Готові списки джерел за темами / Geodatabases

Добірка наукової літератури з теми "Geodatabases"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 27 липня 2024

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Статті в журналах з теми "Geodatabases"

1

Matchin, V. T. "GEODATABASES." Educational resources and technology, no. 3 (2017): 100–108. http://dx.doi.org/10.21777/2500-2112-2017-3-100-108.

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2

Pavlova, Anna I. "SPATIAL DATABASES OF AGRONOMIC GEOINFORMATION SYSTEMS." Siberian Journal of Life Sciences and Agriculture 13, no. 5 (March 21, 2022): 336–49. http://dx.doi.org/10.12731/2658-6649-2021-13-5-336-349.

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The work is devoted to the development of spatial databases for the assessment of agricultural land. The geodatabase is aimed at geoinformation support of assessment, agroecological typing (groups, types of land) of agricultural lands, development of adaptive-landscape farming systems. The paper presents the structure of the database of regional and local levels. Three different ways of user interaction with the AgroGIS database are proposed. For practical implementation, it is proposed to use the object-functional approach to database development, based on the use of cloud data storage technology in the DBMS SQlite. Background. Geoinformation support of agronomic geoinformation systems (AgroGIS) is aimed at assessing natural-territorial conditions and environmental factors in agrolandscapes, development of adaptive landscape farming systems. AgroGIS geodatabases serve to store, analyze and present spatial information on agricultural land. As shown by an analysis of literary sources, the term “geodatabase” was formed more than twenty years ago. At the same time different geodatabases are known: archaeological, cartographic, soil and others. They differ in the object of research, structure and content, as well as the way of data organization. This indicates the relevance of the topics of the present research. Purpose. The purpose of the work is to develop the structure and content of the geodatabase agronomic GIS. Materials and methods. The object-functional approach to database development, which is supported by object-oriented database management systems (DBMS) and classical relational DBMS, is used. The essence of this approach is to implement functional tasks taking into account the needs of the user. Results. The main components of geodatabase in the form of separate sets of spatial classes (Climate, Relief, Soil, Vegetation, Hydrography, Agrolandscape) are proposed. At the same time the paper shows the need for practical implementation of agronomic geoinformation geodatabases from several aspects. Conclusion. In the development of spatial databases of agronomic GIS the most important feature is the ability to constantly update information in the form of temporal component. Practical implementation of temporal geodatabases is possible with the use of non-relational database management systems, as well as methods of processing big data (Big Data).
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3

Lazorenko-Hevel, Nadiia, Yurii Karpinskyi, Danylo Kin, and Olexander Lets. "Automation of quality control of digital topographic maps at the scale 1:50 000 of the Main State Topographic Map in Ukraine." Proceedings of the ICA 4 (December 3, 2021): 1–7. http://dx.doi.org/10.5194/ica-proc-4-65-2021.

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Abstract. This research examines the problem of automation of quality control of digital topographic maps at the scale 1:50 000 of the Main State Topographic Map in Ukraine for the creation and maintaining the seamless topographic database for national needs, which is located on the Geoportal to ensure the development of the National Spatial Data Infrastructure (NSDI) in Ukraine. The authors determined stages of quality control of digital topographic maps at the scale of 1:50 000 for the automation one according to ISO 19157:2013 Geographic Information – Data quality. The realized automated quality control of geodatabases of updated digital topographic maps at a scale of 1:50 000 provides high speed and quality of validation: validation of quality data elements; validation of quality metadata; validation of positional accuracy. The software package “Validate” was developed for automation quality control geodatabases of digital topographic maps at the scale of 1:50 000 using the Python programming language to verify logical consistency, compliance with the rules of topological relationships between features on the map, availability and content of metadata. The “Validate” can be used for automation quality control geodatabase for any map scale, performing setting according to the requirements of the geospatial models.
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4

Buryak, Z. A., F. N. Lisetskii, and S. V. Ilyashenko. "Geoinformation analytical system “Archaeological sites of Crimea”." Geodesy and Cartography 942, no. 12 (January 20, 2019): 29–40. http://dx.doi.org/10.22389/0016-7126-2018-942-12-29-40.

