Cultivated terraces are phenomena that have been protected in some areas for both their cultural heritage and food production purposes. Some terraced areas are disappearing but could be revitalised. ...To this end, recognition techniques need to be developed and terrace registers need to be established. The goal of this study was to recognise terraces using deep learning based on Lidar DEM. Lidar data is a valuable resource in countries with overgrown terraces. The U-net model training was conducted using data from the Slovenian terraces register for southwestern Slovenia and was subsequently applied to the entire country. We then analysed the agreement between the terraces register and the terraces recognised by deep learning. The overall accuracy of the model was 85%; however, the kappa index was only 0.22. The success rate was higher in some regions. Our results achieved lower accuracy compared to studies from China, where similar techniques were used but which incorporated satellite imagery, DEM, as well as land use data. This study was the first attempt at deep learning terrace recognition based solely on high-resolution DEM, highlighting examples of false terrace recognition that may be related to natural or other artificial terrace-like features.
This work discusses the historical development of landscape typologies of Slovenia, focusing on methodology, terminology, criteria for the division of territory, and landscape type hierarchy. It ...presents all five macrotypologies of Slovenia created between 1946 and 2013, Slovenia’s classification in nine selected macrotypologies of Europe produced between 1995 and 2016, and eight examples of microtypologies of smaller areas of Slovenia made between 1985 and 2020. It compares and evaluates similar typologies. If, in addition to the landscape typology, a geographical regionalization was also produced, common points are sought between the two. The macrotypologies and microtypologies of Slovenia are accompanied by an original and updated map.
Karst landscapes have an abundance of enclosed depressions. Many studies have detected depressions and have calculated geomorphometric characteristics with computer techniques. These outcomes are ...somewhat determined by the methods and data used. We aim to highlight the applicability of high-resolution relief laser scanning data in geomorphological studies of karst depressions. We set two goals: geomorphometrically to characterize depressions in different karst plateaus and to examine the influence of data preprocessing and detection methods on the results. The study was performed in three areas of the Slovene Dinaric Karst using the following steps: preprocessing digital elevation models (DEMs), enclosed depression detection, calculating geomorphometric characteristics, and comparing the characteristics of selected areas. We discovered that different combinations of methods influenced the number and geomorphometric characteristics of depressions. The range of detected depressions in the three areas were 442–491, 364–403, and 366–504, and the share of the depressions’ area confirmed with all the approaches was 23%, 29%, and 47%, which resulted in different geomorphometric properties. Comparisons between the study areas were also influenced by the methods, which was confirmed by the Mann–Whitney test. We concluded that preprocessing of high-resolution relief data and the detection methods in karst environments significantly impact analyses and must be taken into account when interpreting geomorphometric results.
Based on digital data on relief, rock, and vegetation, the most significant elements of the internal structure of Slovenian landscapes and at the same time of their external appearance, a geographic ...information system and verification in the field were used to create several natural landscape typologies of Slovenia with a varying number of types. The most generalized typology is based on the spatial overlap of four relief, seven lithological, and seven vegetation units. It has twenty-four landscape types: four flat, eleven low hilly, six hilly, and three mountainous types.
Based on digital data on relief, rock, and vegetation, the most significant elements of the internal structure of Slovenian landscapes, and their external appearance, a geographic information system ...was used to calculate landscape diversity of Slovenia. Areas with high landscape diversity are landscape hotspots, and areas with low landscape diversity are landscape coldspots. One-tenth of Slovenia with the highest landscape diversity was defined as landscape hotspots, and one-tenth of Slovenia with the lowest landscape diversity was defined as landscape coldspots. Most landscape hotspots are located in the Alpine part of Slovenia (more than two-thirds of their total area), and most landscape coldspots in the Dinaric part of Slovenia (almost half of their total area).
