Jan Bojko

Bio: Jan Bojko is an academic researcher. The author has contributed to research in topics: Forest inventory & Multispectral image. The author has an hindex of 1, co-authored 1 publications receiving 15 citations.

Forest vulnerability zones in the Czech Republic

Abstract: The accompanying Main Map shows forest vulnerability zones calculated for the Czech Republic, covering a total area of almost 79,000 km2. Calculating forest vulnerability zones over such a large area requires a unique approach due to its complexity. The map includes additional information on forest areas and topography. The model of forest vulnerability zones (FVZ) constitutes an alternative to existing zones of forest health hazard caused by emissions. It was created based on subjective classification of existing incidence of damage in forests. Moreover, the model of forest vulnerability zones estimates the risk of forest health degradation caused by abiotic factors.

Using Multispectral Imagery from UAV to Derive Selected Forest Inventory Parameters

Abstract: The following article deals with the usage of Unmanned Aerial Vehicles in the forest inventory. The main goal is to obtain general information about certain forest areas based on deriving data from UAV captured multispectral images. Parameters like the number of individual trees plus their species classification and health condition evaluation are obtained via the usage of deep learning techniques. Additional parameters, like crown diameter, are calculated too based on the segmentation of the digital elevation model. Used techniques are described, evaluated and further development proposed.

Using a fuzzy inference system to delimit rural and urban municipalities in the Czech republic in 2010

Abstract: Due to the suburbanisation process, it is becoming more difficult to properly define rural and urban areas in the Czech Republic. This delimitation problem has been intensively studied in Europe, including the Czech Republic, for decades, but only so-called ‘crisp’ rules have been set for the categorisation of urban and rural. This is no longer satisfactory because of substantial population movements. Our research focuses on applying fuzzy set theory to the delimitation of rural and urban areas and on the subsequent advanced cartographic visualisation. We used the principles of fuzzy regulation, or fuzzy inference systems, on socio-economic data to show the transitional character of municipalities. The generated Main map is at scale of 1:500,000, whereas secondary maps are at scale of 1:2,500,000. Map visualisation of municipalities in the Czech Republic provides a very unique combination of geographical information science, cartography and modern geo-computational methods. Information perception via a ma...

Modelling of Climate Conditions in Forest Vegetation Zones as a Support Tool for Forest Management Strategy in European Beech Dominated Forests

Abstract: The regional effects of climate change on forest ecosystems in the temperate climate zone of Europe can be modelled as shifts of forest vegetation zones in the landscape, northward and to higher elevations. This study applies a biogeographical model of climate conditions in the forest vegetation zones of the Central European landscape, in order to predict the impact of future climate change on the most widespread tree species in European deciduous forests—the European beech (Fagus sylvatica L.). The biogeographical model is supported by a suite of software applications in the GIS environment. The model outputs are defined as a set of conditions - climate scenario A1B by the Special Report on Emission Scenarios (SRES) for a forecast period, for a specified geographical area and with ecological conditions appropriate for the European beech, which provide regional scenarios for predicted future climatic conditions in the context of the European beech’s environmental requirements. These predicted changes can be graphically visualized. The results of the model scenarios for regional climate change show that in the Czech Republic from 2070 onwards, optimal growing conditions for the European beech will only exist in some parts of those areas where it currently occurs naturally. Based on these results, it is highly recommended that the national strategy for sustainable forest management in the Czech Republic be partly re-evaluated. Thus, the presented biogeographical model of climate conditions in forest vegetation zones can be applied, not only to generate regional scenarios of climate change in the landscape, but also as a support tool for the development of a sustainable forest management strategy.

Design of Experiment

Abstract: A well-designed and constructed experiment will be robust under questioning, and will focus criticism on conclusions [1], rather than potential experimental errors [2]. A sound experimental design should follow the established scientific protocols and generate good statistical data [3]. As an example, experiments on an industrial scale can cost millions of dollars. Repeating the experiment because it had poor control groups [4], or insufficient samples for a statistical analysis, is not an option. For this reason, the design phase is possibly the most crucial.

Climatic regions of the Czech Republic

Abstract: The map created represents the result of an application of Quitt's Climate Classification to a dataset of climatic characteristics of the Czech Republic from 1961 to 2000. The Quitt's climatic classification is based on dividing a territory into climate regions (units) according to complex climatological characteristics. These units represent specified classes defined by the combination of values of 14 climatological characteristics. All units are included in three basic climatic regions: warm, moderately warm and cold. The classification is popular as it allows the definition on a single map of site boundaries where there are changes in climatic characteristics. There are 17 climatic units (from a 23 possible units) recognized for the given time period in the Czech Republic. The study includes an assessment of compliance of the resulting map with the actual values of selected meteorological characteristics. The map provides a comprehensive overview of climatic characteristics for the Czech Republic.