https://www.gaee.agh.edu.pl/gaee/issue/feedGeomatics and Environmental Engineering2025-05-12T00:00:00+02:00Geomatics and Environmental EngineeringGaEE@agh.edu.plOpen Journal Systemshttps://www.gaee.agh.edu.pl/gaee/article/view/889Housing Stocks of Polish Counties during Period of 2010–2022: Prism of Quantitative and Qualitative Changes after Taking Context of Flipping into Account2025-01-12T21:02:44+01:00Alina Kulczyk-Dynowskaalina.kulczyk-dynowska@upwr.edu.plMaria Hełdakmaria.heldak@upwr.edu.plSultan Sevinç Kurt Konakoğlusultansevinckurt@gmail.comKatarzyna Przybyłakatarzyna.przybyla@upwr.edu.pl<p>Access to housing stock directly determines one’s quality of life, and a property that meets one’s housing needs is usually the most valuable household asset. Any changes in the housing stock are, therefore, important to society. The Polish real estate market has not only been developing dynamically in recent years but has also been influenced by various measures of state interventionism. Even though the first phenomenon should be evaluated positively, interventionism highlights the imperfection of the analyzed market and makes us lean toward the phenomenon of flipping. The article presents selected features of the housing stock in Poland from the period of 2010–2022 (the synthetic-developmentmeasures method was used) as well as attempts to draw attention to flipping as a phenomenon on the real estate market.</p>2025-03-22T00:00:00+01:00Copyright (c) 2025 Alina Kulczyk-Dynowska, Maria Hełdak, Sultan Sevinç Kurt Konakoğlu, Katarzyna Przybyłahttps://www.gaee.agh.edu.pl/gaee/article/view/841Green Economy, Trade, and Consumers – Interactions in European Green Transition2025-03-01T22:04:42+01:00Miglena Dushkovam.dushkova@ue-varna.bgIvo Kostovi.kostov@ue-varna.bg<p>This article presents a current and significant problem by exploring the main problems of the European Green Transition; the authors discuss these in two aspects: first, the goals of the Green Transition as one of the European Union’s strategic priorities – the goals, achievements, and possible risks that face the European Union’s green policies are discussed.<br />The second aspect of the study is the authors’ attempt to reveal and comment on the role of trade and consumers as a tool that works in favor of the Green Transition – specifically, those that are included in European Union documents such as the Green Deal and the Circular Economy Action Plan. The definition of the problem is based on the understanding that, on the one hand, trade as an economic sector is developing most dynamically and on a large scale, making Sector G the largest set of enterprises among all of the sectors that carry out economic activities in the EU (including Bulgaria). On the other hand, trade as a business activity is closely linked to consumers; it actively interacts with them and, therefore, has a significant impact on their behaviors (including their impact on the environment). In practice, it is impossible to achieve the green goals without the connection and interaction “trade-consumers”; in addition to being aimed at achieving a modern, resource-efficient, and competitive EU economy, these reflect the Union’s aspiration to protect its people’s health and increase their collective well-being.</p>2025-04-15T00:00:00+02:00Copyright (c) 2025 Miglena Dushkova, Ivo Kostovhttps://www.gaee.agh.edu.pl/gaee/article/view/863Site Selections for Hill Dams in Oued Cherrat Watershed, NW Morocco: Weighted Overlay Approach2025-03-01T22:40:56+01:00Oumaima Zerdeb oumaimazerdeb1@gmail.comAllal Labrikilabriki.allal@gmail.comMohamed Manaouchmohamed.manaouch@uit.ac.maSaid Chakirichakiri@uit.ac.maMohamed Sadikimohamed.sadiki@uit.ac.ma<p>The identifications of suitable locations for hill dam construction are confronted with various challenges, including environmental, technical, social, economic, and regulatory factors; these necessitate meticulous planning and management. This study employed geographic information systems (GIS) to identify and forecast potential sites within the Oued Cherrat watershed in northwest Morocco. A suitability map was developed by integrating multiple data sets, such as digital elevation models (DEMs), lithology, drainage density, and lineament density. By utilizing a weighted overlay analysis, the study area was categorized into segments with varying suitability levels for hill dam installation (ranging from unsuitable to very high potential). Covering an area of 39 km², the results indicated that 8% of the total area possessed very high potential. The findings were validated through field surveys that were conducted both prior to and following the study; these confirmed the high-potential areas that were identified by the model, thereby enhancing the reliability of the suitability map for future hill dam planning and flood-risk-mitigation strategies.