Spatiotemporal Analysis in Applied Sciences Using a Catalog of Research Practices in Civil and Environmental Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 7486

Special Issue Editors


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Guest Editor
1. Faculty of Geodesy, Geospatial and Civil Engineering, Institute of Geodesy, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
2. Faculty of Civil and Environmental Engineering, Department of Geodesy, Gdańsk University of Technology, Gdańsk, Poland
Interests: LiDAR; computer vision; spatial analysis and algorithms; 3D modeling
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Guest Editor
Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, PL-80-233 Gdansk, Poland
Interests: photogrammetry; remote sensing; coastal and offshore engineering; geomatics engineering; geoinformatics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Gdansk University of Technology, Faculty of Civil and Environmental Engineering, Department of Geodesy, PL-80-233 Gdansk, Poland
Interests: environmental monitoring; UAV photogrammetry; coastal research
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is an honor for us to host another Special Issue in Applied Sciences and to invite you to submit original papers on the topic of “Spatiotemporal Analysis in Applied Sciences Using a Catalog of Research Practices in Civil and Environmental Engineering”.

One of the best ways to explore the world is to create a model through which we can exam some solutions. With the passage of time and subsequent analyses, it is possible to understand many processes taking place in environmental and civil engineering. We believe that exploring the world is also knowing yourself through scientific activities, errors found, and ways to overcome them, thus developing practical solutions and applications.

Being aware of the comprehensiveness of the suggested topic, we encourage you to send manuscripts containing original measurement methods and spatial model solutions that can be used in Earth sciences and civil engineering. At the same time, we would like to ask you that each of the solutions be preceded by an empirical test. We understand that proposed experiments could be used in many applications.

Articles may include but are not limited to the following topics:

  • Three-dimensional modeling;
  • Numerical simulations and structural analysis;
  • Spatial management;
  • BIM;
  • Spatial data processing;
  • GIS applications;
  • Geoinformatics;
  • Modern technologies in property analyses;
  • Earth observation.

Dr. Artur Janowski
Dr. Jakub Szulwic
Dr. Pawel Tysiac
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spatial modeling
  • spatial data
  • real estate
  • civil engineering
  • BIM
  • numerical simulations

Published Papers (2 papers)

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Editorial

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3 pages, 174 KiB  
Editorial
Spatial Modelling in Environmental Analysis and Civil Engineering
by Artur Janowski, Jakub Szulwic and Paweł Tysiąc
Appl. Sci. 2021, 11(9), 3945; https://doi.org/10.3390/app11093945 - 27 Apr 2021
Cited by 1 | Viewed by 1767
Abstract
Nowadays, practicing research on the principles of sustainable development is very important [...] Full article

Research

Jump to: Editorial

20 pages, 49783 KiB  
Article
The Application of Satellite Image Analysis in Oil Spill Detection
by Paweł Tysiąc, Tatiana Strelets and Weronika Tuszyńska
Appl. Sci. 2022, 12(8), 4016; https://doi.org/10.3390/app12084016 - 15 Apr 2022
Cited by 10 | Viewed by 5104
Abstract
In recent years, there has been an increasing use of satellite sensors to detect and track oil spills. The satellite bands, namely visible, short, medium infrared, and microwave radar bands, are used for this purpose. The use of satellite images is extremely valuable [...] Read more.
In recent years, there has been an increasing use of satellite sensors to detect and track oil spills. The satellite bands, namely visible, short, medium infrared, and microwave radar bands, are used for this purpose. The use of satellite images is extremely valuable for oil spill analysis. With satellite images, we can identify the source of leakage and assess the extent of potential damage. However, it is not yet clear how to approach a specific leakage case methodologically. The aim of this study is the remote sensing analysis of environmental changes with the development of oil spill detection processing methods. Innovative elements of the work, in addition to methodological proposals, include the long-term analysis of surface water changes. This is very important because oil is very likely to enter the soil when water levels change. The classification result was satisfactory and accurate by 85%. The study was carried out using images from Landsat 5, Landsat 7, Landsat 8, Sentinel-1, and Sentinel-2 satellites. The results of the classification of the oil stains in active and passive technologies differ. This difference affects the methodology for selecting processing methods in similar fields. In the case of this article, the oil spill that occurred on 29 May 2020 in Norilsk was investigated and compared with data from other years to determine the extent of biodegradation. Due to the tank failure that occurred at the Nornickel power plant on that day, a large amount of crude oil leaked into the environment, contaminating the waters and soil of local areas. Research shows that oil spills may be caused by human error or may be the effect of climate change, particularly global warming. Full article
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