17 research outputs found
Validating time series of a combined GPS and MERIS Integrated Water Vapor product
No full textIncreased knowledge of atmospheric water vapor can improve weather predictions and is expected to reduce errors in products derived from GPS and (In)SAR data. At GPS ground stations Integrated Water Vapor (IWV) is estimated from the GPS signal delay with a high temporal resolution. The Envisat MERIS spectrometer obtains spatially dense IWV observations but at limited moments in time. In this research the additional value of MERIS IWV is evaluated when added to GPS IWV for the purpose of obtaining a high quality spatial-temporalwater vapor product. At each of 39 stations, first GPS IWV from surrounding stations is used to produce a two months time series of IWV with a temporal resolution of one hour. Then both GPS and MERIS IWV are used together. The two resulting time series are validated against direct GPS IWV as measured at the station.Aerospace Engineerin
Library & Information Science Journal Editors' Views on Query Letters
No full textSupplemental content for this article can be found here: http://hdl.handle.net/1811/92283Query letters may offer an effective way to increase author engagement in the scholarly communication process, yet they are not a common practice in library and information science (LIS). A survey and interviews were conducted with LIS journal editors to explore experiences, attitudes, and opinions concerning query letters. Results indicate query letters can be of great benefit to both authors and editors, if approached properly. Yet, editors expressed varying levels of enthusiasm and offered some divergent opinions. Such editorial inconsistencies may contribute to authors' uncertainty and anxiety. Thus, this article concludes with ideas for empowering authors and improving editor-author communication.Publisher allows immediate open acces
An informal learning program as a replicable model for student-led, industry-supported experiential learning
No full textThis research paper details the growth of an informal experiential learning program around hackathons and makeathons and presents the evolution of the program as a model of a successful co-curricular approach in engineering education. After six years of growing an informal learning program from a single hackathon event of 100 attendees to a complete experiential learning platform (OHI/O) consisting of over twelve events, sustained industry engagement, scholarships, and building a successful and stable team of student leaders, the authors will share and gather feedback on the development and evolution of the program.Publisher does not allow open access until after publicatio
Teaching, Doing, Learning: Supporting Digital Scholarship at Ohio State
No full textDigital scholarship specialists in academic libraries face challenges related to designing educational activities, engaging in research collaborations, and assessing impacts of their work. We will share strategies related to fostering deeper engagements with researchers, provide insights around scalable services, and review techniques for communicating our impacts on the research enterprise.Poster and appendicesNo embarg
Query Letter Samples for Library and Information Science Journals
No full textThis file contains sample query letters that can be used by authors to work with editors primarily in the library and information science fields. It is supplemental content for this article: http://hdl.handle.net/1811/92311 and this article: http://hdl.handle.net/1811/92820Four sample query lettersNo embarg
Framing Outcomes and Program Assessment for Digital Scholarship Services: A Logic Model Approach
No full textThis is an Accepted Manuscript of an article published by the Association of College and Research Libraries in College and Research Libraries in March 2021, available online: https://doi.org/10.5860/crl.82.2.142Assessing digital scholarship services offered either through academic libraries or elsewhere on campuses is important for both program development and service refinement. Digital scholarship support is influenced by fluid campus priorities and limited resources, including staffing, service models, infrastructure, and partnership opportunities available at a university. Digital scholarship support is built upon deep, ongoing relationships and there is an intrinsic need to balance these time-intensive collaborations with scalable service offerings. Therefore, typical library assessment methods do not adequately capture the sustained engagement and impacts to research support and collaboration that come from digital scholarship services. This article discusses the creation of a logic model as one approach to frame assessment of digital scholarship services in the university environment.Publisher allows immediate open acces
Evaluating MERIS-Based Aquatic Vegetation Mapping in Lake Victoria
No full textDelineation of aquatic plants and estimation of its surface extent are crucial to the efficient control of its proliferation, and this information can be derived accurately with fine resolution remote sensing products. However, small swath and low observation frequency associated with them may be prohibitive for application to large water bodies with rapid proliferation and dynamic floating aquatic plants. The information can be derived from products with large swath and high observation frequency, but with coarse resolution; and the quality of so derived information must be eventually assessed using finer resolution data. In this study, we evaluate two methods: Normalized Difference Vegetation Index (NDVI) slicing and maximum likelihood in terms of delineation; and two methods: Gutman and Ignatov’s NDVI-based fractional cover retrieval and linear spectral unmixing