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The author focuses on the use of geographic information systems capabilities in the archaeological mapping, the results of the geoinformation analytical system creation “Crimean Archaeological sites”. The purpose of the work was to create a geodatabase for archaeological heritage sites in the Crimea, and also assess the degree of their legal protection in the current conditions of active land development and the formation of the Russian land legal system. On this purpose methods of digital mapping, processing the Earth remote sensing data and spatial analysis in GIS were used. For the first time, the mapping and specification of all the recorded coordinates for the Crimean archaeological sites was carried out, a geodatabase was created. This made it possible to identify “acute” situations associated with land use and creating a threat of destruction for archaeological sites. The results of the work were posted on the geoportal “Archaeological Monuments of the Crimea” to ensure continuous geodatabases updating and monitoring archaeological sites.
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Allen, David W., and Matthew J. Gerike. "Focus on Geodatabases in ArcGIS Pro." Photogrammetric Engineering & Remote Sensing 87, no. 7 (July 1, 2021): 468–69. http://dx.doi.org/10.14358/pers.87.7.468.

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Alamouri, A., and M. Gerke. "DEVELOPMENT OF A GEODATABASE FOR EFFICIENT REMOTE SENSING DATA MANAGEMENT IN EMERGENCY SCENARIOS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 87–93. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-87-2019.

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<p><strong>Abstract.</strong> Disasters such as floods, large fires, landslides, avalanches, or forest fires are often inevitable and cannot be fully prevented, but their impact can be minimized with sound disaster management strategies aided by the latest technological advancements. A key factor affecting these strategies is the time, because any delay can result in dramatic consequences and potentially human losses. Therefore, a quick geo-situation report of the disaster is highly demanded, but still not an easy task because – in most cases – a priori known spatial information like map data or geodatabases, are outdated, and anyway won’t provide an overview on the current situation. This paper provides an exploratory investigation to be smart in providing correct and timely geodata that can help in emergency cases; especially in support decision making in emergency and risk management. In particular, issues related to geodatabase design and visualization of a variety of geodata available play a key role when it comes to efficient data deployment and usability. To this end, a significant part of this research will be devoted to develop a concept for a geodatabase design and dataset management that helps assessing a disaster risk through a potential provision of data needed. Based on this consideration, the proposed concept is to create multi-disciplinary integrated geodatabases as well as an easy-to-use graphical user interface to access the obtained data. To address this concept, hard- and software solutions are being developed through the joint research project ANKommEn and its extension ANKommEn2. In those projects two automated unmanned systems, that is an aerial UAV (Unmanned Aerial Vehicle) and a ground based UGV (Unmanned Ground Vehicle), are being developed to provide up-to-date information of rescue scenarios. Within this paper, highlights about the two project parts will be briefly presented, and then the current state of the art in geospatial database management, followed by focusing on Postgres-based database management connected with QGIS, and finally current results like a Web Map Service will be discussed.</p>
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VARDANEGA, Paul J., Jamie J. CRISPIN, Charlotte E. L. GILDER, Elia VOYAGAKI, Casey J. SHEPHEARD, and Elizabeth A. HOLCOMBE. "Geodatabases to improve geotechnical design and modelling." ce/papers 2, no. 2-3 (June 2018): 401–6. http://dx.doi.org/10.1002/cepa.704.

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Sosa Reyes, Yessica Yamileth, and Jessica Villatoro. "Creación de una geodatabase de los archivos geodésicos de la dirección general de catastro y geografía, Honduras." Ciencias Espaciales 8, no. 1 (August 29, 2015): 509–19. http://dx.doi.org/10.5377/ce.v8i1.2064.

