Remote sensing plays a vital role in analyzing urban changes. In this regard, various datasets collected from satellites today serve as a foundation for decision-makers and urban planners. This study compares the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Built-up Index (NDBI) as indicators for the creation of surface heat islands. Using Landsat 8 OLI/TIRS C2 L2 images, spatial correlations between land surface temperature (LST) were examined for August 2013, 2019 and 2023. Urban heat islands (UHI) are a contemporary phenomenon and increasingly common in large urban areas compared to surrounding, less populated areas. With the advancement in remote sensing, it is possible to adequately determine the spatial differentiation and prevalence of urban heat islands (UHI). The study is based on Landsat 8 satellite image sets for the Sarajevo basin in August 2013, 2019 and 2023, which were used to analyze LST, NDVI, and NDBI indices. This work indicates a relationship between LST and NDVI but varies depending on the analyzed year. Normalized Difference Built-up Index (NDBI) serves as a suitable indicator for surface UHI effects and can be used as an indicator to assess its spatial distribution within a larger urban environment.

UAV technologies provide a time- and cost-efficient framework for a variety of environmental monitoring domains. It also increases data resolution and provides new insights into observed objects and phenomena, especially within the difficult-to-access and complex for monitoring aquatic habitats. The objective of this study was to develop UAV-based acquisition and GIS-based image processing guidelines for aquatic macrophyte detection and monitoring in large temperate rivers. According to the European standard CEN EN -14184:2014, the assessment of aquatic macrophytes should be performed using the transect approach. Large rivers, such as the Danube, represent an exception and should be evaluated using 1km transects. Therefore, seven transects of the Middle Danube in Serbia were simultaneously surveyed using traditional field methods and novel UAV technology. UAV images were acquired using RGB and multispectral cameras carried by a fixed-wing drone. The images were processed and orthomosaics were classified using Object Based Image Analysis (OBIA), to create digital GIS maps of the river transects. During the traditional monitoring approach, the relative abundance of 22 macrophyte species was recorded along the transects. Using the UAV technology and OBIA approach eight macrophyte classes were distinguished based on dominant macrophyte taxa or plant life form traits. Aquatic macrophytes were 'almost perfectly' distinguished from the orthomosaics, achieving a high classification accuracy of 96 % / 88 % / 0.84 for RGB and 94 % / 97 % / 0.95 Producers /Users accuracy/Kappa index for the multispectral approach. Individual macrophyte classes accuracy varied between 0.5 and 1 Kappa and were generally higher for the multispectral imagery approach. Although the resolution of the taxonomic data is lower, UAV monitoring provided the necessary spatial context of macrophytes distribution and absolute area occupied by macrophytes. It also provided information on the diversity and distribution of habitats along the river. Therefore, the UAV-assisted monitoring approach described in this study can be effectively integrated into macrophyte monitoring during large river expeditions such as the JDS.

We explored the long-term influence of land use in the riparian zone on the water quality of the Tisza River, as a model of a non-wadeable lowland river located in a temperate, predominantly agricultural landscape. The analysis was based on a comparison of water quality variables between three river sites having contrasting, but constant land use patterns (in 500 m upstream radius) during the study period (2006-2019). While the first river site was characterized primarily by forests, the second and the third were dominated by urban and agricultural areas respectively. The variables which showed a significant difference between the pairs of sampling sites were oxygen saturation, nitrite nitrogen, total nitrogen, and orthophosphates. In contrast to urban and agricultural land, riparian forests showed a positive long-term influence on the river water quality. Natural and seminatural forests and shrubs had a favorable long-term influence on nutrient concentrations and oxygen regime of the Tisza River. However, the retention effects of orthophosphates and nitrite/nitrate content here were relatively low, demonstrating the limited performance of riparian buffers as a main or only management option in the Pannonian landscape, as the agricultural hotspot of Central and Eastern Europe. In conclusion, the riparian buffer assessment design applied in this study may be successfully used in pre-restoration monitoring, prior to the construction of buffer strips.

