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Статті в журналах з теми "Geospatial Information (GI)"
1
Cullis, Brian J., and David F. LaBranche. "Applying Geospatial Information and Services Capabilities Beyond the Battlespace." International Journal of Applied Geospatial Research 7, no. 4 (October 2016): 64–76. http://dx.doi.org/10.4018/ijagr.2016100106.
Повний текст джерелаАнотація:
While geospatial information resources have traditionally imparted situational awareness in the battlespace, the past twenty years has witnessed broad adoption in other defense environments as well. This paper describes the major catalysts spurring broader investment and use of geospatial information and services (GI&S) beyond the battlespace and into a parallel defense installation mission area known as basingspace. Furthermore, the paper details how the benefits of GI&S for delivering shared situational awareness in both battlespace and basingspace has the National Guard poised to exploit geospatial technologies in a more strategic manner. This paper presents a concise history of how social and technical factors influenced the diffusion of applied geospatial technologies within the defense sector and the potential for greater unity of geospatial efforts for the Department of Defense and the nation.
2
Richta, Tomáš, and Martin Hrubý. "Dynamic object-oriented geospatial modeling." Geoinformatics FCE CTU 4 (February 1, 2009): 29–44. http://dx.doi.org/10.14311/gi.4.2.
Повний текст джерелаАнотація:
Published literature about moving objects (MO) simplifies the problem to the representation and storage of moving points, moving lines, or moving regions. The main insufficiency of this approach is lack of MO inner structure and dynamics modeling – the autonomy of moving agent. This paper describes basics of the object-oriented geospatial methodology for modeling complex systems consisting of agents, which move within spatial environment. The main idea is that during the agent movement, different kinds of connections with other moving or stationary objects are established or disposed, based on some spatial constraint satisfaction or nonfulfilment respectively. The methodology is constructed with regard to following two main conditions – 1) the inner behavior of agents should be represented by any formalism, e.g. Petri net, finite state machine, etc., and 2) the spatial characteristic of environment should be supplied by any information system, that is able to store defined set of spatial types, and support defined set of spatial operations. Finally, the methodology is demonstrated on simple simulation model of tram transportation system.
3
Cetl, V., T. Kliment, and M. Kliment. "BORDERLESS GEOSPATIAL WEB (BOLEGWEB)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 677–82. http://dx.doi.org/10.5194/isprs-archives-xli-b4-677-2016.
Повний текст джерелаАнотація:
The effective access and use of geospatial information (GI) resources acquires a critical value of importance in modern knowledge based society. Standard web services defined by Open Geospatial Consortium (OGC) are frequently used within the implementations of spatial data infrastructures (SDIs) to facilitate discovery and use of geospatial data. This data is stored in databases located in a layer, called the invisible web, thus are ignored by search engines. SDI uses a catalogue (discovery) service for the web as a gateway to the GI world through the metadata defined by ISO standards, which are structurally diverse to OGC metadata. Therefore, a crosswalk needs to be implemented to bridge the OGC resources discovered on mainstream web with those documented by metadata in an SDI to enrich its information extent. A public global wide and user friendly portal of OGC resources available on the web ensures and enhances the use of GI within a multidisciplinary context and bridges the geospatial web from the end-user perspective, thus opens its borders to everybody. <br><br> Project “Crosswalking the layers of geospatial information resources to enable a borderless geospatial web” with the acronym BOLEGWEB is ongoing as a postdoctoral research project at the Faculty of Geodesy, University of Zagreb in Croatia (http://bolegweb.geof.unizg.hr/). The research leading to the results of the project has received funding from the European Union Seventh Framework Programme (FP7 2007-2013) under Marie Curie FP7-PEOPLE-2011-COFUND. The project started in the November 2014 and is planned to be finished by the end of 2016. This paper provides an overview of the project, research questions and methodology, so far achieved results and future steps.
4
Oh, Kwan-Young, and Moung-Jin Lee. "Research Trend Analysis of Geospatial Information in South Korea Using Text-Mining Technology." Journal of Sensors 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/2765256.
