more than sixty presentations, six workshops and five tutorials accepted for the conference. Number of registered participants was 120 from twenty countries, namely the Czech Republik (35), Romania (14), Germany (12), France (6), Austria (5), Slovakia (4) and Estonia, Hungary, Switzerland, Poland, Turkey, USA, Italy, United Kingdom, Croatia, Rwanda, New Zealand, Georgia, Ghana and Nigeria (ranging from 3 to 1 participants).
{"title":"Preface for Vol 8 FOSS4G Prague","authors":"M. Neteler, A. Čepek","doi":"10.14311/GI.8.0","DOIUrl":"https://doi.org/10.14311/GI.8.0","url":null,"abstract":"This special issue about the FOSS4G-CEE & Geoinformatics 2012, held for the first time in May 2012, is offering selected reviewed papers of the conference. Geoinformatics FCE CTU, started in 2006 at the Department of Mapping and Cartography, Faculty of Civil Engineering, Czech Technical University in Prague, covered the academic section of FOSS4G-CEE. The acronym FOSS4G was first introduced in 2004 as an acronym for Free and Open Source Software for Geoinformatics by a Japanese research group in a publication and then used for the GRASS GIS Users Conference held in 2004 in Bangkok, Thailand. Later on this acronym was transferred to Open Source Geospatial Foundation (OSGeo.org) for their annual conference. The FOSS4G-CEE 2012 was the first regional FOSS4G conference in Central and East Europe. There were more than sixty presentations, six workshops and five tutorials accepted for the conference. Number of registered participants was 120 from twenty countries, namely the Czech Republik (35), Romania (14), Germany (12), France (6), Austria (5), Slovakia (4) and Estonia, Hungary, Switzerland, Poland, Turkey, USA, Italy, United Kingdom, Croatia, Rwanda, New Zealand, Georgia, Ghana and Nigeria (ranging from 3 to 1 participants).","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115800177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Near-Earth Objects (NEOs) are the most important of the small bodies of the solar system, having the capability of close approaches to the Earth and the chance to collide with the Earth. We present here the current system of discovery of these dangerous objects, standards for selecting useful and important targets for NEO follow-up astrometry, system of impact probabilities calculations, and also determination of impact site and evacuation area.
{"title":"From Discovery to Impact - Near Earth Asteroids","authors":"M. Tichý, M. Honková, J. Tichá, M. Kočer","doi":"10.14311/GI.8.5","DOIUrl":"https://doi.org/10.14311/GI.8.5","url":null,"abstract":"The Near-Earth Objects (NEOs) are the most important of the small bodies of the solar system, having the capability of close approaches to the Earth and the chance to collide with the Earth. We present here the current system of discovery of these dangerous objects, standards for selecting useful and important targets for NEO follow-up astrometry, system of impact probabilities calculations, and also determination of impact site and evacuation area.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geostatistics is a scientific field which provides methods for processing spatial data. In our project, geostatistics is used as a tool for describing spatial continuity and making predictions of some natural phenomena. An open source statistical project called R is used for all calculations. Listeners will be provided with a brief introduction to R and its geostatistical packages and basic principles of kriging and cokriging methods. Heavy mathematical background is omitted due to its complexity. In the second part of the presentation, several examples are shown of how to make a prediction in the whole area of interest where observations were made in just a few points. Results of these methods are compared.
{"title":"Geostatistical Methods in R","authors":"Adéla Volfová, M. Šmejkal","doi":"10.14311/GI.8.3","DOIUrl":"https://doi.org/10.14311/GI.8.3","url":null,"abstract":"Geostatistics is a scientific field which provides methods for processing spatial data. In our project, geostatistics is used as a tool for describing spatial continuity and making predictions of some natural phenomena. An open source statistical project called R is used for all calculations. Listeners will be provided with a brief introduction to R and its geostatistical packages and basic principles of kriging and cokriging methods. Heavy mathematical background is omitted due to its complexity. In the second part of the presentation, several examples are shown of how to make a prediction in the whole area of interest where observations were made in just a few points. Results of these methods are compared.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114199374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper introduces the new GRASS GIS add-on module g.infer. The module enables rule-based analysis and workflow management in GRASS GIS, via data-driven inference processes based on the expert system shell CLIPS. The paper discusses the theoretical and developmental background that will help prepare the reader to use the module for Knowledge Engineering applications. In addition, potential application scenarios are sketched out, ranging from the rule-driven formulation of nontrivial GIS-classification tasks and GIS workflows to ontology management and intelligent software agents.
