ABSTRACT This study aimed to model a high‐precision map for cross‐country small autonomous vehicle—unmanned ground vehicle (UGV) movements across various terrains. It explores the compound influence of diverse terrain characteristics—including slope, indices (terrain ruggedness index [TRI], vector measure [VRM], local relief [LRM]), soil conditions, land cover classes, and road networks—on UGV passability. The two primary objectives are creating passability with resolution 0.1 m valorizing...

Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency accurate data remote and large areas (macro medium locations). There are different methodologies available identify the most suitable location installation power generators. One approaches that employ Multi-Criteria Analysis method Municipality Knjaževac (East Serbia) combining Analytic Hierarchy Process (AHP) Geographic Information Systems. Collection creation geospatial research...

Vegetation plays an active role in ecosystem dynamics, and monitoring its patterns changes is vital for effective environmental resource management. This study explores the possibility of machine learning techniques remote sensing data to improve accuracy forest detection. The research focuses on southeastern part Republic Serbia as a case area, using Sentinel-2 multispectral bands. employs publicly accessible satellite incorporates different vegetation indices classification accuracy. main...

In the past two decades, South part of Serbia has been affected by exploitive and illegal logging. As this trend is not decreasing to day, there a need determine area where logging occurred precisely. The consequences these actions are tremendous, causing forest owners’ financial loss (regardless whether it private or state property) negative impact on environment. Significant environmental management problems deriving from erosion increase more frequent torrential floods occurrence in...

Wildfire has been one of the most dangerous environmental stressors nowadays. It is an important disturbance where ecosystem biomass burned and organisms are damaged or killed by fire. Therefore, detecting monitoring this stressor great importance. During last decades, extensive forest fires have spread in Southern Europe, they registered Serbia as well. year 2007, several significant were Stara Planina Svrljiške Planine Mountains. The aims study to detect land cover changes for studied site...

Soil erosion is a global environmental and economic problem that significantly related to land-use changes. Over the last decades, several mountain areas in Serbia were exposed strong human pressure caused by winter tourism development. The largest ski center situated on Kopaonik Mountain within boundaries of National Park, where conflict between conservation goals rapidly growing. In this study, we calculated sedimentation surface runoff three sub-basins area resort for two years (1984...

Introduction/purpose: Decades of dealing with unexploded ordnance (UXO) in some areas the Republic Serbia have confirmed that it presents a substantial hazard to security people, property, and environment. Even though terrain has been cleaned, various threats from difficult-tofind UXO components remain serious. Inadequate systemic solutions for management can significant harmful consequences. Methods: Based on spatial distribution analysis different types quantities, this article studies...

Tourism is an indicator and the consequence of development many countries. Among priority areas tourism strategy are high mountain with complex ecosystems. Mountain in Serbia, as well continental country one leading forms through various projects stimulated by state. In last ten years, build up expand ski slopes Stara planina eastern to various, mostly negative changes environment. This paper analyzes forest site Babin Zub years 2000 2013, using satellite imagery (Landsat 7 Landsat 8) remote...

Machine learning, as a specific domain within artificial intelligence, opens new horizons for both theoretical and experimental research in remote sensing, particularly satellite imagery classification. This study focuses on applying machine learning methods, specifically decision trees support vector machines, to classify images. The analysis uses the SAGA GIS software LANDSAT 8 OLI Level 2A Satellite image classification encompasses two primary groups of computer operations: unsupervised...

As urbanization continues to increase, changes in the ecological characteristics of urban areas are becoming more reasonable meet needs a growing population. However, profound impact human-induced pressures on land, often called “billing impact”, is strongly emphasized research publications. In many cases, contemporary anthropogenic processes alter dynamics environmental functions complex ways. Urban regions particular climate regime characterized by increased air temperatures compared...

This research presents a comprehensive analysis of the production terrain passability maps in southeastern Serbia, employing multi-criteria decision-making (MCDM) analysis. The study integrates various geographical and infrastructural aspects, assigning coefficients to each input parameter, including rivers, roads, rails, CORINE Land Cover (CLC), soil, slope, Topographic Ruggedness Index (TRI). introduction TRI marks an innovative advancement passability. By comparing wet dry periods,...

Abstract This study integrates aerial LiDAR data and 2D cartographic information to rapidly develop an advanced non‐photorealistic rendering (NPR) model for rural environment analysis. The focus is enhancing decision support in crises assessing potential hazards these territories. methodology involves capturing from high altitudes classifying it as Ground, Vegetation, Buildings. integration of this with information, augmented attribute a GIS database, achieved through semi‐automatic process....

This study investigates the resolution threshold limits of terrain passability maps, determining their applicability for unmanned ground vehicle (UGV) navigation and usability larger, human-operated vehicles. The research compares effectiveness high-resolution data, including 0.1 m Digital Terrain Models (DTM) derived from LiDAR photogrammetric point clouds, with medium- to low-resolution satellite imagery Elevation (DEMs). focus is on identifying at which maps remain effective UGVs lower...

The construction of the Pan-European Corridor 10 is one major projects in Republic Serbia, and it enters final phase. A vast natural area suffered a significant change to complete project therefore existence need monitor those changes. Nature requires adequate accurate detection environmental stresses which inevitably arise after implementation such large projects. Conversely traditional field monitoring environment, this paper will present remote sensing method includes usage European Space...

Due to its unique geology, relief, and extensive hydrologic network, Mount Rogozna has been chosen as a case study for the quantification of geodiversity. The consists two interconnected parts. first part demonstrates application geodiversity evaluation method using index, whereas second deals with geoheritage objects studied area. methodology calculating index that was applied in this research modified due size is calculated based on number abiotic elements roughness relief within Rogozna,...

Continuous environmental mapping has never been more necessary because of the fast-paced lifestyle, technology development, climate change. Monitoring changes in environment become one most important tasks today to understand those and take measures coordinate sustainable development with emerging natural socio-economic events. Remote sensing combined cartography gives us opportunity obtain current information on state react suitably order reduce damage a minimum accordance development.