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En el marco de la práctica profesional de la maestría en Ordenamiento y Gestión del Territorio, se desarrolló la creación de una Geodatabase en la Dirección General de Catastro y Geografía (DGCG), la que sería el comienzo para una base de datos más segura y organizada, que permita una mejor distribución de datos geográficos generando para ello una cartografía confiable y altamente calificada. La creación de la Geodatabase permitió ordenar archivos de la elaboración digital de las hojas cartográficas, mapas departamentales, mapas municipales, mapa oficial del territorio de Honduras y otros que se generan desde el departamento de cartografía de la DGCG.Para la creación de la Geodatabase se utilizo una metodología la cual consistió en un proceso secuencial de pasos que incluyen: generación de File Geodatabases, Feature data set y Features Class, seguido de la migración de datos digitales en formato shapefile elaborados en el programa Arc View al programa Arc Map de ESRI, en donde se encontraron archivos desde Shapefiles, Tablas, Raster y otros compatibles a la estructura de datos nativa. Al mismo tiempo se realizó una comparación de la base de datos creada con la ya existente, con el fin de detectar posibles deficiencias o mejoras potenciales tanto de la geodatabase como de la manera de creación de los archivos digitales generados dentro de la DGCG.Se concluye que la creación de una geodatabase para la DGCG permitirá a corto, mediano y largo plazo un manejo adecuado de la información, mejor edición, actualización y administración de datos geográficos del departamento de Cartografía de la DGCG.Revista Ciencias Espaciales, Volumen 8, Número 1 Primavera, 2015; 509-519
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Alrajhi, Muhamad N., and Gottfried Konecny. "THE UPDATING OF GEOSPATIAL BASE DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3 (April 23, 2018): 3–5. http://dx.doi.org/10.5194/isprs-annals-iv-3-3-2018.

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Topopographic mapping issues concern the area coverage at different scales and their age. The age of the map is determined by the system of updating. The United Nations (UNGGIM) have attempted to track the global map coverage at various scale ranges, which has greatly improved in recent decades. However the poor state of updating of base maps is still a global problem. In Saudi Arabia large scale mapping is carried out for all urban, suburban and rural areas by aerial surveys. Updating is carried out by remapping every 5 to 10 years. Due to the rapid urban development this is not satisfactory, but faster update methods are forseen by use of high resolution satellite imagery and the improvement of object oriented geodatabase structures, which will permit to utilize various survey technologies to update the photogrammetry established geodatabases. The longterm goal is to create an geodata infrastructure, which exists in Great Britain or Germany.
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Simpkin, Sarah. "Book Reviews." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 164 (March 30, 2020): 41–43. http://dx.doi.org/10.15353/acmla.n164.1721.

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Focus on Geodatabases in ArcGIS Pro by David W. Allen. Reviewed by Barbara Znamirowski. GIS for Science: Applying Mapping and Spatial Analytics by Dawn Wright and Christian Harder (editors). Reviewed by Martin Chandler.
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Дисертації з теми "Geodatabases"

1

Gallup, Douglas J. "Floodplain and Flood Probability Mapping Using Geodatabases." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd736.pdf.

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Castle, Eric E. "Geodatabases in design : a floodplain analysis of Little Kitten Creek." Thesis, Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/327.

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Warnest, Mathew. "A collaboration model for national spatial data infrastructure in federated countries." Connect to thesis, 2005. http://repository.unimelb.edu.au/10187/1518.

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Spatial information is increasingly acknowledged as a national resource essential for sustainable development. Spatial Data Infrastructure (SDI) is part of the basic infrastructure that needs to be efficiently coordinated and managed in the interests of the nation. However, there is no framework or adequate knowledge available for users, providers and administrators of SDI to collaborate effectively to build National SDI. In countries that are a federation of states, administration is dispersed across multiple tiers of government. The system of governance and constitution in a federated country makes the coordination of spatial activities in the national interest complex. (For complete abstract open document)
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4

Brundage, Robert. "Implementing an archival GIS template utilizing ARCMAP GIS software and the personal geodatabase a thesis presented to the Department of Geology and Geography in candidacy for the degree of master of science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2006. http://www.nwmissouri.edu/library/theses/BrundageRobert/index.htm.

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Thesis (M.S.)--Northwest Missouri State University, 2006.
The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on February 13, 2008) Includes bibliographical references.
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Songer, Lynn Christine. "Comparative impacts of Web-based GIS on student content knowledge, geography skills, and self-efficacy in introductory human geography /." view abstract or download file of text, 2007. http://proquest.umi.com/pqdweb?did=1421613491&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2007.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 217-229). Also available for download via the World Wide Web; free to University of Oregon users.
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Harper, Erik. "Open-source technologies in web-based GIS and mapping a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2006. http://www.nwmissouri.edu/library/theses/HarperErik/index.htm.

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Анотація:
Thesis (M.S.)--Northwest Missouri State University, 2006.
The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on January 25, 2008) Includes bibliographical references.
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Royal, Kevin. "Evaluating and comparing digital geospatial publishing tools a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2009. http://www.nwmissouri.edu/library/theses/RoyalKevin/index.htm.