{"title":"Introducing the new GRASS module g.infer for data-driven rule-based applications","authors":"P. Löwe","doi":"10.14311/GI.8.2","DOIUrl":"https://doi.org/10.14311/GI.8.2","url":null,"abstract":"This paper introduces the new GRASS GIS add-on module g.infer. The module enables rule-based analysis and workflow management in GRASS GIS, via data-driven inference processes based on the expert system shell CLIPS. The paper discusses the theoretical and developmental background that will help prepare the reader to use the module for Knowledge Engineering applications. In addition, potential application scenarios are sketched out, ranging from the rule-driven formulation of nontrivial GIS-classification tasks and GIS workflows to ontology management and intelligent software agents.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126004125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote sensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic services such as the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the network before they are fused and processed on the service middleware. This process is very massive and unnecessary communication and work load on the service. Massive work load in large raster downloads from flat-file raster data sources each time a request is made and huge integration and geo-processing work load on the service middleware which could actually be better leveraged at the database level. In this paper, we propose and present a heterogeneous sensor database framework or model for integration, geo-processing and spatial analysis of remote and in-situ sensor observations at the database level. And how this can be integrated in the Sensor Observation Service, SOS to reduce communication and massive workload on the Geospatial Web Services and as well make query request from the user end a lot more flexible.
{"title":"PostGIS-Based Heterogeneous Sensor Database Framework for the Sensor Observation Service","authors":"Ikechukwu Maduako","doi":"10.14311/GI.8.4","DOIUrl":"https://doi.org/10.14311/GI.8.4","url":null,"abstract":"Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote sensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic services such as the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the network before they are fused and processed on the service middleware. This process is very massive and unnecessary communication and work load on the service. Massive work load in large raster downloads from flat-file raster data sources each time a request is made and huge integration and geo-processing work load on the service middleware which could actually be better leveraged at the database level. In this paper, we propose and present a heterogeneous sensor database framework or model for integration, geo-processing and spatial analysis of remote and in-situ sensor observations at the database level. And how this can be integrated in the Sensor Observation Service, SOS to reduce communication and massive workload on the Geospatial Web Services and as well make query request from the user end a lot more flexible.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115777965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper assesses different approaches in education between Western and Eastern Europe. It is based on a case study, comparing which compares universityies conventions inbetween Spain and Czech Republic, focusinged on e-learning and Open Source softwareources. The Eeducation system at Polytechnic University in Valencia (UPV) puts much more emphasis on open source solutions and elearning compared to the situation in Czech Republic. gvSIG is an open source geographic information system (GIS), co-developed at UPV as ain collaboration of commercial companies with research institutions. Lecturers at UPV significantly integrate free and open source (FOSS) into classes as well as they participate in open source communities like Planet gvSIG, gvSIG Outreach or Association for the promotion of FOSS4G and the development of gvSIG. In fact, a complex system for self-education in the field of GIS has been developed there. It combines positive relationship to open source solutions and takes advantage from all sections together. The “Aula Virtual” project is a virtual training classroom using the virtual educational platform. Great emphasis is put on step-by-step video tutorials. 300 videos are uploaded on PoliTube Channel, which contain both video and audio and “time-stamps-links”. Time-stamp allows the possibility to switch among videos and other sources (annotation, webpages, etc.) dependent on the student’s individual requirements. Compared to the situation in the Czech Republic, where proprietary software is still preferred in the academic sphere, this topic brings place for discussion. This paper discusses two different points of views, benefits of both of them and proposes a solution with regard to the specifics of Czech university education.
