Relevant bibliographies by topics / Measuring and Regulation

Contents

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

Academic literature on the topic 'Measuring and Regulation'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Measuring and Regulation"

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Witko, Christopher. "Measuring the Stringency of State Campaign Finance Regulation." State Politics & Policy Quarterly 5, no. 3 (September 2005): 295–310. http://dx.doi.org/10.1177/153244000500500306.

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Scholars are beginning to consider how state campaign finance regulation influences political behavior and elections, but they lack the systematic measure of these regulations needed to do so. This article describes a simple measure of state campaign finance regulation stringency that is based on state statutes in 2002. Further, this article explains the construction of the measure and assesses its validity and reliability. The index generally confirms qualitative assessments of state campaign finance regulation, and it is correlated with measures of related aspects of state campaign finance regulation, campaign spending, and fundraising.
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Wanless, Shannon B., Megan M. McClelland, Alan C. Acock, Claire C. Ponitz, Seung-Hee Son, Xuezhao Lan, Frederick J. Morrison, et al. "Measuring behavioral regulation in four societies." Psychological Assessment 23, no. 2 (June 2011): 364–78. http://dx.doi.org/10.1037/a0021768.

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Newmark, Adam J. "Measuring State Legislative Lobbying Regulation, 1990–2003." State Politics & Policy Quarterly 5, no. 2 (June 2005): 182–91. http://dx.doi.org/10.1177/153244000500500205.

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Since 1990, the American states have adopted a variety of reforms to regulate lobbying in an attempt to address a host of ethical issues. Such regulation can have important impacts on a variety of aspects of the legislative process because it typically impacts the relationships between legislators and lobbyists. How does such lobbying regulation vary across the states and over time? I have developed a measure of state lobbying regulation from 1990–2003. This measure validly captures the laws that limit relationships between lobbyists and legislators and, as such, can be used to help assess a variety of hypotheses about the legislative process.
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Bar-Haim, Yair, Gali Bar-Av, and Avi Sadeh. "Measuring children's regulation of emotion-expressive behavior." Emotion 11, no. 2 (2011): 215–23. http://dx.doi.org/10.1037/a0022602.

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Turner, Julianne C. "Measuring Self-Regulation: A Focus on Activity." Educational Psychology Review 18, no. 3 (September 14, 2006): 293–96. http://dx.doi.org/10.1007/s10648-006-9022-3.

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Liu, Heidi Han-Ting, and Young-Sun Lee. "Measuring Self-Regulation in Second Language Learning." SAGE Open 5, no. 3 (July 10, 2015): 215824401560171. http://dx.doi.org/10.1177/2158244015601717.

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Chen, Pian, and David D’Auria. "Measuring Antitrust Damages in the Presence of Foreign Government Regulation." Antitrust Bulletin 64, no. 2 (June 2019): 284–92. http://dx.doi.org/10.1177/0003603x19844627.

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The U.S. Supreme Court on June 14, 2018, reversed the Second Circuit’s 2016 decision to vacate a $147 million judgment against two Chinese companies, who allegedly fixed vitamin C prices. The high court held that courts should give foreign governments’ statements “respectful consideration” but are not bound by another country’s description of its own laws. Going forward, courts will need to evaluate a foreign government’s statements when defendants claim a contradiction between U.S. law and foreign regulations as a defense. When government regulation and private cartelization overlap, complications arise because the foreign companies may be liable for their anticompetitive conduct that was beyond the requirement of and might even have influenced foreign government policies. Using two illustrative cases ( In Re Vitamin C Antitrust Litigation and Resco Products v. Bosai Minerals), we analyze the impact of the price floor and export quotas and propose a new, workable methodology for measuring antitrust damages attributable to the private cartel in the presence of foreign regulation.
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SCHRAW, GREGORY. "Measuring Self-Regulation in Computer-Based Learning Environments." Educational Psychologist 45, no. 4 (October 25, 2010): 258–66. http://dx.doi.org/10.1080/00461520.2010.515936.