The paper describes the possible etymological development of the oikonym Vogošća, the name of one of the nine municipalities of Sarajevo Canton, Bosnia and Herzegovina. Although the first traces of human presence in the area of Vogošća date back to the Neolithic period, its wider surroundings started being inhabited in Antiquity — first by the Illyrians who, in the early 1st century AD, were defeated by the Romans. The oldest records of this oikonym are found in the 15th and 17th centuries Ottoman cadastral books. Based on these defters, written in sijakat, a variety of the Arabic script, the form of the settlement name may be restored as Gogošta, Ogošta, Vgošta or Vogošta. These forms should be compared with other toponyms that prove both linguistically and geographically approximate, namely with the oikonym Ogošte (Ogošta, Hogošt) in Kosovo and the hydronym Ogosta in Bulgaria. It is assumed that the oikonym Vogošća goes back to the anthroponym August and that the etymological development is as follows: August + suffix -jь + suffix -a > Agọšta > Ogošta > Vogošta. Based on this etymological development, the authors conclude that the basis of this oikonym derives from the Slavic possessive adjective with the meaning ‘Augustʼs,’ the form Vogošća being thus an elliptical toponym. The authors discuss the phonetic changes in the course of this etymological development and provide historical evidence to substantiate the deanthroponymic formation of the oikonym Vogošća: based on the archaeological excavations, it is assumed the Roman military unit Augusta VIII or its veterans were located in the area of Sarajevo.

Abstract The aim of this research is to segment foreign tourists to Sarajevo based on the frequency of visits in order to make a distinction between first-time and repeat foreign tourists. The purpose is to discover if repeat foreign tourists have more positive intention to revisit and recommend Sarajevo, if they have more positive attitude towards overall satisfaction with tourist destination and if they have more positive opinion about the general quality of this tourist destination offer than first-time foreign tourists. The study used a quantitative approach for research. The survey sample is a convenience sample of 250 foreign tourists who visited Sarajevo during the winter (from December 10, 2018 to January 31, 2019). To achieve scientific relevance, during the analysis and interpretation of the obtained data, descriptive statistics and Mann–Whitney U test were used. The results showed that there was no statistically significant difference, and that first-time and repeat foreign tourists had the same intention of recommending Sarajevo, had a positive attitude towards the overall satisfaction of the tourist destination and had the same opinion about the general quality of this tourist destination offer. The results also indicated that repeat foreign tourists had more positive intention to revisit Sarajevo.

Solar ultraviolet (UV) radiation is a significant health hazard in the warm part of the year. In order to assess the level of hazard and the effects of UV radiation on the living world, long-term measured or estimated data are needed. In Novi Sad, the measurement of UV radiation has been performed since 2003, while ozone measurements have been made since 2007. However, those data sets are too short for assessing long-term biological effects. Therefore, several techniques for reconstruction of UV radiation doses have been developed. Reconstruction techniques are based on using available ground-based measurements of the meteorological data and satellite measurements of the total ozone column. It is shown that techniques that use ozone data show better performance than those that use only ground-based meteorological measurements. However, the difference between the performances of the methods is smaller when it comes to the monthly values, indicating that the techniques which use only ground-based meteorological measurements are roughly as good as the ozone-based techniques for assessing long-term changes in the surface UV radiation. The statistically significant increasing long term-trend of annual mean erythemal UV doses ( ERY ) and the decreasing trend in the total ozone column in Novi Sad since 1981 have been noticed. An increase in ERY has been noticed in all the seasons except in autumn and it is the highest in winter. The analysis showed that the increase in the ERY in the period 1981–1996 was mainly caused by the total ozone column, while the increase after 1996 is largely caused by cloudiness.

The use of geospatial technology at lower levels of education has become a global tendency. However, Bosnia and Herzegovina is a country that is virtually uncharted in this regard, and the present paper has the main purpose to change that fact. Results of a survey conducted among geography teachers place this country within the entry category. Different attitudes among various groups of teachers (based on gender, age and regional distribution) have also been tested. Although the general hypotheses could not be confirmed, certain specific differences have been found, such as in the use of virtual globes, theoretical knowledge of GIS and willingness to attend educational training courses.

