최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기環境復元綠化 = Journal of the Korean Society of Environmental Restoration Technology, v.22 no.1, 2019년, pp.73 - 84
박현철 (공간생태연구소 라움) , 길승호 (강원대학교 생태조경디자인학과) , 서옥하 (강원대학교 생태조경디자인학과)
In this research, it is a basic study to investigate the population of birds using UAVs. The research area is Ardeidae species(ASP) habitat and has long-term monitoring. The purpose of the study is to compare the ASP populations which analyzed ground observational survey and UAVs imagery. We used DJ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
무인항공기의 활용 추세는? | 무인항공기(UAV; Unmanned Aerial Vehicle, 이하 드론이라고 함)는 최초 군사용으로 개발되었고 기체의 소형화, 고해상도 카메라, 다목적 센서 개발 등 관련 기술이 발전하면서 군사, 항측, 측량, 항공촬영 분야에 주로 이용되었으나 위성영상에 비해 실시간 자료 취득이 가능하여 기상관측, 재난대응, 지리정보, 농업 등 다방면의 활용도가 증가하는 추세이다(Austin, 2011; Koh and Wich, 2012; Zhang and Kovacs., 2012). | |
드론이 생태학 연구의 모니터링에 미친 영향은? | 특히 개체수 모니터링에서 드론의 활용은 지상육안관측에 비해 정확성이 높기 때문에 개체군 모니터링 방법이 지상관측에서 항공관측으로 변화하는 추세이다(Hodgson et al., 2016; 2018). | |
생태분 야의 드론 활용의 전망은? | , 2012). 특히 생태분 야의 드론 활용은 영상 분석을 통한 동물 개체수 분석, 식생분석(Berni et al., 2009; Laliberte and Rango, 2009; Vermeulen et al., 2013; Weissensteiner et al., 2015)에 활용되어 생태 모니터링 분야의 중요한 도구가 될 것으로 기대하고 있다(Getzin et al, 2012). 또한 드론에 대한 생태학 연구자들의 이해도가 높아지고 전통적인 조사방식에 비해 효율적, 장비휴대의 간편성, 연구목적에 적합한 데이터의 수집이 가능하기 때문에 생태학 연구에 활용도가 높아지고 있다(Anderson and Gaston, 2013). |
Anderson, K and K.J. Gaston. 2013. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment 11(3):138-146
Austin, R. 2011. Unmanned aircraft systems: UAVs design, development and deployment (Vol. 54). John Wiley & Sons
Berni, J.A..P. J. Zarco-Tejada.M. D. Suarez Barranco and E. Fereres Castiel. 2009. Thermal and narrow-band multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing 47(3):722-738
Brisson-Curadeau, E.D. Bird.C. Burke.D.A. Fifield.P. Pace.R.B. Sherley.K.H. Elliott. 2017. Seabird species vary in behavioural response to drone census. Scientific reports 7(1):17884
Chabot, D. and D.M. Bird. 2012. Evaluation of an off-the-shelf unmanned aircraft system for surveying flocks of geese. Waterbirds 35(1): 170-174
Chabot, D. and C.M. Francis. 2016. Computer-automated bird detection and counts in highresolution aerial images: a review. Journal of Field Ornithology 87(4): 343-359
Getzin, S..K. Wiegand and I. Schoning. 2012. Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles. Methods in Ecology and Evolution 3:397-404
Gilchrist, H.G. 1999. Declining thick-billed murre Uria lomvia colonies experience higher gull predation rates: an inter-colony comparison. Biological Conservation 87(1):21-29
Furness, R.W..J.J.D. Greenwood and P.J. Jarvis. 1993. Can birds be used to monitor the environment?. In Birds as monitors of environmental change. Springer. Dordrecht. pp.1-41
Hodgson, J.C..S.M. Baylis.R. Mott.A. Herrod and R. H. Clarke. 2016. Precision wildlife monitoring using unmanned aerial vehicles. Scientific reports. 6:22574
Hodgson, J.C..R. Mott.S.M. Baylis.T.T. Pham.S. Wotherspoon.A.D. Kilpatrick and L.P. Koh. 2018. Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution 9(5): 1160-1167
Koh, L.P and S.A. Wich. 2012. Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation. Tropical Conservation Science 5(2):121-132