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Thesis (M.S.)--Northwest Missouri State University, 2009.
The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on June 15, 2009) Includes bibliographical references.
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8

Bowles, Doug Eaton Peter James. "Geographic information systems-based analysis of metropolitan development, decline, and recovery." Diss., UMK access, 2005.

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Thesis (Ph. D.)--Dept. of Economics and Dept. of Sociology/Criminal Justice & Criminology. University of Missouri--Kansas City, 2005.
"A dissertation in economics and social science." Advisor: Peter J. Eaton. Typescript. Vita. Title from "catalog record" of the print edition Description based on contents viewed March 12, 2007. Includes bibliographical references (leaves 301-324). Online version of the print edition.
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9

McDougall, Kevin. "A local-State government spatial data sharing partnership model to facilitate SDI development /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00002782.

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Thesis (Ph.D.)--University of Melbourne, Dept. of Geomatics, Faculty of Engineering, 2006.
Author's name on spine: K. McDougall. Spine title: Local-State government SDI partnership model. Includes bibliographical references (p. 233-251).
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Loenen, B. van. "Developing geographic information infrastructures the role of information policies /." Delft : DUP Science, 2006. http://catalog.hathitrust.org/api/volumes/oclc/85357223.html.

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Книги з теми "Geodatabases"

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1955-, Gambosi G., Scholl Michel O. 1943-, and Six H. W. 1944-, eds. Geographic database management systems: Workshop proceedings, Capri, Italy, May 1991. Berlin: Springer-Verlag, 1992.

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2

Bureau, Montana Solid and Hazardous Waste. Clark Fork data system reference. [Helena, MT]: [Solid & Hazardous Waste Bureau, Dept. of Health and Environmental Sciences], 1992.

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3

J, Miller Harvey, and Han Jiawei, eds. Geographic data mining and knowledge discovery. 2nd ed. Boca Raton, FL: Chapman & Hall/CRC, 2009.

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4

Bastiaan, Van Loenen, Kok B. C, and Global Spatial Data Infrastructure (Organization). Conference, eds. Spatial data infrastructure and policy development in Europe and the United States. Delft, Netherlands: DUP Science, 2004.

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5

Landkreistag, Deutscher. Geodaten sinnvoll nutzen. Berlin: Deutscher Landkreistag, 2009.

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6

J, Miller Harvey, and Han Jiawei, eds. Geographic data mining and knowledge discovery. London: Taylor & Francis, 2001.

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7

Koch, Andreas. Semantische Integration von zweidimensionalen GIS-Daten und digitalen Geländemodellen. Hannover: Universität Hannover, Fachrichtung Geodäsie und Geoinformatik, 2006.

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8

Guo jia yao gan zhong xin (China). Di qiu kong jian xin xi ke xue ji shu jin zhan =: Advance in geo-spatial information science and technology. Beijing Shi: Dian zi gong ye chu ban she, 2009.

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9

Sinha, A. Krishna. Societal challenges and geoinformatics. Boulder, Colo: Geological Society of America, 2011.

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10

J. W. N. van Smaalen. Automated aggregation of geographic objects: A new approach to the conceptual generalisation of geographic databases. Delft: Nederlandse Commissie voor Geodesie, 2003.

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Частини книг з теми "Geodatabases"

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Sester, Monika. "Abstraction of Geodatabases." In Encyclopedia of GIS, 1–5. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_13-2.

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Sester, Monika. "Abstraction of Geodatabases." In Encyclopedia of GIS, 35–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_13.

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Sester, Monika. "Abstraction of GeoDatabases." In Encyclopedia of GIS, 7–10. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_13.

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Tobin, Patrick C., Kyle J. Haynes, and Allan L. Carroll. "Spatial Dynamics of Forest Insects." In Forest Entomology and Pathology, 647–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11553-0_18.

