DOI QR코드

DOI QR Code

항공사진측량 품셈 개정을 위한 월별천후표 재계산

Recalculation of Monthly Weather Table for Construction Standard Cost Estimating on Aerial Photogrammetry

  • Song, DongSeob (Dept. of Earth and Environmental Engineering, Kangwon National University)
  • 투고 : 2019.12.24
  • 심사 : 2019.12.27
  • 발행 : 2019.12.31

초록

우리나라에서는 2006년부터 항공사진 촬영방식에 디지털 카메라를 도입한 이후 항공사진 촬영과 관련한 기술 패러다임이 아날로그 방식에서 디지털 방식으로 전환되고 있다. 그러나 현재 항공사진 촬영과 수치지도 제작에 대한 표준품셈은 아날로그 기반의 품셈과 디지털 기반 품셈이 혼재되어 활용되고 있다. 항공사진촬영과 관련한 품셈의 개정항목 중에서 월별천후표는 비행기의 운항일수 계산과 밀접한 관련이 있다. 현재의 월별천후표는 1999년부터 2007년 동안의 전운량 관측 자료를 이용하여 계산한 결과를 사용하고 있다. 본 연구에서는 2009년부터 2018년 동안의 전운량 관측 자료를 이용하여 월별천후표의 계산을 연구하였다. 결과적으로 29개의 동일한 지점에 대하여 신규 산출한 평균 쾌청일수는 기존의 50일에서 6일이 감소한 44일로 분석되었다. 최대 쾌청일수 감소는 진주에서 23일로 나타났으며, 최대 쾌청일이 감소한 달은 2월로 나타났다.

Since the introduction of digital cameras in an aerial-photogrammetry field on 2006, the technological paradigm related to the photogrammetry has been shifting from the analog types to digital types. However, current construction standard cost for the aerial-photogrammetry and the digital mapping are being mixed with analog-based concepts and digital-based methods. In the current standard cost, the monthly weather table is closely related to the calculation of the number of flying days in a taking of aerial photograph. The current monthly weather table uses the results calculated from the observation data of total cloud amount from 1999 to 2007. In this study, the monthly weather table was calculated using the total cloud data during ten years from 2009 to 2018. As a result, the newly calculated number of clear days for 29 stations was analyzed as 44 days decreased by 6 days. The maximum number of clear days decreased in Jinju as 23 days, and the highest decreased clearing days was February.

키워드

참고문헌

  1. Han, S.H. and Hong, C.K. (2017), Acquisition of subcentimeter GSD images using UAV and analysis of visual resolution, Journal of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 6, pp. 563-572. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2017.35.6.563
  2. Kim, B.Y., Jee, J.B., Jeong, M.J., Zo, I.S., and Lee, K.T. (2015), Estimation of total cloud amount from skyviewer image data, Journal of The Korean Earth Science Society, Vol. 36, No. 4, pp. 330-340. https://doi.org/10.5467/JKESS.2015.36.4.330
  3. Kim, Y.H., Koo, H.J., Nam, J.C., and Oh, S.N. (2004), Characteristics of sunshine and cloudiness in Seoul, Asia-Pacific Journal of Atmospheric Sciences, Vol. 40, No. 5, pp. 571-586. (in Korean with English abstract)
  4. Kim, Y.J., Oh, J.H., and Lee, C.N. (2017), Electric power line dips measurement using drone-based photogrammetric techniques, Journal of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 6, pp. 453-460. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2017.35.6.453
  5. KMA (2019), Past ground weather observation data system, Korean Meteorological Administration, http://www.weather.go.kr/weather/climate/past_cal.jsp (last date accessed: 18 December 2019)
  6. Lee, K.H. (2004), Domestic meteorological data analysis for aerial photographing, Master's thesis, Inha University, Incheon, Korea, 41p.
  7. Lee, K.H. and Cho, H.C. (2012), Analysis and calculation of hourly surface temperature based on typical meteorological data for major cities in Korea, Journal of the Korean Solar Energy Society, Vol. 32, No. 3, pp. 123-128. (in Korean with English abstract) https://doi.org/10.7836/kses.2012.32.3.123
  8. Lee, K.L., Han, Y.K., and Lee, W.J. (2018), Comparison of orthophotos and 3D models generated by UAV-based oblique images taken in various angles, Journal of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 36, No. 3, pp. 117-126. https://doi.org/10.7848/KSGPC.2018.36.3.117
  9. Lee, K.H., Yoo, H.H., and Geoff, J.L. (2010), Generation of typical weather data using the ISO Test Reference Year (TRY) method for major cities of South Korea, Building and Environment, Vol. 45, No. 4, pp. 956-963. (in Korean with English abstract) https://doi.org/10.1016/j.buildenv.2009.10.002
  10. NGII (2019), A study on actualizing of construction standard cost about digital image and digital Map, National Geographical Information Institute, Suwon, pp. 42.
  11. Shin, H.S., Um, J.S., and Kim, J.H. (2017), A study on damage scale tacking technique for debris flow occurrence section using drones image, Journal of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 6, pp. 517-526. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2017.35.6.517
  12. Sung, S.M. and Lee, J.O. (2017), Accuracy assessment of parcel boundary surveying with a fixed-wing UAV versus rotarywing UAV, Journal of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 35, No. 6, pp. 535-544. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2017.35.6.535
  13. Yoo, H.C., Lee, K.H., and Park, S.H. (2008), Analysis of data and calculation of global solar radiation based on cloud data for major cities in Korea, Journal of the Korean Solar Energy Society, Vol. 28, No. 4, pp. 17-24. (in Korean with English abstract)
  14. Yun, B.Y., Lee, J.W., and Lee, D.S. (2016), A study on the enactment of UAV standard estimating for applying in spatial information area, Journal of The Korean Cadastre Information Association, Vol. 18, No. 1, pp. 123-132.