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Abito, Jose Miguel. "Measuring the Welfare Gains from Optimal Incentive Regulation." Review of Economic Studies 87, no. 5 (September 17, 2019): 2019–48. http://dx.doi.org/10.1093/restud/rdz050.

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Abstract I empirically measure the welfare gains from optimal incentive regulation in the context of electric utilities facing both emissions and rate of return regulation (RORR). I provide evidence that RORR induces lower fuel efficiency, leading to greater coal consumption and higher emissions abatement costs. Replacing RORR with the optimal mechanism of Laffont and Tirole (1986) yields annual welfare gains of $686 million or a 11% reduction in electricity prices. I construct a much simpler two-contract menu that can achieve more than 65% of these welfare gains.
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Kan, Michael E. "Measuring Stick for Risk Needed for Realistic Regulation." Natural Gas 10, no. 1 (August 20, 2008): 20–23. http://dx.doi.org/10.1002/gas.3410100107.

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Dissertations / Theses on the topic "Measuring and Regulation"

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VanKrevelen, Steve. "Measuring regulatory focus." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/36210.

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Master of Science
Department of Psychological Sciences
Clive J. A. Fullagar
Regulatory focus has emerged as an important construct in the organizational sciences. In the past ten years more than 200 papers have been published applying regulatory focus to a wide variety of contexts ranging from marketing and persuasion to feedback and performance appraisal (Johnson et al., 2015). Despite the ubiquity of RFT’s application, only a few studies have targeted the psychometric properties of measures of regulatory focus; and the findings thus far suggest that improvement is needed. Haws (2010) evaluated five measures of regulatory focus and concluded that they differed substantially with respect to their theoretical content, and that most demonstrated unacceptably low internal consistency. Summerville & Roese (2008) drew similar conclusions in their evaluation of the Regulatory Focus Questionnaire (RFQ) and the General Regulatory Focus Measure (GRFM) and added that the two scales might actually be measuring different underlying constructs. Given the inconsistencies and problems associated with existing measures of regulatory focus, the purpose of the current research is to extend the critical evaluation of existing measures of regulatory focus and then to propose the development of a new measure based on rigorous scale development practices like those set forth in Hinkin, (1995) and Crocker & Algina, (1986). A new scale of Regulatory Focus was developed designed to measure all aspects of RFT and to test whether a two-factor or a four-factor SEM model fit the data best. The final scale consisted of 14 items. CFAs were used to test whether a two-factor or a four-factor model of regulatory focus fit the data best. Results suggested that both models fit the data equally well. However, for parsimony reasons and given that one of the latent factors of the four-factor model contained only two items (making any estimates of internal consistency difficult) the two factor model of regulatory focus was retained as the preferred model.
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Perkins, A., J. V. Becker, and Jill D. Stinson. "Self-Regulation in New Domains: The Reliability and Validity of Scales Measuring Cognitive and Interpersonal Regulation." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/7972.

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Kazerouni, Ayaan Mehdi. "Measuring the Software Development Process to Enable Formative Feedback." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97723.