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AbstractThe study of the spatial dynamics of forest insects has a long history, and many forest insect species have served as model systems for studying conceptual processes of population biology and ecology. Because forest insect population data were often collected from georeferenced locations, even prior to the development of geodatabases and spatial statistical software, they provide an important historical resource for understanding insect population dynamics and changes in those dynamics through time. Advances in spatial statistics have furthermore enabled forest entomologists to consider forest insect dynamics over multiple spatial and temporal scales, and vast spatial and temporal extents. In this chapter, we first introduce the importance of scaling in studies of spatial dynamics, and review spatial pattern formation in forest insect populations. We conclude the chapter by addressing metapopulation dynamics, and the concept of spatial synchrony in outbreaking forest insects.
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Bajjali, William. "Geodatabase." In Springer Textbooks in Earth Sciences, Geography and Environment, 103–16. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-61158-7_7.

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Vardanega, P. J., C. E. L. Gilder, R. De Risi, F. De Luca, M. J. Werner, and R. M. Pokhrel. "Developing geodatabases in data-scarce regions: A case study of the Kathmandu Valley, Nepal." In Smart Geotechnics for Smart Societies, 1265–70. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003299127-182.

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Bajjali, William. "Introduction to Geodatabase." In Springer Textbooks in Earth Sciences, Geography and Environment, 81–95. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-42227-0_5.

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D’Ascola, Filippo, Maria Luisa Cassese, Nicola Lugeri, Valeria Pesarino, and Andrea Salmeri. "The ISPRA geodatabase for monitoring and analysis of the state of the italian coasts: an example of its application to the Rocchette - Castiglione della Pescaia coast line." In Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”, 27–37. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/979-12-215-0030-1.03.

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The Italian Institute for Environmental Protection and Research (ISPRA) has developed the Geodatabase “Linea di Costa”. that allows to perform spatial analysis on the recorded geometrical elements, and to provide a periodic update on the evolution of the coastline. The main objective of this work is to highlight the potential of a continuously updated geodatabase over time in monitoring and analysing the state of the coasts at a local level, presenting one of several case studies carried out by ISPRA, following specific requests related to local coastal dynamics received from the stakeholders.
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Baglioni, Miriam, Maria Vittoria Masserotti, Chiara Renso, and Laura Spinsanti. "Improving Geodatabase Semantic Querying Exploiting Ontologies." In GeoSpatial Semantics, 16–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20630-6_2.

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Liu, Xiaosheng, and Feihui Hu. "The Graphic Data Conversion from AutoCAD to GeoDatabase." In Advances in Computer Science, Environment, Ecoinformatics, and Education, 137–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23321-0_21.

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Тези доповідей конференцій з теми "Geodatabases"

1

Dobesova, Zdena. "VISUAL LANGUAGE FOR GEODATABASE DESIGN." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s08.040.

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Cary, Ariel, Yaacov Yesha, Malek Adjouadi, and Naphtali Rishe. "Leveraging Cloud Computing in Geodatabase Management." In 2010 IEEE International Conference on Granular Computing (GrC-2010). IEEE, 2010. http://dx.doi.org/10.1109/grc.2010.163.

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Zhu, Hongmei, and Yu Luo. "Spatial-temporal database model based on geodatabase." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838541.

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Kopper, Martha, and Ty Johnson. "ARKANSAS LANDSLIDE GEODATABASE DEVELOPMENT AND CASE HISTORY." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-279610.

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Fusina, Robert A., John C. Fry, C. Reid Nichols, Charles M. Bachmann, Rong-Rong Li, Jon Sellars, Chris Parrish, et al. "Geodatabase development to support hyperspectral imagery exploitation." In IGARSS 2010 - 2010 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2010. http://dx.doi.org/10.1109/igarss.2010.5654182.

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Mumtaz, S. A. "Integrating terrestrial laser scanning models into 3d Geodatabase." In 2008 2nd International Conference on Advances in Space Technologies (ICAST). IEEE, 2008. http://dx.doi.org/10.1109/icast.2008.4747699.

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7

Elias, Birgit. "Pedestrian Navigation - Creating a tailored geodatabase for routing." In 2007 4th Workshop on Positioning, Navigation and Communication. IEEE, 2007. http://dx.doi.org/10.1109/wpnc.2007.353611.

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8

Foy, Clifton, and Chad Heinzel. "DEVELOPING A GEODATABASE OF MAQUOKETA’S (IOWA) QUATERNARY GEOLOGY." In 52nd Annual North-Central GSA Section Meeting - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018nc-313199.

