Relevant bibliographies by topics / Geospatial data quality

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geospatial data quality'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Geospatial data quality"

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Plante, Katherine, and Marc Gervais. "Geospatial Data Quality Guarantee." GEOMATICA 69, no. 1 (2015): 29–48. http://dx.doi.org/10.5623/cig2015-102.

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Geospatial data has become ubiquitous in our society and abundantly used by public institutions fulfilling their mandates as well as citizen managing their day-to-day affairs. But the dissemination of geospatial data raises certain issues surrounding the nature of the contract involved along with the quality guarantees that may be applicable. Should this data be treated as a tangible or intangible asset? Would the standard guarantees defined by our legislation apply if it were considered intangible? What about the specific characteristics of geospatial data? How simple would it be to guarantee
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Zhao, H. T., W. C. Gao, C. F. Jing, and X. F. Li. "A FULL LIFE DATA QUALITY WORKFLOW RESEARCH AND PROJECT PRACTICE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 327–32. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-327-2021.

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Abstract. With the development of technology and geospatial equipment, more and more work, particularly covering a big area survey and mapping work, are conducted with different worker and equipment, or heterogeneous time variation. With the traditional data quality focus on the geospatial data quality itself, which is not include the work files and organization. Facing the heterogeneous characteristics of geospatial data and work organization, a full life data quality workflow was proposed to manage and control geospatial data quality. The proposed workflow is extended to include the file pre
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Kin, Danylo, and Nadiia Lazorenko-Hevel. "The method for the quality evaluation of open geospatial data for creation and updating of datasets for National Spatial Data Infrastructure in Ukraine." Polish Cartographical Review 53, no. 1 (2021): 13–20. http://dx.doi.org/10.2478/pcr-2021-0002.

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Abstract The purpose of the article is to present the research on method of the quality evaluation of published open geospatial data and its implementation in Ukraine. The method of the quality evaluation of open geospatial data considers the international standard ISO 19157 “Geographic information. Data quality”. This method is to determine the number of points or levels (maximum – 5). The research was carried out for the evaluation of open geoinformation resources for production of geospatial datasets, as defined in the Ukrainian Law on NSDI. The authors evaluated the quality of 142 open geo
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Quarati, Alfonso, Monica De Martino, and Sergio Rosim. "Geospatial Open Data Usage and Metadata Quality." ISPRS International Journal of Geo-Information 10, no. 1 (2021): 30. http://dx.doi.org/10.3390/ijgi10010030.

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The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provid
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Koh, Keumseok, Ayaz Hyder, Yogita Karale, and Maged N. Kamel Boulos. "Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health." Remote Sensing 14, no. 13 (2022): 2996. http://dx.doi.org/10.3390/rs14132996.

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Background: Often combined with other traditional and non-traditional types of data, geospatial sensing data have a crucial role in public health studies. We conducted a systematic narrative review to broaden our understanding of the usage of big geospatial sensing, ancillary data, and related spatial data infrastructures in public health studies. Methods: English-written, original research articles published during the last ten years were examined using three leading bibliographic databases (i.e., PubMed, Scopus, and Web of Science) in April 2022. Study quality was assessed by following well-
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Al-bakri, Maythm. "Ten Years of OpenStreetMap Project: Have We Addressed Data Quality Appropriately? – Review Paper." Journal of Engineering 21, no. 4 (2015): 158–75. http://dx.doi.org/10.31026/j.eng.2015.04.09.

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It has increasingly been recognised that the future developments in geospatial data handling will centre on geospatial data on the web: Volunteered Geographic Information (VGI). The evaluation of VGI data quality, including positional and shape similarity, has become a recurrent subject in the scientific literature in the last ten years. The OpenStreetMap (OSM) project is the most popular one of the leading platforms of VGI datasets. It is an online geospatial database to produce and supply free editable geospatial datasets for a worldwide. The goal of this paper is to present a comprehensive
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Cooper, Antony K., Serena Coetzee, Marinet Blom, Maroale Chauke, and Vutomi Ndlovu. "Geospatial data quality training for the South African Spatial Data Infrastructure – Lessons learnt from training geospatial data custodians." South African Journal of Geomatics 14, no. 1 (2025): 122–40. https://doi.org/10.4314/sajg.v14i1.8.

