Thematische Bibliographien / Environmental health Data processing

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Environmental health Data processing“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 11. Februar 2022

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Zeitschriftenartikel zum Thema "Environmental health Data processing"

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Ivanov, Alexander, and Alexander Platov. "Environmental monitoring based on data processing of Internet of Things." E3S Web of Conferences 136 (2019): 01041. http://dx.doi.org/10.1051/e3sconf/201913601041.

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The concept of online monitoring of the urban environment is proposed. It is based on the online processing of hydrometeorological and traffic information received through the Internet of Things. The traditional approach of the Internet of things includes transfer and storage of huge arrays of measurements in digital form. This concept of online monitoring is primarily an analysis, evaluation of the results of processing information received from wireless networks. The concept was implemented at Nizhny Novgorod State University of Architecture and Civil Engineering in several services includin
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Cummings, Stuart W. "Distributed Databases for Clinical Data Processing." Drug Information Journal 27, no. 4 (October 1993): 949–56. http://dx.doi.org/10.1177/009286159302700403.

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Pimazzoni, Monica. "Global Data Management: A Winning Approach to Clinical Data Processing." Drug Information Journal 32, no. 2 (April 1998): 569–71. http://dx.doi.org/10.1177/009286159803200230.

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Woods, Valerie. "Musculoskeletal disorders and visual strain in intensive data processing workers." Occupational Medicine 55, no. 2 (March 1, 2005): 121–27. http://dx.doi.org/10.1093/occmed/kqi029.

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Jia, Xiao Yu, and Tao Li. "Data Processing in Environmental Performance of Building Systems Applied in Residential Design." Advanced Materials Research 978 (June 2014): 145–48. http://dx.doi.org/10.4028/www.scientific.net/amr.978.145.

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In the face of the global energy and environment problems, our country carries out some measures toward energy-saving environmental protection route in the construction field, which requires architects must start from the overall design concept for the preliminary design, fully considering the benefits between the various elements of environmental performance of building system. Environmental performance of building systems involves building system, the indoor environment of regional environmental impact and influence on the earth's environment, is a complex system. This paper introduces in de
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Arisetty, Murty. "A Team-Based Approach to Clinical Data Processing." Drug Information Journal 19, no. 1 (January 1985): 81–84. http://dx.doi.org/10.1177/009286158501900113.

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Leighton, Charles C. "Clinical Data Processing in Retrospect and in Prospect." Drug Information Journal 20, no. 1 (January 1986): 7–15. http://dx.doi.org/10.1177/009286158602000103.

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Gillum, Terry L., Robert H. George, and Jack E. Leitmeyer. "An Autoencoder for Clinical and Regulatory Data Processing." Drug Information Journal 29, no. 1 (January 1995): 107–13. http://dx.doi.org/10.1177/009286159502900115.

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Hrzic, Rok, Timo Clemens, Daan Westra, and Helmut Brand. "Comparability in Cross-National Health Research Using Insurance Claims Data: The Cases of Germany and The Netherlands." Das Gesundheitswesen 82, S 01 (November 19, 2019): S83—S90. http://dx.doi.org/10.1055/a-1005-6792.

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Abstract Objective Comparison is a key method in learning about what works in health and healthcare. We discuss the importance of comparability in cross-national health research using health insurance claims data, develop a framework to systematically asses these threats and apply it to the German (DaTraV) and Dutch (Vektis) national-level insurance claims datasets. Methods We propose a framework of threats to the comparability of health insurance claims databases, which includes three domains: (1) representation of populations compared, (2) data sources and data processing and (3) database co
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Kraft, Robin, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, and Rüdiger Pryss. "Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform." Sensors 20, no. 12 (June 18, 2020): 3456. http://dx.doi.org/10.3390/s20123456.

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Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data, which leads to many new opportunities. In particular, mobile crowdsensing techniques can be used to capture phenomena of common interest. Especially valuable insights can be gained if the collected data are additionally related to the time and place of the measurements. However, many technical solutions still use monolithic backends that are no
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Dissertationen zum Thema "Environmental health Data processing"

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Wilmot, Peter Nicholas. "Modelling cooling tower risk for Legionnaires' Disease using Bayesian Networks and Geographic Information Systems." Title page, contents and conclusion only, 1999. http://web4.library.adelaide.edu.au/theses/09SIS.M/09sismw744.pdf.

