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The development of technology and the increasing availability of unmanned aerial vehicles (UAV) on the civil market, along with the growing offer of open−source software for modeling based on aerial photos open new possibilities for conducting analyzes of felling area. The research aims to present the use of UAVs in the analysis of the harvesting area, especially the distribution and condition of the network of skidding trails. The research covered 6 logging areas in the Gidle Forest District in south part of Poland. Flights and photo recording were made by using the DJI Phantom 4 Advanced UAV. The analysis was performed with the use of Open Drone maps and QGIS software. The research was based on the analysis of orthophotomosaics. Analyzing the obtained data, the real area of the clear−cuts was determined. The obtained values were compared with the values declared at the cutting planning stage. The area and location of the machine routes were determined. The obtained data were statistically analyzed in order to determine the significance of the differences. Also the correlation between the size of soil damage and the parameters of the analyzed area was tested. The differences between the area planned to be cut and actually cut were found, but they turned not to be significant. It was determined that the average length of skidding trails per 1 ha of the studied area is 0.89 km, while the distances between the trails varies from 4.04 to 24.44 m. On the tested clear−cuts there was a minimal presence of places where the soil was damaged in such a way that the mineral soil layer was exposed.
The use of forwarders during forest work enabled a significant increase in the efficiency of timber transport from the harvesting site to the place of temporary storage. Due to their efficiency and greater safety compared to older types of machines, a further increase in the use of these machines in Polish forests seems inevitable. The research was carried out in the Gidle Forest District (southern Poland). Measurements were carried out on 5 logging sites, where the wood transportation was carried out using a modified Ponsse Gazelle forwarder. These plots differed one from the other in the type of habitat as well as soil type and moisture. During research 7 transects were established. They were 30 m long each. On each transect changes of soil compactness were determined. The measurement was made before and after each 20 forwader passes. Soil penetration resistance was measured using the Ejkelkamp hand penetrometer. The analyses focused on left rut, right rut and in the middle between wheel ruts. On the examined sites soil samples were taken to determine the moisture changes associated with the machine passes. The statistically significant differences were found in the rate of soil compactness increase depending on the type of soil, and forest stand. Also statistically significant differences were observed in soil moisture between soil in skid trails and area without machine passes.
One of the most difficult technological operations in forest utilization is wood transport, especially its first stage i.e. extraction. This is related to the fact that the forest operations must be economically effective, but also safe for the forest environment. Difficult terrain conditions require determining and choosing the optimal variant of skidding. The most popular method for optimizing work is the use of working day photography. However, it is time−consuming and labor−intensive, that is why it is possible to use an alternative way of measuring working time, i.e. snapshot observations. It is therefore important to determine which measurement method is appropriate for the complicated and variable production processes in forestry. The aim of the research was to assess the accuracy of snapshots at intervals of 1 and 5 minute in relation to the stopwatch time study (which was a reference measurement), carried out for a two−stage wood logging in quasi−mountain terrain conditions of the Elbląg Upland (N Poland). It’s mountain like characteristics causes some difficulties in the forest works. Data for the study were collected in two periods – summer and winter. We did not prove statistically significant differences between the methods studied.
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