</p>2025-05-07T00:00:00+02:00Copyright (c) 2025 Oumaima Zerdeb , Allal Labriki, Mohamed Manaouch, Said Chakiri, Mohamed Sadikihttps://www.gaee.agh.edu.pl/gaee/article/view/905Comparison of Machine-Learning Algorithms for SPOT 7 Multispectral Image Classification2025-03-04T11:10:52+01:00Davide Moraledavide.morale001@studenti.uniparthenope.itClaudio Parenteclaudio.parente@uniparthenope.itSalvatore Falanga Bolognesisalvatore.falanga@ariespace.com<p>Precise and timely land-cover identification plays an important role in effective environmental monitoring and land management. This study compares theperformanceoffive machine-learningclassifiers –supportvectormachine (SVM), decision tree (DT), normal Bayes (NB), random forest (RF), and k-nearest neighbor (k-NN) – in the land-cover mapping of the Agro Nocerino Sarnese area (Southern Italy) using high-resolution SPOT 7 pan-sharpened multispectral images with a pixel size of 1.5 m × 1.5 m. The data set consisted of blue, green, red, and near-infrared (NIR) bands and was processed with Orfeo ToolBox (OTB) software. Two data sets were analyzed: DS-3B (which included only the visible bands [blue, green, and red]), and DS-4B (which also included the NIR band). A comparison of the classifiers’ performances across various land-cover classes was conducted in order to assess their respective classification accuracy. The results showed that SVM and k-NN achieved the highest overall accuracy levels (93% and 92%, respectively) using only the visible bands, whereas the decision tree classifier performed best when the NIR band was included. Random forest achieved excellent accuracy in vegetation classes (88–99%) but struggled with misclassifications in bare soil and man-made classes such as buildings and roads. These results emphasized the significant impact of data set characteristics on classifier performance as well as the importance of band selection and pan-sharpening techniques in high-resolution land-cover mapping.</p>2025-04-30T00:00:00+02:00Copyright (c) 2025 Davide Morale, Claudio Parente, Salvatore Falanga Bolognesihttps://www.gaee.agh.edu.pl/gaee/article/view/900Efficient File-Naming Convention for Data Exchange in Construction Industry2025-03-11T14:26:11+01:00Jędrzej Pasalskijpasalski@agh.edu.plTomasz Owerkoowerko@agh.edu.plDariusz Kaszniakasznia@agh.edu.plMaciej Wrzosekmwrzosek@agh.edu.plMaciej Rochelmrochel@agh.edu.plKamil Czerwkamilczerw@gmail.com<p>This paper aims to find common and universal naming convention for files to allow for the efficient exchange of data within the construction industry. Since building information management (BIM) has become a norm on the market and new technologies are rapidly driving the concept, there is a noticeable lack of unification in the deliveries of projects. The analysis focuses on exploring the most common naming conventions that have been mostly defined in the national standards and explores the widely adopted British National Annex 2 to BS EN ISO 19650-2:2018. Part of this research is a survey that was undertaken among professionals to understand the needs and habits that are related to file-naming. Furthermore, the ergonomics, comfort of use, and information capacity of the naming system were examined. Based on all of these, the authors suggest an optimal file-naming convention for building construction projects, which should help the industry in efficiency gains. In the future, there is the potential of developing a form to define project needs at the very start or tools for checking naming compliance with a proposed structure.</p>2025-05-12T00:00:00+02:00Copyright (c) 2025 Jędrzej Pasalski, Tomasz Owerko, Dariusz Kasznia, Maciej Wrzosek, Maciej Rochel, Kamil Czerw