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Standards play an important role in achieving the objectives of a spatial data infrastructure. However, standards can be difficult to understand and implement for those with limited exposure to them. The South African Spatial Data Infrastructure (SASDI) aims to facilitate the capture, management, maintenance, integration, distribution and use of spatial information. To decide whether a SASDI data set is fit for a specific purpose, users need information about its quality. SANS 19157:2014, Geographic information – Data quality, specifies how the quality of geospatial data can be described and a
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de Rijcke, Izaak, and Megan Mills. "Free Geospatial Data and Quality: Implications for Users, Contributors and Distributors." GEOMATICA 69, no. 1 (2015): 49–63. http://dx.doi.org/10.5623/cig2015-103.

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Geospatial data is widely available and used by a broad range of users for a wide range of purposes—from government planning for service delivery to directions on how to get to a coffee shop. What, if any, duties and standards of care are owed to users of geospatial data by the provider? This is a question complicated by a growing trend toward volunteer geographic information (or VGI) that is itself part of the broader trend of user generated content whereby the users of data contribute geographic data and create a wide range of value-added products based on available data. This paper is a com
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Santos, J., R. Teodoro, N. Mira, and V. B. Mendes. "GEOSPATIAL DATA QUALITY OF THE SERVIR CORS NETWORK." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 20, 2015): 285–90. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-285-2015.

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The SERVIR Continuous Operation Reference Stations (CORS) network was implemented in 2006 to facilitate land surveying with Global Navigation Satellite Systems (GNSS) positioning techniques. Nowadays, the network covers all Portuguese mainland. The SERVIR data is provided to many users, such as surveyors, universities (for education and research purposes) and companies that deal with geographic information. By middle 2012, there was a significant change in the network accessing paradigm, the most important of all being the increase in the responsibility of managing the network to guarantee a p
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Basiri, Anahid, Muki Haklay, Giles Foody, and Peter Mooney. "Crowdsourced geospatial data quality: challenges and future directions." International Journal of Geographical Information Science 33, no. 8 (2019): 1588–93. http://dx.doi.org/10.1080/13658816.2019.1593422.

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Dissertations / Theses on the topic "Geospatial data quality"

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Lush, Victoria. "Visualisation of quality information for geospatial and remote sensing data : providing the GIS community with the decision support tools for geospatial dataset quality evaluation." Thesis, Aston University, 2015. http://publications.aston.ac.uk/25795/.

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The evaluation of geospatial data quality and trustworthiness presents a major challenge to geospatial data users when making a dataset selection decision. The research presented here therefore focused on defining and developing a GEO label – a decision support mechanism to assist data users in efficient and effective geospatial dataset selection on the basis of quality, trustworthiness and fitness for use. This thesis thus presents six phases of research and development conducted to: (a) identify the informational aspects upon which users rely when assessing geospatial dataset quality and tru
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Mohamed-Ghouse, Mohamed Zaffar Sadiq. "Modeling spatial variation of data quality in databases /." Connect to thesis, 2008. http://repository.unimelb.edu.au/10187/3544.

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Santana, Abel. "Geospatial sensor integration| Design of an automated collection, management and visualization system for water quality data." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10007418.

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<p> Water resources have become an increasingly important topic in the world of resource management. Researchers are constantly looking for ways to make the process of data collection, analyzation and visualization more efficient. The current methods involve a multi-step process that is cumbersome and require a lot of man-hours from start to finish. The cost of water quality sensors is also an issue for researchers. Many sensors on the market today range from the $1,000 to $10,000 range making it difficult for small research firms and non profits to conduct water quality monitoring projects. T
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Rathnayaka, Mudiyanselage Udara Madushantha Somarathna. "Data quality analysis in a GIS environment of OpenStreetMap geodatabase for Sri Lanka." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The purpose of the present study is to analyze the data quality of OpenStreetMap geodatabase in a GIS environment; the case of study is a region of Sri Lanka. OpenStreetMap (OSM) is one of the most well-known crowd-sourced products, providing a global map base thanks to the mapping activity carried out by volunteers all around the world. As the quality of collected information remains a significant concern for the geospatial information community and in geospatial data management, a qualitative and quantitative assessment of OSM data is of great importance, due to the large diffusion and a
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Santos, Alex da Silva. "Geoestatística aplicada na avaliação da qualidade de dados geoespaciais." Universidade Federal de Viçosa, 2013. http://locus.ufv.br/handle/123456789/3816.

