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Maroš Sedliak, Ivan Sačkov and Ladislav Kulla

Abstract

Remote Sensing provides a variety of data and resources useful in mapping of forest. Currently, one of the common applications in forestry is the identification of individual trees and tree species composition, using the object-based image analysis, resulting from the classification of aerial or satellite imagery. In the paper, there is presented an approach to the identification of group of tree species (deciduous - coniferous trees) in diverse structures of close-to-nature mixed forests of beech, fir and spruce managed by selective cutting. There is applied the object-oriented classification based on multispectral images with and without the combination with airborne laser scanning data in the eCognition Developer 9 software. In accordance to the comparison of classification results, the using of the airborne laser scanning data allowed identifying ground of terrain and the overall accuracy of classification increased from 84.14% to 87.42%. Classification accuracy of class “coniferous” increased from 82.93% to 85.73% and accuracy of class “deciduous” increased from 84.79% to 90.16%.

Open access

Vladimír Papaj, Maroš Sedliak and Ján Tuček

Abstract

The paper addresses the occurrence of incidental felling caused by wind in relation to selected morphometric characteristics. The investigation was conducted in the Nízke Tatry Mts. and Kozie chrbty Mts. (Slovakia) in the period of 1984–2003. A frequency of incidental felling in response to the elementary morphometric factors - altitude, slope and aspect – was evaluated. The assessment was based on the probability analysis. The results describe the probability of incidental felling occurrence in the prescribed categories of used morphometric factors across the study area. The most susceptible forest stands were found to be distributed in the elevation range from 731 – 1,120 m a.s.l. (48.13% of the research area); on slopes less than 58% (75.89% of the research area); with the aspect from 106 to 40° (53.06% of the research area). The proposed methodology can be used for the assessment of the effect of diverse factors on the occurrence of incidental felling caused by various forest disturbances. The results can be used as input data for risk models supporting forest management.

Open access

Ján Tuček, Róbert Sedmák, Andrea Majlingová, Maroš Sedliak and Susete Marques

Abstract

Project COST Action FP 0804 - FORSYS summarizes European experiences in developing and applying decision support systems for forest management. This paper introduces FORSYS methodology for the classification of current forest management problems and for the description of existing decision support systems. The paper identifies the general forestry planning problems that need to be solved in Slovakia, lists the DSS tools available in Slovakia and evaluate their ability for addressing the identified problems. Finally, the research needs and gaps in this field were identified. A comparison of the situation regarding decision support in Slovakia and both in Europe and neighbouring countries (Austria, Hungary) is introduced in order to justify the identified needs. The paper is focused on the overview of models, methods and knowledge management techniques which are available in Slovakia now. We found out that the Slovak decision support research follows the state in Europe with a significant time delay and a lack of adequate instruments for addressing the contemporary planning problems exists. Consequently, there is a strong need for the development and application of computer-based tools to support decision-making problems in forest management.