한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제51권4호
  • /
  • Pages.37-42
  • /
  • 2009
  • /
  • 1738-3692(pISSN)
  • /
  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
권호 표지
DOI QR코드

DOI QR Code

Daum 이미지와 QuickBird 위성영상에 의한 NIR 밴드 추출과 정규화식생지수 (NDVI)에의 적용

NIR Band Extraction for Daum Image and QuickBird Satellite Imagery and its Application in NDVI

  • 나상일 (충북대학교 농업생명환경대학 지역건설공학과) ;
  • 박종화 (충북대학교 농업생명환경대학 지역건설공학과)
  • 발행 : 2009.07.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This study extracted Near Infrared (NIR) band using Image Processing Technology (IPT), and calculated Normalized Difference Vegetation Index (NDVI). Aerial photography from Daum portal in combination with high resolution satellite image was employed to improve vegetation sensitivity by extracting NIR band and calculating NDVI with comparison to QuickBird result. The extracted NIR band and NDVI through IPT presented similar distribution pattern. In addition, a regression analysis by land cover character showed high correlation paddy and forest Therefore, this approach could be acceptable to acquire vegetation environment information.

키워드

참고문헌

  1. Daum maps Skyview web-service homepage: Http:// local.daum.net. Accessed 9 Mar. 2009
  2. Gordon, H. R., and B. A. Franz, 2008. Remote sensing of ocean color: Assessment of the water-leaving radiance bidirectional effects on the atmospheric diffuse transmittance for SeaWiFS and MODIS intercomparisons, Remote sensing of environment 112(5): 2677-2685 https://doi.org/10.1016/j.rse.2007.12.010
  3. Lee, J. J., M. Shinozuka, and S. J. Cho, 2006. Remote Sensing of Bridge Displacement Using Digital Image Processing Techniques, Advanced nondestructive evaluation I: 404-409 https://doi.org/10.4028/www.scientific.net/KEM.321-323.404
  4. Ohkura, H., S. Uehara, S. Yazaki, and T. Kumagai, 1994. Application of multiple satellite data to the study of natural disasters. Advances in space research : the official journal of the Committee on Space Research. The Committee by Pergamon Press
  5. Short, N. M., Remote Sensing Tutorial, 2007. : Http://rst.gsfc.nasa.gov. Accessed 6 Apr. 2009
  6. Zhang, C., X. Wang, and Y. Shao, 2005. Estimated Evapotranspiration Based on NOAA Data in the Yellow River Delta, Resources science 27(1): 86-91
  7. Zhong, L., H. Ma, and H. Xu, 2008. The design and implementation of a remote sensing image processing system based on grid middleware [7146-83], International Conference on GeoInformatics ; Geoinformatics 2008 and Joint Conference on GIS and Built Environment, 7146-2C