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Made available in DSpace on 2015-03-26T13:28:26Z (GMT). No. of bitstreams: 1 texto completo.pdf: 3330909 bytes, checksum: 83d789ab10722b6666725f8fd263d49e (MD5) Previous issue date: 2013-10-07<br>Fundação Instituto Brasileiro de Geografia e Estatística<br>In the process of production cartographic is natural the pursuit of quality spatial dataset. Throughout time technological evolution provided at the professionals in the area a constant growth in this production and in demand of these geospatial information by the users. However, to support this evolution without losing the qualification of
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Saponaro, Mirko. "From low-cost to high-quality: a foss4G framework of uav photogrammetric processing for geospatial data extraction." Doctoral thesis, 2022. http://hdl.handle.net/11589/232478.

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Uno degli argomenti delle scienze della Terra più incoraggiati dalla rivoluzione dei Big Data è legato alle tecnologie e alle tecniche di Osservazione della Terra. I recenti sviluppi nel Telerilevamento e nelle tecniche di calcolo hanno innescato una crescita esplosiva di questi dati. Nuovi sistemi satellitari, aerei e terrestri caratterizzati da un'alta risoluzione spaziale, temporale e radiometrica sono in continua evoluzione, e le grandi masse di dati confluiscono così nei Big Geospatial Data, orientati ad aiutare in modo intersettoriale molteplici industrie e il mondo accademico con un nuo
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Richards, Larissa Christine. "Chemometric analysis of full scan direct mass spectrometry data for the discrimination and source apportionment of atmospheric volatile organic compounds measured from a moving vehicle." Thesis, 2021. http://hdl.handle.net/1828/13333.

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Anthropogenic emissions into the troposphere can impact air quality, leading to poorer health outcomes in the affected areas. Volatile organic compounds (VOCs) are a group of chemical compounds, including some which are toxic, that are precursors in the formation of ground-level ozone and secondary organic aerosols. VOCs have a variety of sources, and the distribution of atmospheric VOCs differs significantly over time and space. Historically, the large number of chemical species present at low concentrations (parts-per-trillion to parts-per-billion by volume) have made VOCs difficult to measu
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Books on the topic "Geospatial data quality"

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Baker, Nancy T. National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008-13. U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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Book chapters on the topic "Geospatial data quality"

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Pomfret, Kevin D. "Data Quality and Liability Considerations." In Geospatial Law, Policy and Ethics. Routledge, 2024. http://dx.doi.org/10.4324/9781003329961-4.

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Galarus, Douglas, Ian Turnbull, Sean Campbell, Jeremiah Pearce, and Leann Koon. "Spatio-Temporal Data Quality: Experience from Provision of DOT Traveler Information." In Handbook of Big Geospatial Data. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55462-0_13.

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Weiyu, Liu, Xu Yuanyuan, Sun Tong, and Wang Jifei. "Air Quality Dynamics and Urban Heat Island Effects During COVID-19." In Geospatial Data Analytics and Urban Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7649-9_3.

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Homburg, Timo, and Frank Boochs. "Situation-Dependent Data Quality Analysis for Geospatial Data Using Semantic Technologies." In Business Information Systems Workshops. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04849-5_49.

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Hu, Zhiyong, Johan Liebens, and K. Ranga Rao. "Merging Satellite Measurement with Ground-Based Air Quality Monitoring Data to Assess Health Effects of Fine Particulate Matter Pollution." In Geospatial Analysis of Environmental Health. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0329-2_20.

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Quinn, Sterling, and Floyd Bull. "Understanding Threats to Crowdsourced Geographic Data Quality Through a Study of OpenStreetMap Contributor Bans." In Geospatial Information System Use in Public Organizations. Routledge, 2019. http://dx.doi.org/10.4324/9780429272851-6.

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Talhofer, Václav, Šárka Hošková-Mayerová, and Alois Hofmann. "The Influence of Quality of Geospatial Data on the Decision-Making Processes." In Quality of Spatial Data in Command and Control System. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94562-0_6.

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Dror, Talia, Yerach Doytsher, and Sagi Dalyot. "Investigating the Use of Historical Node Location Data as a Source to Improve OpenStreetMap Position Quality." In Open Source Geospatial Science for Urban Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58232-6_4.

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Matyas, Sebastian, Peter Kiefer, Christoph Schlieder, and Sara Kleyer. "Wisdom about the Crowd: Assuring Geospatial Data Quality Collected in Location-Based Games." In Entertainment Computing – ICEC 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24500-8_36.