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Includes bibliographical references (leaves 115-120) Establishes a Bayesian Belief Network (BBN) to model uncertainty of aerosols released from cooling towers and Geographic Information Systems (GIS) to create a wind dispersal model and identify potential cooling towers as the source of infection. Demonstrates the use of GIS and BBN in environmental epidemiology and the power of spatial information in the area of health.
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Chitondo, Pepukayi David Junior. "Data policies for big health data and personal health data." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2479.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>Health information policies are constantly becoming a key feature in directing information usage in healthcare. After the passing of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 and the Affordable Care Act (ACA) passed in 2010, in the United States, there has been an increase in health systems innovations. Coupling this health systems hype is the current buzz concept in Information Technology, „Big data‟. The prospects of big data are full of potential, eve
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Yang, Bin, and 杨彬. "A novel framework for binning environmental genomic fragments." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45789344.

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Gigandet, Katherine M. "Processing and Interpretation of Illinois Basin Seismic Reflection Data." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401309913.

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Perovich, Laura J. (Laura Jones). "Data Experiences : novel interfaces for data engagement using environmental health data." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95612.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 71-81).<br>For the past twenty years, the data visualization movement has reworked the way we engage with information. It has brought fresh excitement to researchers and reached broad audiences. But what comes next for data? I seek to create example "Data Experiences" that will contribute to developing new spaces of information engagement. Using data from Silent Spring Institute
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Ponsimaa, P. (Petteri). "Discovering value for health with grocery shopping data." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605221849.

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Food retailers are taking more active role in the customer value creation process and shifting their attention from the sale of goods to support customer’s value-creation to discover more innovative service-based business models. From customer data consumers may develop more responsible consumption behaviour, make more economical choices, and raise awareness on food healthiness. This exploratory study sets out to answer the question what value if any does the use of grocery shopping data bring to the customers. Using design science research, the thesis makes use of grocery purchase data avail
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Adu-Prah, Samuel. "GEOGRAPHIC DATA MINING AND GEOVISUALIZATION FOR UNDERSTANDING ENVIRONMENTAL AND PUBLIC HEALTH DATA." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/dissertations/657.

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Within the theoretical framework of this study it is recognized that a very large amount of real-world facts and geospatial data are collected and stored. Decision makers cannot consider all the available disparate raw facts and data. Problem-specific variables, including complex geographic identifiers have to be selected from this data and be validated. The problems associated with environmental- and public-health data are that (1) geospatial components of the data are not considered in analysis and decision making process, (2) meaningful geospatial patterns and clusters are often overlooked,
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Kersten, Ellen Elisabeth. "Spatial Triage| Data, Methods, and Opportunities to Advance Health Equity." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3686356.

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<p> This dissertation examines whether spatial measures of health determinants and health outcomes are being used appropriately and effectively to improve the health of marginalized populations in the United States. I concentrate on three spatial measures that have received significant policy and regulatory attention in California and nationally: access to healthful foods, climate change, and housing quality. I find that measures of these health determinants have both significant limitations and unrealized potential for addressing health disparities and promoting health equity. </p><p> I de
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Ling, Meng-Chun. "Senior health care system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.

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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.
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Dulaney, D. R., Kurt J. Maier, and Phillip R. Scheuerman. "Data Requirements for Developing Effective Pathogen TMDLs." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/2938.

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Bücher zum Thema "Environmental health Data processing"

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Bonnyns, E. Enregistrement des résultats d'analyse des précipitations: Aspects informatiques. Bruxelles: Ministère de la santé publique et de la famille, Institut d'hygiène et dépidémiologie, 1985.

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Basher, Mian M. Abul, and Rajshahi University. Department of Statistics, eds. International Conference on Statistical Data Mining for Bioinformatics, Health, Agriculture and Environment, 21-24 December, 2012: Proceedings. [Dhaka]: Higher Education Quality Enhancement Program, 2012.

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Office, General Accounting. International environment: U.S. funding of environmental programs and activities. Washington, D.C: The Office, 1996.

