무인항공기를 이용한 하천부유쓰레기 및 녹조 탐지 연구

Abstract

The object of this study is the effective utilizations of river environment management technology in the area of river reservoir water by using unmanned aerial photography with the technique to detect locations, and to develop algorithms on floating debris and algal blooms, respectively. Orthographic images were produced by flight and shooting of UAV in the floating debris detection areas(The section between the stanks of Dalsung and Gangjung-Goryeong) and in the 3 algal bloom detection areas(Water depots of Chilseo and Moegok, and Ferry of Dodongri). Spectral reflections were measured on floating debris around the river: vegetation(grassland, trees), artifact(concrete, structure etc.), stream water(fresh water, turbid water, algal bloom). The spectral library was classified the level of cover around the river according to national land cover classification standard, and was highly classified the level of river floating debris according to national marine debris classification standard, respectively. Cover around the river was comprised 13 middle classification levels and 43 low classification levels. Also, river floating debris was comprised household garbages with 13 items(plastic, styrofoam, metal, vegetation etc.). Considering on various materials and shapes of household garbage, then it was comprised 48 low classification levels according to 13 colors. The algal bloom detection index formula was calculated using the spectroscopic analysis for algal bloom and fresh water. Analysis on the in-situ sampling and water quality data were performed to verify the results of the algae bloom detection in aerial images. As a result, the correlation between the values of algal bloom detection index and the values of the in-situ algal concentration showed a strong positive(+) relationship. In other words, confirmed that the monitoring method of algae bloom using unmanned aerial vehicle can be use for river water quality environment management. The ortho imagery that can calculate the floating debris detection areas was produced by using aerial photograph of UAV, and floating debris detection formula was calculated using spectroscopic pattern of the vegetable and styrofoam. And It was possible to detect the floating debris and styrofoam from applications of both the combination of bands that using index formula and the experiential threshold value.