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Mohamed-Ghouse, Zaffar Sadiq, Cheryl Desha, and Luis Perez-Mora. "Digital Earth in Australia." In Manual of Digital Earth. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9915-3_21.

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Abstract Australia must overcome a number of challenges to meet the needs of our growing population in a time of increased climate variability. Fortunately, we have unprecedented access to data about our land and the built environment that is internationally regarded for its quality. Over the last two decades Australia has risen to the forefront in developing and implementing Digital Earth concepts, with several key national initiatives formalising our digital geospatial journey in digital globes, open data access and ensuring data quality. In particular and in part driven by a lack of substan
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Conference papers on the topic "Geospatial data quality"

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Saye, Justin, Farzaan Naeem, Paul Brown, et al. "Factors affecting ATR confidence: image quality, scene complexity, and training data." In Geospatial Informatics XV, edited by Kannappan Palaniappan and Gunasekaran Seetharaman. SPIE, 2025. https://doi.org/10.1117/12.3053935.

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Thakkar, Snehal, Craig A. Knoblock, and Jose Luis Ambite. "Quality-driven geospatial data integration." In the 15th annual ACM international symposium. ACM Press, 2007. http://dx.doi.org/10.1145/1341012.1341034.

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Wang, F., and W. Reinhardt. "Spatial data quality concerns for field data collection in mobile GIS." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712733.

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Sun, Qinghui, Tianhe Chi, and Dawei Zhong. "Application of the attribute recognition method for the evaluation of spatial data quality." In Geoinformatics 2006: Geospatial Information Science, edited by Jianya Gong and Jingxiong Zhang. SPIE, 2006. http://dx.doi.org/10.1117/12.712959.

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Li, Jingliang, Yixuan Zhu, and Zhenfeng Shao. "A framework for quality control strategy of the three-dimensional reconstruction." In MIPPR 2005 Geospatial Information, Data Mining, and Applications, edited by Jianya Gong, Qing Zhu, Yaolin Liu, and Shuliang Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.650267.

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Qiu, Zhengjun, Lei Feng, Weimin Li, and Yong He. "Application of near infrared spectroscopy in nondestructive quality inspection of agricultural products." In MIPPR 2005 Geospatial Information, Data Mining, and Applications, edited by Jianya Gong, Qing Zhu, Yaolin Liu, and Shuliang Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.651581.

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Chen, Cui-hua, Bin-bin He, and Shi-jun Ni. "A framework for uncertain spatial data mining and its application to environmental geochemistry quality assessment." In MIPPR 2005 Geospatial Information, Data Mining, and Applications, edited by Jianya Gong, Qing Zhu, Yaolin Liu, and Shuliang Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.650381.

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"The Impact of Contributor Confidence, Expertise and Distance on the Crowdsourced Land Cover Data Quality." In GI_Forum 2014 - Geospatial Innovation for Society. Austrian Academy of Sciences Press, 2015. http://dx.doi.org/10.1553/giscience2014s309.

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Su, Ying, Jie Peng, and Zhanming Jin. "Geospatial Data Quality Self-Assuring Model for Disaster Management System." In 2009 WRI Global Congress on Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/gcis.2009.450.

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Malaverri, Joana E. G., Claudia Bauzer Medeiros, and Rubens Camargo Lamparelli. "A provenance approach to assess the quality of geospatial data." In the 27th Annual ACM Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2232116.

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Reports on the topic "Geospatial data quality"

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Ruby, Jeffrey, Robert Fischer, Richard Massaro, et al. Optimization strategies for geospatial data on end-user devices. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49359.

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The ability to quickly disseminate geospatial data across all echelons, particularly those at the tactical edge, is critical to meeting threats described by the Multi-Domain Operations doctrine. The US Army Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL), is researching the optimization of the formats, data models, file sizes, and quality of geospatial products to be exploited by end-user devices (EUDs). This report describes a processing methodology comprising custom software and open-source tools to optimize Army Geospatial Enterprise Standard Sharable Geo
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Ruby, Jeffrey, Robert Fischer, Richard Massaro, et al. Optimization strategies for geospatial data on end-user devices. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49366.