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Ifiyenia, Kececioglu, Murthy Jayathi, and American Society of Mechanical Engineers. Heat Division., eds. Adaptive computional methods in environmental transport processes: Presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, Anaheim, California, November 8-13, 1992. New York, N.Y: American Society of Mechanical Engineers, 1992.

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E, Keller Paul, ed. Applications of neural networks in evironment, energy, and health: Proceedings of the 1995 Workshop on Environmental and Energy Applications of Neural Networks, Richland, Washington, USA, 30-31 March 1995. Singapore: World Scientific, 1996.

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Workshop on Environmental and Energy Applications of Neural Networks (1995 Richland, Wash.). Applications of neural networks in evironment, energy, and health: Proceedings of the 1995 Workshop on Environmental and Energy Applicatins of Neural Networks, Pacific Northwest National Laboratory, Richland, Washington, USA, 30-31 March 1995. Singapore: World Scientific, 1996.

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Office, General Accounting. International environment: Strengthening the implementation of environmental agreements : report to Congressional requestors. Washington, D.C: The Office, 1992.

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Montana. Legislature. Office of the Legislative Auditor. Performance audit report: Air quality program, Department of Health and Environmental Sciences. Helena, Mont: The Office, 1994.

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United States. Congress. House. Committee on Commerce. Subcommittee on Health and the Environment. Y2K and medical devices: Screening for the Y2K bug : joint hearing before the Subcommittees on Health and Environment and Oversight and Investigations of the Committee on Commerce, House of Representatives, One Hundred Sixth Congress, first session, May 25, 1999. Washington: U.S. G.P.O., 1999.

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United States. Congress. House. Committee on Commerce. Subcommittee on Oversight and Investigations., ed. Y2K and medical devices: Screening for the Y2K bug : joint hearing before the Subcommittees on Health and Environment and Oversight and Investigations of the Committee on Commerce, House of Representatives, One Hundred Sixth Congress, first session, May 25, 1999. Washington: U.S. G.P.O., 1999.

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Buchteile zum Thema "Environmental health Data processing"

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Balter, Boris, M. Stal’naya, and Victor Egorov. "Comparing Two Alternative Pollutant Dispersion Models and Actual Data within an Environmental Health Information Processing System (EHIPS)." In Modelling of Environmental Chemical Exposure and Risk, 151–64. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0884-6_14.

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Awange, Joseph. "Data Processing and Adjustment." In GNSS Environmental Sensing, 97–113. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58418-8_6.

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Awange, Joseph L. "Data Processing and Adjustment." In Environmental Science and Engineering, 91–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-88256-5_6.

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Malley, Brian, Daniele Ramazzotti, and Joy Tzung-yu Wu. "Data Pre-processing." In Secondary Analysis of Electronic Health Records, 115–41. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43742-2_12.

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Jaafar, Amine, Bruno Sareni, and Xavier Roboam. "Mission and Environmental Data Processing." In Integrated Design by Optimization of Electrical Energy Systems, 1–43. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561812.ch1.

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Bill, Ralf. "Spatial Data Processing in Environmental Information Systems." In Environmental Informatics, 53–73. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-1443-3_4.

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Rao, P. Krishna, Susan J. Holmes, Ralph K. Anderson, Jay S. Winston, and Paul E. Lehr. "Satellite Data Product Processing." In Weather Satellites: Systems, Data, and Environmental Applications, 166–79. Boston, MA: American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-944970-16-1_18.

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Zhang, Kuan, and Xuemin Shen. "Privacy-Preserving Health Data Processing." In Wireless Networks, 81–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24717-5_5.

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Kang, Myeongsu, and Jing Tian. "Machine Learning: Data Pre-processing." In Prognostics and Health Management of Electronics, 111–30. Chichester, UK: John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch5.

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Schmidt, Henrik, A. B. Baggeroer, W. A. Kuperman, and E. K. Scheer. "Robust Beamforming for Matched Field Processing Under Realistic Environmental Conditions." In Underwater Acoustic Data Processing, 427–31. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_47.

