Paulina Lewińska

Dr. Paulina Lewińska

1. Department of Computer Science, University of York, Deramore Lane, Heslington, York YO10 5GH, UK
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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 July 2019 in International Journal of Architectural Heritage
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Journal Article
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DSDominika Sztwiertnia
Dominika Sztwiertnia
AOAgnieszak Ochałek
Agnieszak Ochałek
ATAlicja Tama
Alicja Tama
PLPaulina Lewińska
Paulina Lewińska
In recent years, Building Information Model (BIM) has become a leading topic for construction-related fields. This technology may be viewed as a process, a type of database, a software or even a 3D model, but in fact, it integrates all these roles and many more. Heritage (Historic) Building Information Model (HBIM) is a standard for heritage objects. It not only allows for the storing of spatial information and metadata but also provides the means of documenting changes that such structures undergo. The scope of application varies from simple documentation repository, through conservation planning tools, to construction and renovation simulation instruments. In this paper, we focus on the example of the so-called Wang Temple in Karpacz, Poland. This object was chosen due to its unique history. This project was done in cooperation with BIMPoint Company (Kraków). It was aimed at showing how effective HBIM can be in accurate spatial documentation of small-scale heritage sites.

1 January 2016 in Journal of Ecological Engineering
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Journal Article
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PLPaulina Lewińska
Paulina Lewińska
Artur DyczkoArtur Dyczko
Artur Dyczko
Spoil tips are anthropomorphic terrain structures built out of leftover materials from underground or open pit mining. Usually the term spoil tips refers to those build out of unusable particles from coal exploration. As such they consist mostly of slate and various types of sandstone or...

30 March 2021 in Sensors
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QAQingsong Ai
Qingsong Ai
KMKamil Maciuk
Kamil Maciuk
PLPaulina Lewińska
Paulina Lewińska
ŁBŁukasz Borowski
Łukasz Borowski
This research is focused on searching for frequency and noise characteristics for available GNSS (Global Navigation Satellite Systems). The authors illustrated frequency stability and noise characteristics for a selected set of data from four different GNSS systems. For this purpose, 30-s-interval clock corrections were used for the GPS weeks 1982–2034 (the entirety of 2018). Firstly, phase data (raw clock corrections) were preprocessed for shifts and removal of outliers; GLONASS and GPS satellites characterize a smaller number of outliers than BeiDou and Galileo clock products. Secondly, frequency and Hadamard deviation were calculated. This study concludes that the stability of GPS and Galileo is better than that of BDS (BeiDou Navigation Satellite System) and GLONASS. Regarding noise, the GPS, Galileo, and BDS clocks are affected by the random walk modulation noise (RWFM), flashing frequency modulation noise (FFM), and white frequency modulation noise (WFM), whereas the GLONASS clocks are mainly affected only by WFM.

7 July 2023 in Acta Scientiarum Polonorum. Formatio Circumiectus
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Journal Article
Closed access
MAMichal Apollo
Michal Apollo
Mateusz JakubiakMateusz Jakubiak
Mateusz Jakubiak
SNSorin Nistor
Sorin Nistor
PLPaulina Lewińska
Paulina Lewińska
Artur KrawczykArtur Krawczyk
Artur Krawczyk
KMKamil Maciuk
Kamil Maciuk
Aim of the study: Today, completely new forms of geo-information systems are becoming increasingly popular. New technological possibilities allow these systems to be adapted to the requirements and needs of societies. This paper is an extensive literature review of the use of geodata in various scientific fields, in STEM (science, technology, engineering, and mathematics) disciplines. However, as there is no universal agreement as to which disciplines are included in the STEM, the authors also included related fields such as geography or transport. Material and methods: Already a preliminary analysis of the Web of Science Core Collection database has shown that geodata is used very widely, in every scientific discipline analysed (with varying degrees of sophistication). The main objective of the paper is to provide a comprehensive analysis of the usage of geodata in five areas: bathymetric measurements, satellite geodata, aerial retrieved geodata, levelling networks, and GIS data. Results and conclusions: The results showed the increasing availability of data that can contribute to a better understanding and management of our planet. Geodata as a tool is overly broad and general, and it is used or might be used in every discipline of science.

10 July 2020 in Remote Sensing
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SSStanisław Szombara
Stanisław Szombara
PLPaulina Lewińska
Paulina Lewińska
AŻAnna Żądło
Anna Żądło
MRMarta Róg
Marta Róg
KMKamil Maciuk
Kamil Maciuk
Analyses of riverbed shape evolution are crucial for environmental protection and local water management. For narrow rivers located in forested, mountain areas, it is difficult to use remote sensing data used for large river regions. We performed a study of the Prądnik River, located in the Ojców National Park (ONP), Poland. A multitemporal analysis of various data sets was performed. Light detection and ranging (LiDAR)-based data and orthophotomaps were compared with classical survey methods, and 78 cross-sectional profiles were done via GNSS and tachymetry. In order to add an extra time step, the old maps of this region were gathered, and their content was compared with contemporary data. The analysis of remote sensing data suggests that they do not provide sufficient information on the state and changes of riverbanks, river course or river depth. LiDAR data sets do not show river bottoms, and, due to plant life, do not document riverbanks. The orthophotomaps, due to tree coverage and shades, cannot be used for tracking the whole river course. The quality of old maps allows only for general shape analysis over time. This paper shows that traditional survey methods provide sufficient accuracy for such analysis, and the resulted cross-sectional profiles can and should be used to validate other, remote sensing, data sets. We diagnosed problems with the inventory and monitoring of such objects and proposed methods to refine the data acquisition.

23 June 2022 in The Cryosphere
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MCMichael A. Cooper
Michael A. Cooper
PLPaulina Lewińska
Paulina Lewińska
WSWilliam A. P. Smith
William A. P. Smith
EHEdwin R. Hancock
Edwin R. Hancock
JDJulian A. Dowdeswell
Julian A. Dowdeswell
DRDavid Rippin
David Rippin
We present an approach for extracting quantifiable information from archival aerial photographs to extend the temporal record of change over a region of the central eastern Greenland Ice Sheet. The photographs we use were gathered in the 1930s as part of a surveying expedition, and so they were not acquired with photogrammetric analysis in mind. Nevertheless, we are able to make opportunistic use of this imagery, as well as additional, novel datasets, to explore changes at ice margins well before the advent of conventional satellite technology. The insights that a longer record of ice margin change bring is crucial for improving our understanding of how glaciers are responding to the changing climate. In addition, our work focuses on a series of relatively small and little studied outlet glaciers from the eastern margin of the ice sheet. We show that whilst air and sea surface temperatures are important controls on the rates at which these ice masses change, there is also significant heterogeneity in their responses, with non-climatic controls (such as the role of bathymetry in front of calving margins) being extremely important. In general, there is often a tendency to focus either on changes of the Greenland Ice Sheet as a whole, or on regional variations. Here, we suggest that even this approach masks important variability, and full understanding of the behaviour and response of the ice sheet requires us to consider changes that are taking place at the scale of individual glaciers.