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Engle, Zachary T., Stephen B. DeLong, Julie K. Bartley, Dylan Blumentritt, Andy J. Breckenridge, Stephanie S. Day, Karen B. Gran, et al. "TOWARDS DESIGN OF A LANDSLIDE INVENTORY GEODATABASE FOR MINNESOTA." In 54th Annual GSA North-Central Section Meeting - 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020nc-348185.

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Yakovlev, Petr V. "MONTANA'S 1:100K SEAMLESS GEODATABASE: PROGRESS, METHODS, AND DERIVATIVES." In 115th Annual GSA Cordilleran Section Meeting - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019cd-329526.

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Звіти організацій з теми "Geodatabases"

1

Hruska, J., and T. Albert. World inventory of geodatabases. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193895.

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2

Below, M., C. Michel, M. Kearney, and C. Milloy. Ottawa harvested hydrogeological information geodatabase. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/299757.

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3

Campbell, P., E. Burke, and G. V. Sonnichsen. Grand Banks Scour Catalogue (GBSC) GeoDatabase. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/293618.

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4

Campbell, P., E. Burke, and G. V. Sonnichsen. Grand Banks Scour Catalogue (GBSC) GeoDatabase. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/293973.

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5

Gafurov, Z., S. Eltazarov, B. Akramov, K. Djumaboev, O. Anarbekov, and U. Solieva. Geodatabase and diagnostic atlas: Kashkadarya Province, Uzbekistan. International Water Management Institute (IWMI), 2018. http://dx.doi.org/10.5337/2018.217.

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Hussain, A., and T. Baker. Tana River Basin, Kenya: geodatabase and mapping tool. User guide. International Water Management Institute (IWMI), 2016. http://dx.doi.org/10.5337/2016.210.

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7

Coleman, Andre M., Gary E. Johnson, Amy B. Borde, Heida L. Diefenderfer, Nichole K. Sather, Timothy E. Seiple, and John A. Serkowski. The Oncor Geodatabase for the Columbia Estuary Ecosystem Restoration Program: Annual Report, 2012. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1131379.

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8

Calhoun, L., J. C. White, C. W. Jefferson, J. Patterson, and V. Tschirhart. Integrated geodatabase study of the complexly deformed U-hosting Paleoproterozoic Amer Group, Nunavut. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2014. http://dx.doi.org/10.4095/293108.

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9

Boden, Taylor, and Andrew Rupke. Analytical Database of U.S. Bureau of Mines Mineral Land Assessments of Wilderness Study Areas in Utah. Utah Geological Survey, January 2022. http://dx.doi.org/10.34191/ofr-747.

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Анотація:
The accompanying database is a compilation of geochemical analytical data from Mineral Land Assessments (MLAs) prepared by the U.S. Bureau of Mines. These mineral assessments cover Wilderness Study Areas in Utah and were prepared from 1982 through 1992. The analytical data is primarily from rock samples, but the database also includes some stream sediment and pan concentrate samples. The database includes over 4200 analytical records. Users of this database should be aware that the quality of the analyses may be variable. The data are presented “as is”; potential low-quality data were not filtered out. The database is in spreadsheet (Microsoft Excel and csv) and geodatabase formats. The geodatabase version has fewer records (~3840) than the spreadsheet version because some of the analytical data had no associated location information. Figure 1 shows Wilderness Study Areas in Utah and locations of samples in the geodatabase.
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Leis, Sherry. Network scale fire atlas supports land management in national parks. Edited by Tani Hubbard. National Park Service, November 2022. http://dx.doi.org/10.36967/2295133.

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Long-term vegetation monitoring allows land managers to make treatment decisions based on data. Fire management is a commonly used approach to managing grasslands, but fire history in grasslands is challenging to record because of spatial and temporal scales and rapid ecosystem recovery. We built a seven-park fire occurrence record (fire atlas) using a geodatabase tool. Multiple sources for fire perimeters were vetted using a verification and editing process. The fire occurrence geodatabase was then used as the basis for an analysis that used buffering around monitoring site locations to determine burned status through time. The resulting products were beneficial for communicating with managers, administrators, and fire staff. Planning and education projects were also important uses of the information. Future efforts will focus on improving attribute consistency and relating vegetation trends to fire occurrence.
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