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Graduating CS students face well-documented difficulties upon entering the workforce, with reports of a gap between what they learn and what is expected of them in industry. Project management, software testing, and debugging have been repeatedly listed as common "knowledge deficiencies" among newly hired CS graduates. Similar difficulties manifest themselves on a smaller scale in upper-level CS courses, like the Data Structures and Algorithms course at Virginia Tech: students are required to develop large and complex projects over a three to four week lifecycle, and it is common to see close to a quarter of the students drop or fail the course, largely due to the difficult and time-consuming nature of the projects. My research is driven by the hypothesis that regular feedback about the software development process, delivered during development, will help ameliorate these difficulties. Assessment of software currently tends to focus on qualities like correctness, code coverage from test suites, and code style. Little attention or tooling has been developed for the assessment of the software development process. I use empirical software engineering methods like IDE-log analysis, software repository mining, and semi-structured interviews with students to identify effective and ineffective software practices to formulate. Using the results of these analyses, I have worked on assessing students' development in terms of time management, test writing, test quality, and other "self-checking" behaviours like running the program locally or submitting to an oracle of instructor-written test cases. The goal is to use this information to formulate formative feedback about the software development process. In addition to educators, this research is relevant to software engineering researchers and practitioners, since the results from these experiments are based on the work of upper-level students who grapple with issues of design and work-flow that are not far removed from those faced by professionals in industry.
Doctor of Philosophy
Graduating CS students face well-documented difficulties upon entering the workforce, with reports of a gap between what they learn and what is expected of them as professional soft-ware developers. Project management, software testing, and debugging have been repeatedly listed as common "knowledge deficiencies" among newly hired CS graduates. Similar difficulties manifest themselves on a smaller scale in upper-level CS courses, like the DataStructures and Algorithms course at Virginia Tech: students are required to develop large and complex software projects over a three to four week lifecycle, and it is common to see close to a quarter of the students drop or fail the course, largely due to the difficult and time-consuming nature of the projects. The development of these projects necessitates adherence to disciplined software process, i.e., incremental development, testing, and debugging of small pieces of functionality. My research is driven by the hypothesis that regular feedback about the software development process, delivered during development, will help ameliorate these difficulties. However, in educational contexts, assessment of software currently tends to focus on properties of the final product like correctness, quality of automated software tests, and adherence to code style requirements. Little attention or tooling has been developed for the assessment of the software development process. In this dissertation, I quantitatively characterise students' software development habits, using data from numerous sources: us-age logs from students' software development environments, detailed sequences of snapshots showing the project's evolution over time, and interviews with the students themselves. I analyse the relationships between students' development behaviours and their project out-comes, and use the results of these analyses to determine the effectiveness or ineffectiveness of students' software development processes. I have worked on assessing students' development in terms of time management, test writing, test quality, and other "self-checking"behaviours like running their programs locally or submitting them to an online system that uses instructor-written tests to generate a correctness score. The goal is to use this information to assess the quality of one's software development process in a way that is formative instead of summative, i.e., it can be done while students work toward project completion as opposed to after they are finished. For example, if we can identify procrastinating students early in the project timeline, we could intervene as needed and possibly help them to avoid the consequences of bad project management (e.g., unfinished or late project submissions).In addition to educators, this research is relevant to software engineering researchers and practitioners, since the results from these experiments are based on the work of upper-level students who grapple with issues of design and work-flow that are not far removed from those faced by professionals in industry.
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Sullivan, Thalia P., Hannah G. Mitchell, and Meredith K. Ginley. "Evaluating the Validity of the Difficulties in Emotion Regulation Scale in Measuring Impulsivity Among Risk-Taking College Students." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/etsu-works/8897.

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Patry, Michel. "Measuring the impact of regulation in a dynamic context : an application to Bell Canada." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/29046.

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In this thesis, a model of producer behavior for a regulated utility that fully takes into account the dynamic nature of the capital accumulation process of the firm is developed and empirically implemented using recent data on Bell Canada. On the basis of this model of producer behavior, loss formulae that approximate the value of foregone output due to imperfect regulation in a dynamic context are derived and estimates of the deadweight loss in the case of Bell are provided. The estimation results indicate the importance of dynamic elements, such as expectations and adjustment costs of investment, in modeling the behavior of Bell. They also suggest that rate of return regulation may have affected the investment decisions of the utility.
Arts, Faculty of
Vancouver School of Economics
Graduate
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Rachor, Hornsby Jacquelyn Lee. "Measuring Regulatory and Noncompliance Prevalence Among Maryland Commercial Blue Crab Fishers." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7327.