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Konferenzberichte zum Thema "Environmental health Data processing"

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Liu, Miao, Junsheng Yu, Zhijiao Chen, Jinglin Guo, and Jun Zhao. "Processing Technology of Massive Human Health Data Based on Hadoop." In 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/mmebc-16.2016.284.

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Fenton, Kevin, and Steven Simske. "Engineering of an artificial intelligence safety data sheet document processing system for environmental, health, and safety compliance." In DocEng '21: ACM Symposium on Document Engineering 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469096.3474933.

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Singh, Ajay, Vincent Koomson, Jaewook Yu, and Goldie Nejat. "A Self-Powered Wireless Health and Environment Monitoring System." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67051.

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The objective of our work is to develop a novel self-powered multi-modal wireless health monitoring sensory system architecture consisting of: (i) wearable devices to continuously monitor the vital signs of a person, and (ii) environmental sensory devices which can monitor the environment and also act as multi-hop routers providing data paths from the wearable devices to a main processing unit. Together these devices can provide effective remote health monitoring of a person and also inform the person of important information. In this paper, we address the significant issue of energy depletion
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Farreras-Alcover, Isaac, Jacob Egede Andersen, and Preston Vineyard. "The Structural Health Monitoring System of the Governor Mario M. Cuomo Bridge." In IABSE Conference, Copenhagen 2018: Engineering the Past, to Meet the Needs of the Future. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/copenhagen.2018.439.

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The Governor Mario M. Cuomo Bridge, also known as the New NY Bridge is a twin cable-stayed bridge that replaces the Tappan Zee Bridge, in the USA. The bridge is equipped with a Structural Health Monitoring System (SHMS) consisting of more than 400 sensors deployed at relevant locations. The sensors capture environmental and operational conditions as well as the associated structural responses. The system is designed to process monitoring data to support data-driven management of the bridge. This is achieved through the system''s different functionalities, which include real-time data visualiza
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Alexakis, Haris, Andrea Franza, Sinan Acikgoz, and Matthew J. DeJong. "Structural Health Monitoring of a masonry viaduct with Fibre Bragg Grating sensors." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1560.

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&lt;p&gt;The Marsh Lane viaduct is a masonry railway bridge constructed during the 19th century nearby Leeds Central Railway Station. The bridge appears significantly damaged due to the increase of the operational train loads over the last decades and due to environmental effects. Due to this degradation, extensive repair was conducted in 2015. After this repair work, an extensive fibre optic sensor network was installed below three spans of the bridge to monitor surface strains at 68 locations on the underside of the arch spans. The paper compares data collected from two monitoring periods, 1
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Гегерь, Эмилия, Emilia Geger, Александр Подвесовский, Aleksandr Podvesovskiy, Сергей Кузьмин, Sergey Kuzmin, Виктория Толстенок, and Viktoriya Tolstenok. "Methods for the Intelligent Analysis of Biomedical Data." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-308-311.

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The paper discusses methodology of cleaning and analysis of small semi-structured samples of biomedical data. This methodology is aimed at statistical evaluation of harmful production factor correlation with workers’ laboratory test data. As a result of the analysis and interpretation of the data, a deviation from the norm is observed according to some indicators of a clinical blood test in individuals whose occupational activity is associated with harmful factors. Conclusions are drawn about the need for further research in the group of people whose work is related to harmful production facto
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Oesch, Christopher, Ajay Mahajan, Lucas Utterback, Haricharan Padmanaban, Sanjeevi Chitikeshi, and Fernando Figueroa. "Intelligent Sensors for Integrated Health Management Systems." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13576.

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This paper describes work being conducted on the development of intelligent sensors with learning capabilities as part of an integrated systems approach. The integrated systems approach treats the sensor as a complete system with its own sensing hardware (the traditional sensor), A/D converter, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow the system to learn its own behavior. The immediate application is the monitoring of rocket test stands, but the technology should be generally applicable
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Giantomassi, Andrea, Francesco Ferracuti, Alessandro Benini, Gianluca Ippoliti, Sauro Longhi, and Antonio Petrucci. "Hidden Markov Model for Health Estimation and Prognosis of Turbofan Engines." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48174.