Повний текст джерелаАнотація:
The purpose of this study was to analyze geospatial information (GI) research trends using text-mining techniques. Data were collected from 869 papers found in the Korea Citation Index (KCI) database (DB). Keywords extracted from these papers were classified into 13 GI domains and 13 research domains. We conducted basic statistical analyses (e.g., frequency and time series analyses) and network analyses, using such measures as frequency, degree, closeness centrality, and betweenness centrality, on the resulting domains. We subdivided the most frequent GI domain for more detailed analysis. Such processes permit an analysis of the relationships between the Research Fields associated with each GI. Our time series analysis found that the Climate and Satellite Image domain frequencies continuously increased. Satellite Image, General-Purpose Map, and Natural Disaster Map in the GI domain and Climate and Natural Disaster in the Research Field domain appeared in the center of the GI-Research Field network. We subdivided the Satellite Image domain for detailed analysis. As a result, LANDSAT, KOMPSAT, and MODIS displayed high scores on the frequency, degree, closeness centrality, and betweenness centrality indices. These results will be useful in GI-based interdisciplinary research and the selection of new research themes.
5
Cetl, V., T. Kliment, and M. Kliment. "BORDERLESS GEOSPATIAL WEB (BOLEGWEB)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 677–82. http://dx.doi.org/10.5194/isprsarchives-xli-b4-677-2016.
Повний текст джерелаАнотація:
The effective access and use of geospatial information (GI) resources acquires a critical value of importance in modern knowledge based society. Standard web services defined by Open Geospatial Consortium (OGC) are frequently used within the implementations of spatial data infrastructures (SDIs) to facilitate discovery and use of geospatial data. This data is stored in databases located in a layer, called the invisible web, thus are ignored by search engines. SDI uses a catalogue (discovery) service for the web as a gateway to the GI world through the metadata defined by ISO standards, which are structurally diverse to OGC metadata. Therefore, a crosswalk needs to be implemented to bridge the OGC resources discovered on mainstream web with those documented by metadata in an SDI to enrich its information extent. A public global wide and user friendly portal of OGC resources available on the web ensures and enhances the use of GI within a multidisciplinary context and bridges the geospatial web from the end-user perspective, thus opens its borders to everybody. <br><br> Project “Crosswalking the layers of geospatial information resources to enable a borderless geospatial web” with the acronym BOLEGWEB is ongoing as a postdoctoral research project at the Faculty of Geodesy, University of Zagreb in Croatia (http://bolegweb.geof.unizg.hr/). The research leading to the results of the project has received funding from the European Union Seventh Framework Programme (FP7 2007-2013) under Marie Curie FP7-PEOPLE-2011-COFUND. The project started in the November 2014 and is planned to be finished by the end of 2016. This paper provides an overview of the project, research questions and methodology, so far achieved results and future steps.
6
Remondino, Fabio, Alessandro Rizzi, Belen Jimenez, Giorgio Agugiaro, Giorgio Baratti, and Raffaele De Amicis. "The Etruscans in 3D: From Space to Underground." Geoinformatics FCE CTU 6 (December 21, 2011): 283–90. http://dx.doi.org/10.14311/gi.6.35.
Повний текст джерелаАнотація:
eomatics and Geoinformatics deal with spatial and geographic information, 3D surveying and modeling as well as information science infrastructures. Geomatics and Geoinformatics are thus involved in cartography, mapping, photogrammetry, remote sensing, laser scanning, Geographic Information Systems (GIS), Global Navigation Satellite Systems (GNSS), geo-visualisation, geospatial data analysis and Cultural Heritage documentation. In particular the Cultural Heritage field can largely benefit from different Information and Communication Technologies (ICT) tools to make digital heritage information more informative for documentation and conservation issues, archaeological analyses or virtual museums. This work presents the 3D surveying and modeling of different Etruscan heritage sites with their underground frescoed tombs dating back to VII-IV century B.C.. The recorded and processed 3D data are used, beside digital conservation, preservation, transmission to future generations and studies purposes, to create digital contents for virtual visits, museum exhibitions, better access and communication of the heritage information, etc.