Laliberte, A.S. and A. Rango. 2009. Texture and scale in object-based analysis of subdecimeter resolution unmanned aerial vehicle (UAV) imagery. IEEE Transactions on Geoscience and Remote Sensing 47(3): 761-770
Lindenmayer, D.B and G.E. Likens. 2009. Adaptive monitoring: a new paradigm for long-term research and monitoring. Trends in Ecology & Evolution 24(9):482-486
OpenDroneMap [Computer software]. 2017. Retrieved from https://github.com/OpenDroneMap/OpenDroneMap
Magurran, A.E..S.R. Baillie.S.T. Buckland. J.M. Dick.D.A. Elston.E.M. Scott and A.D. Watt. 2010. Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time. Trends in ecology & evolution 25(10): 574-582
Milstein, P.L..I. Prestt and A.A. Bell. 1970. The breeding cycle of the Grey Heron. Ardea. 58 (17):1-257
Mulero-Pazmany, M..S. Jenni-Eiermann.N. Strebel.T. Sattler.J.J. Negro and Z. Tablado. 2017. Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review. PloS one 12(6): e0178448
NIER. 2012. Egrets and herons in Korea. National Institute of Environmental Research: National Institute of Environmental Research Publishing (in Korean)
Pavlacky Jr, D.C..P.M. Lukacs.J.A. Blakesle y.R.C. Skorkowsky.D.S. Klute.B.A. Hahn.D.J. Hanni. 2017. A statistically rigorous sampling design to integrate avian monitoring and management within Bird Conservation Regions. PloS one 12(10): e0185924
R Core Team. 2017. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2016. Available from: www.rproject. org
Ruddock, M. and D.P. Whitfield. 2007. A review of disturbance distances in selected bird species. A report from Natural Research (Projects) Ltd to Scottish Natural Heritage 181
Sarda Palomera, F.G. Bota.N. Padilla.L. Brotons and F. Sarda. 2017. Unmanned aircraft systems to unravel spatial and temporal factors affecting dynamics of colony formation and nesting success in birds. Journal of Avian Biology 48(9):1273-1280
Schiffman, R. 2014. Drones flying high as new tool for field biologists. Science 344 (6183): 459
Schofield, G.K.A. Katselidis.M.K. Lilley. R.D. Reina and G.C. Hays. 2017. Detecting elusive aspects of wildlife ecology using drones: new insights on the mating dynamics and operational sex ratios of sea turtles. Functional ecology 31(12): 2310-2319
Thomas, L. 1996. Monitoring longterm population change: why are there so many analysis methods?. Ecology. 77(1): 49-58
Vas, E..A. Lescroel.O. Duriez.G, Boguszewski. D. Gremille. 2015. Approaching birds with drones: first experiments and ethical guidelines. Biology letters. 11(2): 2014075
Vermeulen, C..P. Lejeune.J. Lisein.P. Sawadogo and P. Bouche. 2013. Unmanned aerial survey of elephants. PloS one 8(2): e54700
Wich, S.A. and L.P. Koh. 2018. Conservation Drones: Mapping and Monitoring Biodiversity. Oxford University Press
Wilson, A.M.J. Barr and M. Zagorski. 2017. The feasibility of counting songbirds using unmanned aerial vehicles. The Auk 134(2): 350-362
Weissensteiner, M.H.J.W. Poelstra and J.B. Wolf. 2015. Low-budget ready-to-fly unmanned aerial vehicles: An effective tool for evaluating the nesting status of canopybreeding bird species. Journal of Avian Biology 46(4): 425-430
Zhang, C. and J.M. Kovacs. 2012. The application of small unmanned aerial systems for precision agriculture: a review. Precision agriculture 13(6): 693-712
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.