Helina Robineau-Desvoidy (어리가시집파리속, 신칭)은 집파리과(Muscidae) 가시집파리아과(Phaoniinae)에 속하는 큰 분류군 중 하나 로 전세계에 540여종이 기록되어 있다. 그러나 한국에서는 아직까지 기록이 이루어진 바가 없으며, 이번 연구를 통해 한국미기록속 Helina Robineau-Desvoidy 및 미기록종 H. deleta (Stein, 1914), H. evecta (Harris, 1780), H. subpubiseta Xue, 1986을 처음으로 보고한다. 또한, 분류 학적 정보, 형태학적 사진 및 검색표를 작성하였다.

Brachydeutera Loew, 1862(코주부물가파리속, 신칭)는 물가파리과, 물가파리아과에 속하는 작은 분류군이다. 지금까지 이 속에는 전 세계 적으로 16종이 기록되어 있으며, 모든 동물구계에서 발견되지만 아열대 및 열대 지방, 특히 아프리카와 아시아에서 종 다양성이 풍부하다. 본 연구 를 통해 Brachydeutera속을 국내 미기록종 B. meridionalis (Rondani, 1856)(코주부물가파리, 신칭)과 함께 처음으로 보고하며, 이 종에 대한 진단 형질, 형태학적 사진 및 생태사진을 제공하였다.

Smartphone camera quality has been progressing alongside the advancement of the smartphone market. Consequently, there has sparked interest in macro photography of insects using smartphones either through using built-in "macro mode" or accessories like macro lenses, mounts, and auxiliary lighting. However, some limitations have become apparent, including challenges in capturing small insects, a short focal distance of no more than 10 cm, a narrow focus range, and lower image quality compared to dedicated cameras. We introduce an effective knowhow to these problems when taking pictures of insects in the field using a smartphone. And it provides a manual for tele-macro photography in the field, and suggestions for the future direction of smartphone and accessory development.

The genus Brachydeutera Loew, 1862 is a small group of acalyptratae flies belonging to the subfamily Ephydrinae in the family Ephydridae. Up to now, 16 described species have been recorded worldwide, and although it occurs in all fauna regions, it is most diverse in the subtropics and tropics, particularly in Africa and Asia. This genus is recorded for the first time in the Korean fauna based on the discovery of a nominated species, Brachydeutera meridionalis (Rondani, 1856). Diagnoses, figures of morphological features, and an ecological photograph of the firstly recorded species are provided herein.

Recently, satellite image data has been widely used in various fields. Extraction of forest information is the field which has great application possibility. Forest type information can be used in forecasting and simulating soil erosion, landslides and debris flow as an important influence factor. Application of satellite imagery has advantages to obtain latest forest type information. NDVI calculated from near infra red band of satellite imagery represents vegetation activity, with seasonal difference of it forest type can be classified. In this study, we analyzed MODIS imagery from 2011 years to 2013 years in Gangwon-do where forest area is large and classified forest type with coniferous and deciduous forests. As a result, there was high correlation between forest type of digital map and it classified from NDVI. The possibility for extraction of forest type information from satellite imagery was confirmed.