DOI QR코드

DOI QR Code

Analysis of Crop Damage Caused by Natural Disasters in UAS Monitoring for Smart Farm

스마트 팜을 위한 UAS 모니터링의 자연재해 작물 피해 분석

  • Received : 2020.11.16
  • Accepted : 2020.12.09
  • Published : 2020.12.31

Abstract

Recently, the utility of UAS (Unmanned Aerial System) for a smart farm using various sensors and ICT (Information & Communications Technology) is expected. In particular, it has proven its effectiveness as an outdoor crop monitoring method through various indices and is being studied in various fields. This study analyzes damage to crops caused by natural disasters and measures the damage area of rice plants. To this end, data is acquired using BG-NIR (Blue Green_Near Infrared Red) and RGB sensors, and image analysis and NDWI (Normalized Difference Water Index) index performed to review crop damage caused by in the rainy season. Also, point cloud data based on image analysis is generated, and damage is measured by comparing data before and after the typhoon through an inspection map. As a result of the study, the growth and rainy season damage of rice was examined through NDWI index analysis, and the damage area caused by typhoon was measured by analysis of the inspection map.

최근 다양한 센서 및 정보통신 기술(ICT: Information & Communications Technology)을 융합·활용한 스마트 팜을 위한 UAS (Unmanned Aerial System)의 활용성이 기대되고 있다. 특히, 다양한 지수를 통한 실외 작물 모니터링 방안으로 효용성이 입증되며 여러 분야에서 연구되고 있다. 본 연구는 벼를 대상으로 자연재해 작물 피해를 분석하고 피해량을 계측하는 것이다. 이를 위해, BG-NIR (Blue Green_near Infrared red) 및 RGB 센서를 통해 데이터를 획득하고 영상해석 및 NDWI (Normalized Difference Water Index) 지수를 활용하여 장마에 의한 작물 피해를 검토한다. 또한, 영상해석 기반 포인트 클라우드 데이터를 생성, 인스펙션 맵을 통해 태풍 전·후 데이터를 비교하여 피해량을 계측한다. 연구결과, NDWI 지수 분석을 통해 벼의 생장 및 장마 피해를 검토하였고, 인스펙션 맵 분석으로 태풍에 의한 피해 면적을 계측하였다.

Keywords

References

  1. Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S. and Gregoire, J.M. (2001) Detecting vegetation leaf water content using reflectance in the optical domain, Remote Sensing of Environment, Vol. 77, No. 1, pp. 22-33. https://doi.org/10.1016/S0034-4257(01)00191-2
  2. Crossley, M.N., Dennison, W.C., Williams, R.R. and Wearing, A.H. (2002) The interaction of water flow and nutrients on aquatic plant growth, Hydrobiologia, Vol. 489, No. 1, pp. 63-70. https://doi.org/10.1023/A:1023298302557
  3. Gao, B.C. (1996) NDWI a normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, Vol. 58, No. 3, pp. 257-266. https://doi.org/10.1016/S0034-4257(96)00067-3
  4. Hwang, Y.S. and Um, H.S. (2015) Monitoring the desiccation of inland wetland by combining MNDWI and NDVI: a case study of upo wetland in south korea, Journal of Korea Spatial Information Society, Vol. 23, No. 6, pp. 31-41. https://doi.org/10.12672/ksis.2015.23.6.031
  5. Kim, S.j., Hong, S.J., Jung, W.Y., Kim, D.G., Um, H.R. and Cho, H.M. (2019) Establishment of Standards for Calculating Damage to Crops in Natural Disasters, Service Report, Ministry of Agriculture, Food and Rural Affairs, Sejong Special Self-Governing City.
  6. Lee, G.S. (2017), The analysis of evergreen tree area using UAV-based vegetation index, Journal of Cadastre & Land InformatiX, Vol. 47, No. 1, pp. 15-26. https://doi.org/10.22640/lxsiri.2017.47.1.15
  7. Lee, Y.C. (2018) Vegetation monitoring using unmanned aerial system based visible, near infrared and thermal images, Journal of Cadastre & Land InformatiX, Vol 48, No. 1, pp. 71-91. https://doi.org/10.22640/LXSIRI.2018.48.1.71
  8. Lee, G.S. and Choi, Y.W. (2019), Accuracy assessment of crop vegetation index using UAV image data, Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography-2019, 11-12 September, Gwangju, Korea, pp.211-212.
  9. Lee, Y.C. and Kang, J.O. (2019) The precise three dimensional phenomenon modeling of the cultural heritage based on UAS imagery, Journal of Cadastre & Land InformatiX, Vol. 49 No. 1, pp. 85-101. https://doi.org/10.22640/LXSIRI.2019.49.1.85
  10. Mcfeeters, S.K. (1996) The use of normalized difference water index (NDWI) in the delineation of open water features, International Journal of Remote Sensing, Vol. 17, No. 7, pp. 1425-1432. https://doi.org/10.1080/01431169608948714
  11. Ryu, J.O. (2015) Organic Rice Cultivation, Report, Sangji University, Department of Green Plants_Organic Ecology, Gangwon.
  12. Seong, N.H., Seo, M.J., Lee, K.S., Lee, C.S., Kim, H.J., Choi, S.W., and Han, K.S. (2015) A water stress evaluation over forest canopy using NDWI in korean peninsula, Korean Journal of Remote Sensing, Vol. 31, No. 2, pp. 77-83. https://doi.org/10.7780/kjrs.2015.31.2.3
  13. Wolf P. and Dewitt B. (2000), Elements of Photogrammetry with Application in GIS., McGraw Hill, New York, N.Y.