In several European countries, land use changes can be analysed on the basis of the Franciscan Cadastre. Present land use data is defined on the basis of orthophotos, but the historical data is ...available only at a parcel level. Therefore, a question arose as to how reliable results about land use changes can be. The main aim of the paper was to analyse land use dynamics with the Franciscan Cadastre and to test the compatibility of detailed and parcel level of modern data. The study was carried out by calculating land use structure and landscape metrics for a part of the Pannonian low-hills area in Slovenia. We have observed that the calculation of the land use type structure mostly provided similar results regardless of the level of detail. On the other hand, the results of landscape metrics analysis were highly affected by the level of detail. The analysis at the parcel level showed that the forest area expanded, and fields and vineyards areas diminished. In general, today’s landscape is made of less patches, but they are larger and of more irregular shapes. We can conclude that a comparison of modern data and historical data based on Franciscan Cadastre must include generalisation to a parcel level.
This paper assesses the effects of agricultural payments on changes in farmland bird diversity in Slovenia. Diversity was measured by Shannon index, while the impacts were estimated with the ...first-difference estimator on panel data for municipalities with and without special protection areas for birds. The effects of agricultural payments on farmland biodiversity require that the balance of financial instruments be taken into account when the agricultural policy is being drafted. The effects of payments in municipalities with and without special protection areas indicate the need to consider the landscape perspective and adapt schemes to landscape type while preparing the national agricultural policy.
Increasingly severe hydrological extremes are predicted for the Pannonian Basin as one of the consequences of climate change. The challenges of extreme droughts require the adaptation of agriculture ...especially during the intense growth phase of crops. For dryland farming, the selections of the optimal land use type and sustainable agricultural land management are potential adaptation tools for facing the challenges posed by increased aridity. To this end, it is indispensable to understand soil moisture (SM) dynamics under different land use types over drought-affected periods. Within the framework of a Slovenian–Hungarian project, soil moisture, matric potential and rainfall time series have been collected at three pilot sites of different land use types (pasture, orchards and a ploughland) in SW Hungary since September 2018. Experiments were carried out in soils of silt, silt loam and clay loam texture. In the summers (June 1 to August 31) of 2019 and 2022, we identified normal and dry conditions, respectively, with regard to differences in water balance. Our results demonstrated that soil moisture is closely controlled by land use. Marked differences of the moisture regime were revealed among the three land use types based on statistical analyses. Soils under pasture had the most balanced regime, whereas ploughland soils indicated the highest amplitude of moisture dynamics. The orchard, however, showed responses to weather conditions in sharp contrast with the other two sites. Our results are applicable for loamy soils under humid and subhumid temperate climates and for periods of extreme droughts, a condition which is expected to be the norm for the future.
Supervised and unsupervised classification methods can be a useful tool in determining various geographical spatial divisions, especially regionalizations and typifications. Because Slovenia is ...geographically very diverse, its divisions are a particularly significant and interesting research challenge. The main objective of this article is to determine the effectiveness of unsupervised classification methods, and therefore we compare the well-established landscape typology of Slovenia from 1996 with landscape typologies that were modeled using various unsupervised classification methods. Our results show that landscape typologies modeled using unsupervised classification methods deviate more from the original landscape typology of Slovenia than landscape typologies modeled using random and expert-supervised classification methods.
One of the methods of water resource management is to construct small retention ponds. Within the framework of the “Possible ecological control of flood hazard in the hilly regions of Hungary and ...Slovenia“ project the management of small ponds and their impact on flood prevention were studied in selected catchments. Data on pond management were gathered from interviews with pond owners. In a pilot study, we conducted an inventarisation and classification of all retention ponds. Primarily they were constructed for more specific use: fishing, irrigation, watering livestock. These functions have been gradually replaced by leisure-time activities, aesthetics, and tourism. Spring, stream and rainfall-fed ponds prevail in the pilot area and reduce the flood risk. Due to the increased variability of precipitation patterns ponds are also becoming an important measure to limit drought consequences at a local level.
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