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Zhuang, Can, Zhong Xie, Kai Ma, Mingqiang Guo, and Liang Wu. "A Task-Oriented Knowledge Base for Geospatial Problem-Solving." ISPRS International Journal of Geo-Information 7, no. 11 (October 31, 2018): 423. http://dx.doi.org/10.3390/ijgi7110423.
Повний текст джерелаАнотація:
In recent years, the rapid development of cloud computing and web technologies has led to a significant advancement to chain geospatial information services (GI services) in order to solve complex geospatial problems. However, the construction of a problem-solving workflow requires considerable expertise for end-users. Currently, few studies design a knowledge base to capture and share geospatial problem-solving knowledge. This paper abstracts a geospatial problem as a task that can be further decomposed into multiple subtasks. The task distinguishes three distinct granularities: Geooperator, Atomic Task, and Composite Task. A task model is presented to define the outline of problem solution at a conceptual level that closely reflects the processes for problem-solving. A task-oriented knowledge base that leverages an ontology-based approach is built to capture and share task knowledge. This knowledge base provides the potential for reusing task knowledge when faced with a similar problem. Conclusively, the details of implementation are described through using a meteorological early-warning analysis as an example.
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Can, R., S. Kocaman, and A. O. Ok. "A WEBGIS FRAMEWORK FOR SEMI-AUTOMATED GEODATABASE UPDATING ASSISTED BY DEEP LEARNING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2021 (June 30, 2021): 13–19. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2021-13-2021.
Повний текст джерелаАнотація:
Abstract. The automation of geoinformation (GI) collection and interpretation has been a fundamental goal for many researchers. The developments in various sensors, platforms, and algorithms have been contributing to the achievement of this goal. In addition, the contributions of citizen science (CitSci) and volunteered geographical information (VGI) concepts have become evident and extensive for the geodata collection and interpretation in the era where information has the utmost importance to solve societal and environmental problems. The web- and mobile-based Geographical Information Systems (GIS) have facilitated the broad and frequent use of GI by people from any background, thanks to the accessibility and the simplicity of the platforms. On the other hand, the increased use of GI also yielded a great increment in the demand for GI in different application areas. Thus, new algorithms and platforms allowing human intervention are immensely required for semi-automatic GI extraction to increase the accuracy. By integrating the novel artificial intelligence (AI) methods including deep learning (DL) algorithms on WebGIS interfaces, this task can be achieved. Thus, volunteers with limited knowledge on GIS software can be supported to perform accurate processing and to make guided decisions. In this study, a web-based geospatial AI (GeoAI) platform was developed for map updating by using the image processing results obtained from a DL algorithm to assist volunteers. The platform includes vector drawing and editing capabilities and employs a spatial database management system to store the final maps. The system is flexible and can utilise various DL methods in the image segmentation.
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Minghini, M., M. A. Brovelli, D. Vandenbroucke, M. Carbonaro, S. Prüller, M. Painho, G. Martirano, and D. Frigne. "FOSS4G AS A KEY BUILDING BLOCK FOR CASE-BASED LEARNING IN GEOGRAPHIC INFORMATION EDUCATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W2 (July 5, 2017): 129–35. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w2-129-2017.
Повний текст джерелаАнотація:
In the sector of Geographic Information (GI) there is a gap between the education and training currently being offered by European universities and the knowledge and skills required by enterprises and public authorities. New forms of collaboration based on innovative methods are needed to cope with the challenges derived from the fast technological developments in the geospatial and ICT field. This paper presents the approach and the first findings of the EU Erasmus+ project giCASES – Creating a University-Enterprise Alliance for a Spatially Enabled Society (2016–2018) which addresses this challenge by introducing new methods for case-based and collaborative learning, and for the co-creation, management and sharing of knowledge between universities and enterprises. The aim of the project is to develop new training material and create innovative, multi-disciplinary learning processes based on real-world case studies (case-based learning). The paper focuses on the methodological approach developed during the first half of the project, and presents the 6 case studies where this approach will be tested during the second half. Despite the diversity of application domains (indoor mapping, environmental hazards, e-Government, utility networks, energy saving policies, and forestry), the case studies are all relevant to open source software and FOSS4G technologies will play a key role in their implementation, thus demonstrating their matureness and flexibility not only as GI teaching tools at the universities, but also as powerful means to develop innovative new services at the companies.