The position of regional geography in the system of geographical sciences is a topic that has been the subject of intense epistemologically and methodologically focused discussion within scientific realm at the global level since the middle of the 20th century. The initial outcome of these processes at the academic level was the marginalization of regional geography in the study of spatial phenomena, but since then there was a partial revitalization of the regional approach. In view of these changes, the place of regional geography within geographical education also began to be problematized. In this paper, it is conducted a critical review of selected academic articles from the last few decades that at least in a certain segment touch on this topic, as well as analysis of recent trends in school geography. This analysis suggests that it is difficult to find an adequate replacement for regional content, especially in the geographical education at lower levels of education, and that in many countries it still represents the basis or at least an important part of the geographical curriculum. However, at the same time, the need for change of teaching approach based on the excessive so-called regional inventory of space, by introducing general geographical concepts in the study of regional units of various levels, and putting them in the service of the development of critical thinking in students.

The purpose of this paper was to choose an appropriate information dissimilarity measure for hierarchical clustering of daily streamflow discharge data, from twelve gauging stations on the Brazos River in Texas (USA), for the period 1989–2016. For that purpose, we selected and compared the average-linkage clustering hierarchical algorithm based on the compression-based dissimilarity measure (NCD), permutation distribution dissimilarity measure (PDDM), and Kolmogorov distance (KD). The algorithm was also compared with K-means clustering based on Kolmogorov complexity (KC), the highest value of Kolmogorov complexity spectrum (KCM), and the largest Lyapunov exponent (LLE). Using a dissimilarity matrix based on NCD, PDDM, and KD for daily streamflow, the agglomerative average-linkage hierarchical algorithm was applied. The key findings of this study are that: (i) The KD clustering algorithm is the most suitable among others; (ii) ANOVA analysis shows that there exist highly significant differences between mean values of four clusters, confirming that the choice of the number of clusters was suitably done; and (iii) from the clustering we found that the predictability of streamflow data of the Brazos River given by the Lyapunov time (LT), corrected for randomness by Kolmogorov time (KT) in days, lies in the interval from two to five days.

In this paper, the authors work on the basis of the present knowledge, especially in the interest of realization of the concept of long-term development of tourism, to point out the need and representational basis for the separation of tourist-geographic regions of Bosnia and Herzegovina. The basis of the functional tourist and economic regionalization of Bosnia and Herzegovina served the concept of separation of tourist-geographical regions. The research of tourism development of the Tuzla region within this work requires the spatial definition, ie the demarcation of the tourist region in the area of ​​Northern Bosnia. During the delimitation of the Tuzla tourist region, the former geo-tourist and economic concepts of the Northeast Bosnia-Herzegovina regionalization were taken into account with six proposals being made. For this purpose, a geographic analysis was carried out and proposals for certain corrections of the former physiognomic boundaries and the spatial coverage of regional units of the first and second level were made, along with the established guidelines for further research in this field. During the field research conducted, the emphasis was placed on the detailed attribution of tourism potential and their role in spatial organization and tourism development. Motives and goals basically come down to the need to establish a more effective coordination of tourism development at the Tuzla tourist region, linking tourism destinations, to a range of common development issues, and achieving greater efficiency of the overall economic development. This paper provides a short analysis of the areas where there are tourism resources and facilities with the dominant function of tourism, i.e. in which tourism can become a dominant economic activity.

Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural variability of solar irradiation is being complicated by atmospheric conditions (in particular cloudiness) and orography, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the years 2013, 2014 and 2015 at 11 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use a set of novel quantitative tools: Kolmogorov complexity (KC) with its derivative associated measures and Hamming distance (HAM) and their combination to assess complexity and corresponding predictability. We find that all half-day (from sunrise to sunset) solar irradiation series exhibit high complexity. However, all of them can be classified into three groups strongly influenced by trade winds that circulate in a “flow around” regime: the windward side (trade winds slow down), the leeward side (diurnal thermally-induced circulations dominate) and the coast parallel to trade winds (winds are accelerated due to Venturi effect). We introduce Kolmogorov time (KT) that quantifies the time span beyond which randomness significantly influences predictability.