지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
With the diversification of research using UAV(Unmanned Aerial Vehicle)s, the possibility of remote sensing research for urban green spaces is increasing. UAVs can be used as an investigation method to monitor the successful construction of the park and the planting of vegetation since its creation. This study was carried out to investigate UAVs utilization of urban green space monitoring in Dosol Square. It was photographed three times on May 21, July 13, and September 16, 2018 using DJI Phantom3 pro, Inspire2, and Parrot Sequoia multispectral camera. Orthographic images were overlaid on the planting plan of the site and the construction results were checked, the change of vitality of the plantation area was analyzed by NDVI(Normalized Difference Vegetation Index) and SAVI(Soil Adjusted Vegetation Index). As a result, it was confirmed that the UAVs are very effective for surveying the view of the urban green space after the construction and recording the results, which can be grasped quantitatively by overlaying the planting plan map. UAVs are more likely to be used in terms of monitoring vegetation vitality. It is interpreted that SAVI is better than NDVI in the green space just after composition. Chionanthus retusus and Pinus strobus were analyzed for their low level of vitality, and partially damaged and their vitality was lowered. In addition, there was difficulty in grass planting area and flower garden due to drainage and summer drought problems. In the future, it is expected that orthoimage and multispectral data using UAVs will be useful in the early vegetation monitoring and management field of urban green spaces.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Selection of Optimal Vegetation Indices and Regression Model for Estimation of Rice Growth Using UAV Aerial Images
한국토양비료학회지
2017 .10
-
Seasonal and Diurnal Change of NDVI from UAV Imagery in Clear Day Condition
한국토양비료학회지
2018 .11
-
도시 내 열환경 분석에서 무인항공기의 활용가능성
한국조경학회지
2018 .01
-
Estimation for Red Pepper Growth by Vegetation Indices Based on Unmanned Aerial Vehicle
한국토양비료학회지
2018 .11
-
CPTED 요소로써 서울시 공원·녹지의 효과와 계획적 함의
한국조경학회지
2018 .01
-
Estimation of Rice Yield in Paddy Damaged by Rice Blast Using UAV Imagery
한국토양비료학회지
2022 .11
-
Study on Reflectance and NDVI of Aerial Images using a Fixed-Wing UAV “Ebee”
한국토양비료학회지
2016 .12
-
Research on the Accessibility of Urban Green Space Based on Road Network- A Case Study of the Park Green Space in City Proper of Nanjing
Journal of forest and environmental science
2016 .01
-
토지이용변화와 식생피복지수(FVC)의 상관관계에 관한 연구 - 부산광역시를 대상으로 -
한국정원디자인학회지
2023 .06
-
고정익 무인기 ebee의 항공영상 식생지수(NDVI) 산정 및 비교
한국토양비료학회 학술발표회 초록집
2016 .10
-
Characteristics of UAV Aerial Images for Monitoring of Highland Kimchi Cabbage
한국토양비료학회지
2017 .06
-
Monitoring Onion Growth using UAV NDVI and Meteorological Factors
한국토양비료학회지
2017 .08
-
Estimation of Rice Leaf Nitrogen Content and Yield using UAV Image
한국토양비료학회지
2020 .08
-
정밀 농업에서 비료 적용 개선을 위한 UAV 및 식생 지수 활용
한국토양비료학회 학술발표회 초록집
2024 .10
-
농업분야 무인항공기 영상 활용 동향: 리뷰 및 제안
Korean Journal of Agricultural Science
2015 .09
-
음식쓰레기를 활용한 비탈면 녹화기술의 식생기반재 배합비율에 관한 연구
환경복원녹화
2015 .01
-
시화공단 완충녹지의 11년간(2006~2017년) 식생변화 및 식생구조 연구
환경복원녹화
2018 .01
-
영국 녹지 정책과 녹지 평가 발달에 대한 이해: Green Flag Award를 중심으로
환경복원녹화
2019 .01
-
무인비행체 영상을 활용한 벼 수량 분포 추정
한국농공학회논문집
2019 .01
-
Estimation of Winter Wheat Nitrogen Content, Biomass and Yield using UAV Images in South Korea
한국토양비료학회지
2020 .11
이 논문의 저자 정보
최근 본 자료
댓글(0)
0