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The ability to quickly disseminate geospatial data across all echelons, particularly those at the tactical edge, is critical to meeting threats described by the Multi-Domain Operations doctrine. The US Army Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL), is researching the optimization of the formats, data models, file sizes, and quality of geospatial products to be exploited by end-user devices (EUDs). This report describes a processing methodology comprising custom software and open-source tools to optimize Army Geospatial Enterprise Standard Sharable Geo
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Johnson, Eric M., Robert Urquhart, and Maggie O'Neil. The Importance of Geospatial Data to Labor Market Information. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0017.1806.

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School-to-work transition data are an important component of labor market information systems (LMIS). Policy makers, researchers, and education providers benefit from knowing how long it takes work-seekers to find employment, how and where they search for employment, the quality of employment obtained, and how steady it is over time. In less-developed countries, these data are poorly collected, or not collected at all, a situation the International Labour Organization and other donors have attempted to change. However, LMIS reform efforts typically miss a critical part of the picture—the geosp
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Rice, Matthew T., Kevin M. Curtin, Dieter Pfoser, et al. Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1001943.

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Lalovic, Ivan, Fernando Miralles-Wilhelm, Philipp Grötsch, et al. Remote Sensing Analysis of Water Quality in Four Waterbodies of Latin America. Edited by Eveline Vasquez and José Rosales. Banco Interamericano de Desarrollo, 2024. http://dx.doi.org/10.18235/0005498.

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The pilot study introduces remote sensing methods for monitoring water quality to measure, understand, and manage impacts on vulnerable water bodies that are part of the IDBs Water and Sanitation portfolio. The water bodies selected for this study include: Guanabara Bay in Río de Janeiro, Brazil; Lake Titicaca in Bolivia and Peru; Ypacaraí Lake near Asunción, Paraguay; and the Río Reconquista Basin near Buenos Aires, Argentina. This study focuses on the development and implementation of an automated remote sensing data processing chain enabling detection of phytoplankton abundance (chlorophyll
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Copeland, Ronald, Michael Hartman, and James Lewis. Evaluation of structural and operational alternatives to optimize the distribution of water and sediment in the Passes of the Mississippi River. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47402.

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Mississippi River shoaling and dredging processes in the vicinity of Head of Passes and in Southwest Pass were investigated. Existing rates of deposition and dredging were determined using near-daily eHydro bathymetric surveys, National Dredging Quality Management dredge operating data, and geospatial processing steps developed for this study. These surveys provide a means to characterize the highly dynamic and variable sedimentation patterns observed in the navigation channel. The HEC-6T one-dimensional numerical sedimentation model was used to evaluate possible modifications to the distribut
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Mathew, Jijo K., Haydn Malackowski, Yerassyl Koshan, et al. Development of Latitude/Longitude (and Route/Milepost) Model for Positioning Traffic Management Cameras. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317720.

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Traffic Incident Management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring the safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile-marker based with cameras that operate in a Pan-Tilt-Zoom (PTZ) coordinate system relies on dispatchers having detailed knowledge of hundreds of cameras an
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Burkholder, JoAnn, Ellen Allen, Carol Kinder, Stacie Flood, and Wendy Wright. Natural resource condition assessment: Cape Lookout National Seashore. National Park Service, 2017. https://doi.org/10.36967/2240259.

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The two major goals of this report were to (i) inventory the natural resources of Cape Lookout National Seashore (CALO, or the seashore, or Cape Lookout NS) along the Outer Banks of North Carolina, including synthesis of available information and collection of geospatial data layers and maps; and (ii) develop a set of indicators, quantitative insofar as possible, for natural resource conditions that can be tracked over time. The natural resources that were evaluated included climate, air quality, geology and soils, groundwater, surface water, terrestrial, wetland, and aquatic biota, and specie
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Cotten, David, Brandon Adams, Nancy O'Hare, et al. Vegetation mapping at Horseshoe Bend National Military Park: Photointerpretation key and final vegetation map. National Park Service, 2019. https://doi.org/10.36967/2267065.

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The University of Georgia Department of Geography’s Center for Geospatial Research (CGR), with the support of the National Park Service (NPS) Vegetation Mapping Inventory (VMI) Program, described and mapped vegetation at Horseshoe Bend National Military Park (HOBE). This mapping effort was accomplished through collaboration with the NPS Southeast Coast Network (SECN), the North Carolina office of NatureServe (/Durham, N.C.), and Atkins North America, Inc. A final map of vegetation communities was created for Horseshoe Bend National Military Park (NMP) to the association level of the National V
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Geospatial data quality guide. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297536.

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