ISSN : 2287-8327
This study tried to analyze error range and resolution of drone images using a rotary wing by comparing them with field measurement results and to analyze stands patterns in actual vegetation map preparation by comparing drone images with aerial images provided by National Geographic Information Institute of Korea. A total of 11 ground control points (GCPs) were selected in the area, and coordinates of the points were identified. In the analysis of aerial images taken by a drone, error per pixel was analyzed to be 0.284 cm. Also, digital elevation model (DEM), digital surface model (DSM), and orthomosaic image were abstracted. When drone images were comparatively analyzed with coordinates of ground control points (GCPs), root mean square error (RMSE) was analyzed as 2.36, 1.37, and 5.15 m in the direction of X, Y, and Z. Because of this error, there were some differences in locations between images edited after field measurement and images edited without field measurement. Also, drone images taken in the stream and the forest and 51 and 25 cm resolution aerial images provided by the National Geographic Information Institute of Korea were compared to identify stands patterns. To have a standard to classify polygons according to each aerial image, image analysis software (eCognition) was used. As a result, it was analyzed that drone images made more precise polygons than 51 and 25 cm resolution images provided by the National Geographic Information Institute of Korea. Therefore, if we utilize drones appropriately according to characteristics of subject, we can have advantages in vegetation change survey and general monitoring survey as it can acquire detailed information and can take images continuously.
We report the species of medicinal plants collected in Khuvsgul and Khangai Mountain regions of Mongolia. Of the vascular plants that occur in the study region, a total of 280 medicinal plant species belonging to 164 genera from 51 families are reported. Of these, we collected voucher specimen for 123 species between June and August in the years 2015 and 2016. The families Asteraceae (46 species), Fabaceae (37 species), and Ranunculaceae (37 species) were represented most in the study area, while Astragalus (21 species), Taraxacum (20 species), and Potentilla (17 species) were the most common genera found.
The ground beetles collected during the investigation period were nine subfamilies, 24 genera, 51 species, and 3504 ground beetles. Species richness was high in Pterostichinae has 24 species (47%), Harpalinae nine species (17.6%), Carabinae six species (11.8%), and Lebiinae three species (5.9%). Overall dominant species was Synuchus agonus, and dominance index was 0.361. Synuchus agonus was investigated as the dominant species in both Namcheon Valley and Geumseon Valley. Regarding subdominant species, it was Synuchus nitidus (52 individuals, 12.6%) and Synuchus cycloderus (52 individuals, 12.6%) in the order in Namcheon Valley, and it was Pterostichus orientalis orientalis (660 individuals, 21.3%) and Pterostichus audax (378 individuals, 12.2%) in the order in Geumseon Valley. Total species diversity index of ground beetles in Sobaeksan National Park was 2.917. By area, the number of collected ground beetles was smaller in Namcheon Valley than in Geumseon Valley. Sobaeksan National Park is located at the boundary of northern and southern parts in Korea and is a very important place in terms of geography and climate. Sobaeksan has been designated as a national park, and its ecosystem is relatively preserved well. If continuous investigation of basic data for ground beetles is conducted through long-term monitoring, the data can be used as key data to research mutual relationship with organisms, effects by climate change, and ecosystem change depending on human activities.