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Permatasari, Afrinia Lisditya, Ika Afianita Suherningtyas, and Putu Perdana Kusuma Wiguna. "Kesiapan infrastruktur data spasial sebagai upaya mitigasi banjir lahar di kali putih Kabupaten Magelang Jawa Tengah." Jurnal Pendidikan Geografi 26, no. 1 (January 30, 2021): 15–29. http://dx.doi.org/10.17977/um017v26i12021p015.
Повний текст джерелаАнотація:
Availability of Spatial Data Infrastructure (SDI) has an important role in disaster management. The purpose of this research is to analyze the readiness of the Spatial Data Infrastructure (IDS) as an effort to mitigate the lava flood in Kali Putih, Magelang Regency, Central Java. The research method was carried out by interview, survey and secondary data collection and SWOT analysis. The results of the SWOT analysis, on the Strength-Opportunity matrix, conclude that the optimization of Spatial Data Infrastructure (IDS) and the Indonesian National Standard (SNI) in the field of Geospatial Information (IG). The Strenght-Threath analysis concludes the need to use quality spatial data for government agencies. Opportunity - Weakness analysis concludes that there is a need for Web GIS development and the need to improve the quality of GI and the quality of human resources in the field of GI. Threat-Weakness analysis resulted in a conclusion, namely the need to refer to the one map and one data policy as well as the ID and SDI field policies.
Частини книг з теми "Geospatial Information (GI)"
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Schade, Sven, Carlos Granell, Glenn Vancauwenberghe, Carsten Keßler, Danny Vandenbroucke, Ian Masser, and Michael Gould. "Geospatial Information Infrastructures." In Manual of Digital Earth, 161–90. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_5.
Повний текст джерелаАнотація:
Abstract Geospatial information infrastructures (GIIs) provide the technological, semantic, organizational and legal structure that allow for the discovery, sharing, and use of geospatial information (GI). In this chapter, we introduce the overall concept and surrounding notions such as geographic information systems (GIS) and spatial data infrastructures (SDI). We outline the history of GIIs in terms of the organizational and technological developments as well as the current state-of-art, and reflect on some of the central challenges and possible future trajectories. We focus on the tension between increased needs for standardization and the ever-accelerating technological changes. We conclude that GIIs evolved as a strong underpinning contribution to implementation of the Digital Earth vision. In the future, these infrastructures are challenged to become flexible and robust enough to absorb and embrace technological transformations and the accompanying societal and organizational implications. With this contribution, we present the reader a comprehensive overview of the field and a solid basis for reflections about future developments.
2
Cullis, Brian J., and David F. LaBranche. "Applying Geospatial Information and Services Capabilities Beyond the Battlespace." In Geospatial Intelligence, 1264–77. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch054.
Повний текст джерелаАнотація:
While geospatial information resources have traditionally imparted situational awareness in the battlespace, the past twenty years has witnessed broad adoption in other defense environments as well. This paper describes the major catalysts spurring broader investment and use of geospatial information and services (GI&S) beyond the battlespace and into a parallel defense installation mission area known as basingspace. Furthermore, the paper details how the benefits of GI&S for delivering shared situational awareness in both battlespace and basingspace has the National Guard poised to exploit geospatial technologies in a more strategic manner. This paper presents a concise history of how social and technical factors influenced the diffusion of applied geospatial technologies within the defense sector and the potential for greater unity of geospatial efforts for the Department of Defense and the nation.
Звіти організацій з теми "Geospatial Information (GI)"
1
Williams, C. K. Is Reach Back" a Viable Means to Provide Geospatial Information and Services (GI&S) Support for the Objective Force?". Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada401703.
Повний текст джерела