{"title":"Potential influence of e-learning and Open Source solutions for education at Palacký University in Olomouc inspired by Polytechnic University in Valencia","authors":"R. Nétek","doi":"10.14311/GI.8.6","DOIUrl":"https://doi.org/10.14311/GI.8.6","url":null,"abstract":"This paper assesses different approaches in education between Western and Eastern Europe. It is based on a case study, comparing which compares universityies conventions inbetween Spain and Czech Republic, focusinged on e-learning and Open Source softwareources. The Eeducation system at Polytechnic University in Valencia (UPV) puts much more emphasis on open source solutions and elearning compared to the situation in Czech Republic. gvSIG is an open source geographic information system (GIS), co-developed at UPV as ain collaboration of commercial companies with research institutions. Lecturers at UPV significantly integrate free and open source (FOSS) into classes as well as they participate in open source communities like Planet gvSIG, gvSIG Outreach or Association for the promotion of FOSS4G and the development of gvSIG. In fact, a complex system for self-education in the field of GIS has been developed there. It combines positive relationship to open source solutions and takes advantage from all sections together. The “Aula Virtual” project is a virtual training classroom using the virtual educational platform. Great emphasis is put on step-by-step video tutorials. 300 videos are uploaded on PoliTube Channel, which contain both video and audio and “time-stamps-links”. Time-stamp allows the possibility to switch among videos and other sources (annotation, webpages, etc.) dependent on the student’s individual requirements. Compared to the situation in the Czech Republic, where proprietary software is still preferred in the academic sphere, this topic brings place for discussion. This paper discusses two different points of views, benefits of both of them and proposes a solution with regard to the specifics of Czech university education.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123518031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Near Earth Object (NEO) research is an expanding field of astronomy. Is is important for solar system science and also for protecting human society from asteroid and comet hazard. A near-Earth object (NEO) can be defined as an asteroid or comet that has a possibility of making an approach to the Earth, or possibly even collide with it. The discovery rate of current NEO surveys reflects progressive improvement in a number of technical areas. An integral part of NEO discovery is astrometric follow-up fundamental for precise orbit computation and for the reasonable judging of future close encounters with the Earth including possible impact solutions. A wide international cooperation is fundamental for NEO research. The Klet Observatory (South Bohemia, Czech Republic) is aimed especially at the confirmation, early follow-up, long-arc follow-up and recovery of Near Earth Objects. It ranks among the world´s most prolific professional NEO follow-up programmes. The first NEO follow-up programme started at Klet in 1993 using 0.57-reflector equipped with a small CCD camera. A fundamental upgrade was made in 2002 when the 1.06-m KLENOT telescope was put into regular operation. The KLENOT Telescope is the largest telescope in Europe used exclusively for observations of minor planets (asteroids) and comets and full observing time is dedicated to the KLENOT team. Equipment, technology, software, observing strategy and results of both the Klet Observatory NEO Project between 1993-2010 and the first phase of the KLENOT Project from March 2002 to September 2008 are presented. They consist of thousands of precise astrometric measurements of Near Earth Objects and also three newly discovered Near Earth Asteroids. Klet Observatory NEO activities as well as our future plans fully reflect international strategies and cooperation in the field of NEO studies.
{"title":"Klet Observatory - European Contribution to Detecting and Tracking of Near Earth Objects","authors":"M. Tichý","doi":"10.14311/GI.7.9","DOIUrl":"https://doi.org/10.14311/GI.7.9","url":null,"abstract":"Near Earth Object (NEO) research is an expanding field of astronomy. Is is important for solar system science and also for protecting human society from asteroid and comet hazard. A near-Earth object (NEO) can be defined as an asteroid or comet that has a possibility of making an approach to the Earth, or possibly even collide with it. The discovery rate of current NEO surveys reflects progressive improvement in a number of technical areas. An integral part of NEO discovery is astrometric follow-up fundamental for precise orbit computation and for the reasonable judging of future close encounters with the Earth including possible impact solutions. A wide international cooperation is fundamental for NEO research. The Klet Observatory (South Bohemia, Czech Republic) is aimed especially at the confirmation, early follow-up, long-arc follow-up and recovery of Near Earth Objects. It ranks among the world´s most prolific professional NEO follow-up programmes. The first NEO follow-up programme started at Klet in 1993 using 0.57-reflector equipped with a small CCD camera. A fundamental upgrade was made in 2002 when the 1.06-m KLENOT telescope was put into regular operation. The KLENOT Telescope is the largest telescope in Europe used exclusively for observations of minor planets (asteroids) and comets and full observing time is dedicated to the KLENOT team. Equipment, technology, software, observing strategy and results of both the Klet Observatory NEO Project between 1993-2010 and the first phase of the KLENOT Project from March 2002 to September 2008 are presented. They consist of thousands of precise astrometric measurements of Near Earth Objects and also three newly discovered Near Earth Asteroids. Klet Observatory NEO activities as well as our future plans fully reflect international strategies and cooperation in the field of NEO studies.","PeriodicalId":436054,"journal":{"name":"Geoinformatics FCE CTU","volume":"2 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128286931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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