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Determining the residual life time of systems is a determinant factor for machinery and environment safety. In this paper the problem of estimate the residual useful life (RUL) of turbo-fan engines is addressed. The adopted approach is especially suitable for situations in which a large amount of data is available offline, by allowing the processing of such data for the determination of RUL. The procedure allows to calculate the RUL through the following steps: features extraction by Artificial Neural Networks (ANN) and determination of remaining life time by-prediction models based on a Hidde
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Suharto, K. S. "Structural Health Monitoring of An Offshore Platform Trend of Corrosion and Marine Growth With Predictive Maintenance." In Digital Technical Conference. Indonesian Petroleum Association, 2020. http://dx.doi.org/10.29118/ipa20-se-424.

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Nowadays, there are a lot of oil and gas exploration activities all over the world, especially offshore. Oil and gas production itself has many supporting factors in the production process, of which one of them is the offshore platform. Over time, the offshore platform will experience a degradation in strength from the initial design, therefore offshore platforms need to carry out appropriate inspection, maintenance and repair (IMR) programs so that the offshore platform does not reach critical conditions and disrupt the oil and gas production process, resulting in significant losses and not a
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Tsai, Hanchung, Yung Y. Liu, and James Shuler. "RFID Technology for Environmental Remediation and Radioactive Waste Management." In ASME 2010 13th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2010. http://dx.doi.org/10.1115/icem2010-40218.

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An advanced Radio Frequency Identification (RFID) system capable of tracking and monitoring a wide range of materials and components—from fissionable stocks to radioactive wastes—has been developed. The system offers a number of advantages, including enhanced safety, security and safeguards, reduced personnel exposure to radiation, and improved inventory control and cost-effectiveness. Using sensors, RFID tags can monitor the state of health of the tracked items and trigger alarms instantly when the normal ranges are violated. Nonvolatile memories in the tags can store sensor data, event recor
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Berichte der Organisationen zum Thema "Environmental health Data processing"

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Marter, W. L., and L. R. Bauer. Defense waste processing facility (DWPF) environmental dosimetry data. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/6439530.

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Gautier, M. A. Health and environmental chemistry: analytical techniques, data management, and quality assurance. Volume 1. Office of Scientific and Technical Information (OSTI), May 1986. http://dx.doi.org/10.2172/5107848.

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Gautier, M. A. Health and environmental chemistry: Analytical techniques, data management, and quality assurance. Volume 1, Manual. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10136159.

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Lackland, D. T., J. B. Dunbar, and R. M. Jones. Geo-coding of health and demographic data as a resource for environmental incidents preparedness and response. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/88875.

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5

Mallon, B., D. Layton, R. Fish, P. Hsieh, L. Hall, L. Perry, and G. Snyder. Conventional weapons demilitarization: A health and environmental effects data base assessment: Propellants and their co-contaminants. Office of Scientific and Technical Information (OSTI), August 1988. http://dx.doi.org/10.2172/5873712.

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6

Hunter, M. R. Construction project data sheet for the environmental, safety and health upgrades: Phase 3 Program FY 1991 line item. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/115623.

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7

Shinn, J. H., S. A. Martins, P. L. Cederwall, and L. B. Gratt. Smokes and obscurants: A health and environmental effects data base assessment: A first-order, environmental screening and ranking of Army smokes and obscurants: Phase 1 report. Office of Scientific and Technical Information (OSTI), March 1985. http://dx.doi.org/10.2172/6068996.

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8

Cook, R., S. Adams, J. Beauchamp, M. Bevelhimer, B. Blaylock, C. Brandt, C. Ford, et al. Phase 1 data summary report for the Clinch River Remedial Investigation: Health risk and ecological risk screening assessment. Environmental Restoration Program. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10117530.

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9

Rencz, A. N., and I. M. Kettles. Presentations and recommendations from the workshop on the role of geochemical data in environmental and human health risk assessment, Halifax, 2010. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2011. http://dx.doi.org/10.4095/287934.

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Smyre, J. L., M. E. Hodgson, B. W. Moll, A. L. King, and Yang Cheng. Daytime multispectral scanner aerial surveys of the Oak Ridge Reservation, 1992--1994: Overview of data processing and analysis by the Environmental Restoration Remote Sensing Program, Fiscal year 1995. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/204019.

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