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Few empirical studies exist that compare regulation (R) and fishing crime (VL). The lack of information about R and VL effects stakeholder decision-making. Crime weakens conservation efforts and creates false baseline data. This furthers R and the cycle repeats. The purpose of this correlational study was to determine the statistical association between the number and type of annual commercial blue crab R and VL of the same. The Pearson's R correlation was used to analyze the data because it demonstrated the strength of each relationship. This quantitative study was grounded in enforcement theory. The data was public record and consisted of the number of R and VL issued yearly from the General Assembly of a Mid Atlantic's State Department of Natural Resources (MD-DNR). The intent was to correlate multiple decades, but the earliest available VL data began in 2009. The analysis uncovered divergent patterns. The correlation coefficient of 0.79644 confirmed laws from 2009 correlated positively with 2010 violations. Further analysis revealed a negative correlation for 2010 and 2011 that was indicated by a negative correlation coefficient of -0.3588 and -0.166. The mean average of VL was 12.5%. As restrictions keep increasing, the economic impact on local communities is substantial. This research has the potential to effect positive changes in restrictive harvest practices, record keeping of VL by Natural Resources of this Mid Atlantic State, and harvest reporting practices by crabbers. Sharing the findings with industry stakeholders may stimulate dialogue among stakeholders that answers why one type of regulation was violated more than another, encourage compliance by industry users, and improve conservation efforts to proliferate blue crab. This research contributes to future investigation of often-neglected variables that compromise conservation of blue crab.
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Ross, Robbie. "Development and Initial Validation of a Scale Measuring Young Children’s Awareness of Trait Cognitive Control." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23115.

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Success in early childhood requires fluent cognitive control functioning and the ability to select and execute effective regulatory strategies across many new contexts including academics and social interactions. Cognitive control functioning has been positively linked to a host of important short- and long-term outcomes across many diverse domains. A wealth of research on self-efficacy, self-concept, and implicit theories of cognitive processes demonstrates that individuals’ self-perceptions of ability and cognition substantially influence important behavioral outcomes, namely academic performance. Investigations into the mechanisms underlying these links suggest that self-perceptions of abilities impact academic outcomes by differentially influencing the self-regulated learning behaviors that individuals choose to engage. Despite this knowledge, and evidence suggesting that capturing such self-perceptions from young children is highly plausible, the extent to which young children can reflect and report on their own cognitive control abilities has not been investigated. In this dissertation, I develop and validate an interview scale that aims to probe children’s self-perceptions of their cognitive control abilities using the Berkeley Puppet Interview administration format. Scale analyses of interviews from 125 children aged 4- through 7-years suggest the scale elicits responses that cluster around two correlated, but separable components: Self- and Emotion-Regulation and Attention Modulation. Responses on these two subscales were reliable, showing moderate to strong internal consistency. Subscale scores were strongly correlated with parent reports of similar skills, and self-reports of related constructs, but showed no such relations with behavioral tasks measuring executive functioning abilities. The findings suggest that young children are capable of reflecting and reporting on their own cognitive control skills, and that these skills correspond to parent reports of similar abilities. Further scale refinement and targeted validation efforts are called for; however, these encouraging early results suggest the new scale holds potential to play a key role in uncovering ways in which children’s self-perceptions influence their learning success.
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Sastry, Padma. "Measuring multidemensional performance attributes: method and application to measurement of service quality of local telephone companies." The Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=osu1147824579.

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Buse, Rebekka [Verfasser], and M. [Akademischer Betreuer] Schienle. "Measuring Dynamic Spillovers in Networks: Sovereign Contagion, Regulation Effects and Market Sectors / Rebekka Buse ; Betreuer: M. Schienle." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/1181190622/34.

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Erisken, Cevat. "Electricity Market Liberalisation In The Eu-15 Member States, New Entrants And Candidate Countries: Measuring The Progress Between 1999 And 2001." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605354/index.pdf.

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Measuring the progress of the Member States of the European Union in liberalising their electricity markets has received considerable importance since the Electricity Directive 96/92/EC is introduced. In this thesis, first, a model based on the indicators-approach proposed by OXERA is developed to measure the degree of liberalisation in electricity markets. Then, the degree of electricity market liberalisation in the European Union-15, the New Entrants and Candidate Countries is measured in the years 1999, 2000 and 2001. Measurement of electricity market liberalisation in the European Union-15 and the New Entrants and Candidate Countries brings about several important findings. It is seen that there is a progress in the degree of electricity market liberalisation in the European Union-15 between 1999 and 2001. Similarly, the New Entrants and Candidate Countries are, also, found to increase the degree of liberalisation in their national electricity markets between 1999 and 2001 and to converge to the European Union'
s level of electricity market liberalisation. Furthermore, comparison of the state of liberalisation in electricity generation and supply markets in the European Union -15 Member States and the New Entrants and Candidate Countries suggests that their electricity generation market is not as liberalised as their supply market.
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Books on the topic "Measuring and Regulation"

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Levine-Schnur, Ronit, ed. Measuring the Effectiveness of Real Estate Regulation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35622-4.

