broj: 1-2/2017
pdf (12,21 MB) |
|
||||||||||||||
| RIJEČ UREDNIŠTVA | ||
| Uredništvo | ||
| WE EXPECT PROFESSIONAL UPGRADING IN FORESTRY pdf HR EN | 5 | |
| IZVORNI ZNANSTVENI ČLANCI | ||
| Ivan ANDRIĆ, Davorin KAJBA | UDK 630* 111.8 + 181.8 (001) https://doi.org/10.31298/sl.141.1-2.1 | |
| THE IMPACT OF ENVIRONMENTAL DRIVERS ON NARROW-LEAVED ASH (Fraxinus angustifolia Vahl) BUDBURST DATES pdf HR EN | 7 | |
| Ivan BALENOVIĆ, Ante SELETKOVIĆ, Renata PERNAR | UDK 630* 587 (001) https://doi.org/10.31298/sl.141.1-2.2 | |
| ACCURACY COMPARISON OF PHOTOGRAMMETRICALY ESTIMATED FOREST STAND ATTRIBUTES ON AERIAL IMAGES OF DIFFERENT SPATIAL RESOLUTION pdf HR EN | 15 | |
| Nedim TUNO, Admir MULAHUSIĆ, Jusuf TOPOLJAK, Alma ELEZOVIĆ | UDK 630* 582 (001) https://doi.org/10.31298/sl.141.1-2.3 | |
| POSITIONAL ACCURACY ASSESSMENT OF FOREST AREA BOUNDARIES OBTAINED BY OBJECT – ORIENTED CLASSIFICATION OF MULTISPECTRAL IMAGERY pdf HR EN | 29 | |
| Summary Knowledge about positional accuracy of forest geospatial information, obtained by interpretation of satellite imagery, is of great significance. The consequences of the decisions that are based on data with insufficient or unknown quality could be very negative. This paper investigates the accuracy of closed linear shapes that represented boundaries of forest cover. Forest areas are effectively extracted from Landsat image by implementing the process of multiresolution image segmentation (figure 4), using all bands. Multispectral classification of defined segments was performed by special rules. The results of object-oriented classification showed that an overall accuracy from 99 reference points was better than 90 % (table 1), which can be considered as a very good result. The number of forest polygons, obtained by satellite imagery classification, was reduced by 37 times by cartographic aggregation (figure 5). The Polynomial Approximation with Exponential Kernel (PAEK) method was used for cartographic smoothing of the forest polygons, which smoothes lines in relation to a softening tolerance (tolerances from 30 m to 180 m were used in this research) (figure 6). The positional accuracy assessment of the boundary of forest areas, based on procedure of comparing a tested lines to a reference lines, showed that the best results were obtained by PAEK smoothing with 150 m and 180 m tolerances (CMAS = 49 m, according to STANAG 2215) (tables 2 and 3, figure 8). The findings of this empirical research showed that cartographic generalization contributes to improvement of the forest boundaries accuracy, as well as the appropriate processing of the medium spatial resolution remotely sensed data can result in satisfactory quality of vector data. Key words: Landsat; object-oriented forest classification; cartographic generalization; positional accuracy | ||
| Adrienne ORTMANN-AJKAI, Gábor CSICSEK, Márió LUKÁCS, Ferenc HORVÁTH | UDK 630* 239 + 226 (001) https://doi.org/10.31298/sl.141.1-2.4 | |
| REGENERATION PATTERNS IN A PEDUNCULATE OAK (Quercus robur L.) STRICT FOREST RESERVE IN SOUTHERN HUNGARY pdf HR EN | 39 | |
| Gonca Ece ÖZCAN | UDK 630* 453 (001) https://doi.org/10.31298/sl.141.1-2.5 | |
| ASSESSMENT OF Ips sexdentatus POPULATION CONSIDERING THE CAPTURE IN PHEROMONE TRAPS AND THEIR DAMAGES UNDER NON-EPIDEMIC CONDITIONS pdf HR EN | 47 | |
| PRETHODNO PRIOPĆENJE | ||
| Alen BERTA, Vladimir KUŠAN, Josip KRIŽAN, Denis STOJSAVLJEVIĆ, Dalibor HATIĆ | UDK 630* 923 https://doi.org/10.31298/sl.141.1-2.6 | |
| ESTATE CHARACTERISTICS OF PRIVATE-OWNED FORESTS IN CROATIA ACCORDING TO REGIONS pdf HR EN | 57 | |