in terms of area estimation of aquatic plants from 300 m Medium Resolution Imaging Spectrometer (MERIS) data, using as reference results obtained with 30 m Landsat-7 ETM+. Our results show for delineation, that maximum likelihood with an average classification accuracy of 80% is better than NDVI slicing at 75%, both methods showing larger errors over sparse vegetation. In area estimation, we found that Gutman and Ignatov’s method and spectral unmixing produce almost the same root mean square (RMS) error of about 0.10, but the former shows larger errors of about 0.15 over sparse vegetation while the latter remains invariant. Where an endmember spectral library is available, we recommend the spectral unmixing approach to estimate extent of vegetation with coarse resolution data, as its performance is relatively invariant to the fragmentation of aquatic vegetation cover
Developing Globally Inclusive Teaching Methods for Library One-Shot Instruction Sessions
No full textThe demographic shifts in higher education and the growing importance of information literacy instruction require librarians to design instruction that is inclusive and accessible to a diverse and international student population. While best practices for library information literacy session are well documented, it is now the time to view some of these best practices through a global equity, diversity, and inclusion (EDI) lens. Designing for a diverse classroom can be an intimidating task. Research shows that having more diverse viewpoints leads to more innovation. As librarians and instructors partner to develop curriculum that will be inclusive, this poster highlights adjustments to library one-shot instruction sessions that are effective for all students.Publisher allows immediate open acces
Fostering a Tech Culture through Campus Collaborations: A Case Study of a Hackathon and Library Partnership
No full textHackathons are time-bound, competitive coding contests that are often judged for prizes. Their name originates from joining hacking, playful exploration of hardware and software issues, with marathons, endurance competitions. The intent is to challenge participants to build working prototypes of hardware or software in a short time period, anywhere from one day to several weeks, though typically between 24-28 hours. While they are a mainstay in computer science fields, they are becoming increasingly popular in other domains, including libraries. Libraries have long championed life-long learning, a democratization of data, and access to information. These are similar mentalities of the maker movement, echoed in hackathons. Rapid iteration, problem solving, and cooperative learning are regularly present at events and within library systems.
This paper details a case study of one institution’s growth from a hackathon event host to deeper library engagement and partnership with an informal learning program. The authors will highlight benefits that both partners observed and will end with a pitch for why other libraries should consider hosting similar events. Finally, several recommended resources for libraries who are contemplating hosting hackathon events will be presented.Publisher allows immediate open acces
A Spectral Unmixing Method with Ensemble Estimation of Endmembers: Application to Flood Mapping in the Caprivi Floodplain
No full textThe Caprivi basin in Namibia has been affected by severe flooding in recent years resulting in deaths, displacements and destruction of infrastructure. The negative consequences of these floods have emphasized the need for timely, accurate and objective information about the extent and location of affected areas. Due to the high temporal variability of flood events, Earth Observation (EO) data at high revisit frequency is preferred for accurate flood monitoring. Currently, EO data has either high temporal or coarse spatial resolution. Accurate methodologies for the estimation and monitoring of flooding extent using coarse spatial resolution optical image data are needed in order to capture spatial details in heterogeneous areas such as Caprivi. The objective of this work was the retrieval of the fractional abundance of water ( γ w ) by applying a new spectral indices-based unmixing algorithm to Medium Resolution Imaging Spectrometer Full Resolution (MERIS FR) data using a minimum number of spectral bands. These images are technically similar to the OLCI image data acquired by the Sentinel-3 satellite, which are to be systematically provided in the near future. The normalized difference wetness index (NDWI) was applied to delineate the water surface and combined with normalized difference vegetation index (NDVI) to account for emergent vegetation within the water bodies. The challenge to map flooded areas by applying spectral unmixing is the estimation of spectral endmembers, i.e., pure spectra of land cover features. In our study, we developed and applied a new unmixing method based on the use of an ensemble of spectral endmembers to capture and take into account spectral variability within each endmember. In our case study, forty realizations of the spectral endmembers gave a stable frequency distribution of γ w . Quality of the flood map derived from the Envisat MERIS (MERIS) data was assessed against high (30 m) spatial resolution Landsat Thematic Mapper (TM) images on two different dates (17 April 2008 and 22 May 2009) during which floods occurred. The findings show that both the spatial and the frequency distribution of the γ w extracted from the MERIS data were in good agreement with the high-resolution TM retrievals. The use of conventional linear unmixing, instead, applied using the entire available spectra for each image, resulted in relatively large differences between TM and MERIS retrievals