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Mats, Persson. Out of control?: Measuring a decade of EU regulation. London: Open Europe, 2009.

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Persson, Mats. Out of control?: Measuring a decade of EU regulation. London: Open Europe, 2009.

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United States. National Commission for Employment Policy. Measuring employment effects in the regulatory process: Recommendations and background study. Washington, D.C. (1522 K St., N.W., Suite 300, Washington 20005): National Commission for Employment Policy, 1993.

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Measuring the employment effects of regulation: Where did the jobs go? Westport, Conn: Quorum Books, 1996.

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Schmid, Frank A. Measuring the performance of a central bank: Empirical evidence for Germany 1964-1989. Coventry: University of Warwick Department of Economics, 1991.

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Schmid, Frank A. Measuring the performance of a central bank: Empirical evidence for Germany : 1964-1989. Coventry: Warwick University, Department of Economics, 1991.

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Measuring nominal and effective protection: The case of Mexico. Aldershot: Avebury, 1987.

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Coleman, Jonathan R. Measuring welfare changes from commodity price stabilization in small open economies. Wadhington, D.C. (1818 H St., N.W., Washington 20433): International Economics Dept., the World Bank, 1992.

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Peter, Neary J., ed. Measuring the restrictiveness of international trade policy. Cambridge, Mass: MIT Press, 2005.

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Book chapters on the topic "Measuring and Regulation"

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Astin, John. "Guiding Principles: Framework Regulation." In Measuring EU Inflation, 29–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68806-6_3.

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Janssen, N. G. J., and C. J. M. Kool. "Measuring Money in the Netherlands." In Essays on Money, Banking, and Regulation, 3–25. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1263-5_1.

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Chassin, Mark R. "Measuring and Improving Quality in Health Care." In Health Care Policy and Regulation, 231–42. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2219-5_12.

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Haldi, John, and Francois-Xavier Lehmann. "Measuring Performance in Mail Delivery." In Regulation and the Nature of Postal and Delivery Services, 303–22. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3120-3_17.

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Cumperayot, Phornchanok J., Jon Danielsson, Bjorn N. Jorgensen, and Caspar G. de Vries. "On the (Ir)Relevancy of Value-at-Risk Regulation." In Measuring Risk in Complex Stochastic Systems, 99–117. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1214-0_6.

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Watson, C. Luke, and Oren Ziv. "Measuring the Demand for Land Under Sorting and Matching." In Measuring the Effectiveness of Real Estate Regulation, 3–13. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35622-4_1.

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Camanho, Nelson, Ronit Levine-Schnur, and Tal Farber. "Dealing with an Anchoring Bias in the Mortgage Market: A Regulatory Approach." In Measuring the Effectiveness of Real Estate Regulation, 191–204. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35622-4_10.

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van Erp, Sjef. "European Property Law: Competence, Integration, and Effectiveness." In Measuring the Effectiveness of Real Estate Regulation, 205–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35622-4_11.

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Serkin, Christopher. "Capitalization and Exclusionary Zoning." In Measuring the Effectiveness of Real Estate Regulation, 15–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35622-4_2.

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Twinam, Tate. "The Long-Run Impact of Zoning in US Cities." In Measuring the Effectiveness of Real Estate Regulation, 35–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35622-4_3.

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Conference papers on the topic "Measuring and Regulation"

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Melo, Wilson, Luiz F. R. C. Carmo, Alysson Bessani, Nuno Neves, and Altair Santin. "How blockchains can improve measuring instruments regulation and control." In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2018. http://dx.doi.org/10.1109/i2mtc.2018.8409724.

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Jang, Moonkyoung, Seongmin Jeon, Byungjoon Yoo, and Jongil Kim. "Measuring the Effects of Regulation Policy on Online Game." In the 17th International Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2781562.2781590.

