There are several options how to configure Web Map Service using several map servers. GeoServer is one of most popular map servers nowadays. GeoServer is able to read data from several sources. Very popular data source is ESRI Shapefile. It is well documented and most of software for geodata processing is able to read and write data in this format. Another very popular data store is PostgreSQL/PostGIS object-relational database. Both data sources has advantages and disadvantages and user of GeoServer has to decide which one to use. The paper describes comparison of performance of GeoServer Web Map Service when reading data from ESRI Shapefile or from PostgreSQL/PostGIS database.

SummaryThis work deals with separation of vegetation from 3D data acquired by Terrestrial Laser Scanning for detecting more complex geological structures. Separation of vegetation is not an easy task. In many cases, the outcrop is not clear and the vegetation outgrows the outcrop. Therefore the separation of vegetation from 3D data is a task which requires adjustment of algorithms from image processing and remote sensing. By using cluster analysis and analysis of spectral behaviour we can detect vegetation from the rest of the scene and erase these points from the scene for detection of geological structures

Dividing large areas into smaller sub-areas is a common practice across many disciplines, with specific requirements determined by their intended use. This study focuses on preparing search sectors for locating missing persons in non-urban environments. In such settings, search teams must be assigned sufficiently large yet homogeneous sectors that allow visual orientation even without GNSS. While general search strategies differ in their approach to area coverage, rural and wilderness environments pose unique challenges that demand a systematic method to ensure both navigability and efficiency. To address this, we propose a land-use-based approach that incorporates the artificial extension of linear geo-features to subdivide large polygons. The methodology was first applied to regions of the Czech Republic in 2020 and refined with advanced settings in 2023. Introducing the step for subdividing extensive homogeneous polygons significantly improved outcomes, allowing the method to generate search sectors of the desired size for 86% of the territory in 2020 and 91% in 2023. The main limitation lies in the reliance on cartographic data, which may omit fine details critical for field navigation.