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Zhang, Yan, Shiyang Wei, Fasheng Cao, Fuping Zhou, Qiannan Lu, Xiangdie Wang, and Jiankun He. "The Regulation of Genetic Data by the Em Algorithm." In 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2020. http://dx.doi.org/10.1109/icmtma50254.2020.00147.

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Ming, Xu, Ni Jing, and Chen Guojin. "Variable-load Simulation of Energy Regulation Based Variable-speed Electrohydraulic Drive System." In 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2011. http://dx.doi.org/10.1109/icmtma.2011.844.

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Yinqing, Fang, and Wu Hong. "Research on the Multiple Attributes of Virtual Currency and its Regulation." In 2014 Sixth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2014. http://dx.doi.org/10.1109/icmtma.2014.134.

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Elluri, Lavanya, Karuna Pande Joshi, and Anantaa Kotal. "Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377864.

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Yang, Huafen, Dechun Dong, Youjun Ren, Jian Xu, and Siyuan Yang. "Study on Fuzzy PID Control in Double Closed-Loop DC Speed Regulation System." In 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2011. http://dx.doi.org/10.1109/icmtma.2011.687.

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Zha Wei-hua and Yuan Yue. "Mechanism of Active-Power-PSS Low-frequency Oscillation Suppression and Characteristic of Anti-regulation." In 2011 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2011. http://dx.doi.org/10.1109/icmtma.2011.421.

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Peng, Xiaohong, Laisheng Xiao, Zhi Mo, and Guodong Liu. "The Variable Frequency and Speed Regulation Constant Pressure Water Supply System Based on PLC and Fuzzy Control." In 2009 International Conference on Measuring Technology and Mechatronics Automation. IEEE, 2009. http://dx.doi.org/10.1109/icmtma.2009.392.

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Zhang, Ningyi, Liran Juan, and Tianyi Zang. "NCRR: A novel method for measuring disease similarity based on non-coding RNA regulation." In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020. http://dx.doi.org/10.1109/bibm49941.2020.9313181.

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Reports on the topic "Measuring and Regulation"

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Calomiris, Charles, Harry Mamaysky, and Ruoke Yang. Measuring the Cost of Regulation: A Text-Based Approach. Cambridge, MA: National Bureau of Economic Research, March 2020. http://dx.doi.org/10.3386/w26856.

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Hirst, E. Measuring Generator Performance in Providing Regulation and Load-Following Ancillary Services. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/814187.

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Mansur, Erin, and Sheila Olmstead. The Value of Scarce Water: Measuring the Inefficiency of Municipal Regulations. Cambridge, MA: National Bureau of Economic Research, October 2007. http://dx.doi.org/10.3386/w13513.

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Douglas, Thomas, and Caiyun Zhang. Machine learning analyses of remote sensing measurements establish strong relationships between vegetation and snow depth in the boreal forest of Interior Alaska. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41222.

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Abstract:
The seasonal snowpack plays a critical role in Arctic and boreal hydrologic and ecologic processes. Though snow depth can be different from one season to another there are repeated relationships between ecotype and snowpack depth. Alterations to the seasonal snowpack, which plays a critical role in regulating wintertime soil thermal conditions, have major ramifications for near-surface permafrost. Therefore, relationships between vegetation and snowpack depth are critical for identifying how present and projected future changes in winter season processes or land cover will affect permafrost. Vegetation and snow cover areal extent can be assessed rapidly over large spatial scales with remote sensing methods, however, measuring snow depth remotely has proven difficult. This makes snow depth–vegetation relationships a potential means of assessing snowpack characteristics. In this study, we combined airborne hyperspectral and LiDAR data with machine learning methods to characterize relationships between ecotype and the end of winter snowpack depth. Our results show hyperspectral measurements account for two thirds or more of the variance in the relationship between ecotype and snow depth. An ensemble analysis of model outputs using hyperspectral and LiDAR measurements yields the strongest relationships between ecotype and snow depth. Our results can be applied across the boreal biome to model the coupling effects between vegetation and snowpack depth.
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