Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of Relationship between Vegetation Indices and Crop Yield using KOMPSAT (KOreaMulti-Purpose SATellite)-2 Imagery and Field Investigation Data

KOMPSAT-2 위성영상과 현장 측정자료를 통한 식생지수와 수확량의 상관관계 분석

  • 이지완 (건국대학교 대학원 사회환경시스템공학과) ;
  • 박근애 (건국대학교 대학원 사회환경시스템공학과) ;
  • 조형경 (건국대학교 대학원 사회환경시스템공학과) ;
  • 이규호 (충북대학교 대학원 지역건설공학과) ;
  • 나상일 (충북대학교 대학원 지역건설공학과) ;
  • 박종화 (충북대학교 지역건설공학과) ;
  • 김성준 (건국대학교 사회환경시스템공학과)
  • Received : 2011.02.22
  • Accepted : 2011.05.25
  • Published : 2011.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study refers to the derivation of simple crop yield prediction equation by using KOMPSAT-2 derived vegetation index. For a 1.25 ha small farm area located in the middle part of South Korea, the KOMPSAT-2 panchromatic and multi-spectral images of 31th August 2008, 17th November 2008, and 10th September 2009 were used. The field spectral reflectance during growing period for the 6 crops (rice, potato, corn, red pepper, garlic, and bean) were measured using ground spectroradiometer and the yield was investigated. Among the 6 vegetation indices (VI), the NDVI and ARVI between measured and image derived showed high relationship with the coefficient of determination of 0.85 and 0.95 respectively. Using the 3 years field data, the NDVI and ARVI regression curves were derived, and the yields were tried to compare with the maximum VIs value.

Keywords

References

  1. Allen J. D., 1990. A Look at the Remote Sensing Applications Program of the National Agricultural Statistics Service, Journal of Official Statistics 6(4): 393-409.
  2. Doraiswamy, P, C., Akhmedov, B.. Beard, L., Stern, A. and Mueller, R. 2007, OPERATIONAL PREDICTION OF CROP YIELDS USING MODIS DATA AND PRODUCTS, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences Special Publications.
  3. Gitelson, A., Y. J. Kaufman, and M. N. Merzlyak. 1996. Use of green channel in remote ng of global vegetation from EOS-MODIS Remote Sensing of Environment 58: 289-298. https://doi.org/10.1016/S0034-4257(96)00072-7
  4. Huete, A. R., 1996. A Soil-adjusted Vegetation Index (SAVI), Remote Sensing of Environment 25: 295-309.
  5. Jung I, K. and Kim, S. J., 2003. Comparison of DEM Preprocessing Method for Efficient Watershed and Stream Network Extraction. Journal of the Korean Society of Civil Engineers 23(3D): 393-400 (in Korean).
  6. Kaufman, Y. J. and D. Tnare., 1992. Atmospherically Resistant Vegetation Index (ARVI) for EOS-MODIS, IEEE Transactions on Geoscience and Remote Sensing 30(2): 261-270. https://doi.org/10.1109/36.134076
  7. Kim, B. S., 2010. A Pilot Study on Estimating Rice Acreage with Satellite Images, Korea Rural Economic Institute (in Korean).
  8. Kim, C. S., 2008, A Study on the Remote Sensing Technology of Agricultural Statistics Survey. KyungPook National University (in Korean).
  9. Lee, M. S., Kim, S. J., Shin, H. S., Park, J. K, Park, J. H. 2009. Extraction of Agricultural Land Use and Crop Growth Information using KOMPSAT-3 Resolution Satellite Image. Korean Journal of Remote Sensing 25(5): 411-421 (in Korean). https://doi.org/10.7780/kjrs.2009.25.5.411
  10. Lillseand, T. M. and Kiefer, R. W., 2000, Remote sensing and image interpretation 4th ed., Jojn Wiley and Sons.
  11. Park, J. H. and S. I. Na, 2005. Estimating the vegetation indices for field crops using a spectral reflectance technique. Journal of Agriculture Science Chungbuk National University 22(1): 101-105 (in Korean).
  12. Prasad, A. K, R. P. Singh, V. Tare, and M. Kafatos, 2007. Use of vegetation index and meteorological parameters for the prediction of crop yield in India, International Journal of Remote Sensing 28(23): 5207-5235. https://doi.org/10.1080/01431160601105843
  13. Qi. J., F. Cabot, M. S. Moran and G. Dedieu, 1995, "Biophysical Parameter Estimations Using Multidirectional Spectral Measurements", Remote Sensing of Environment 57: 71-83.
  14. Rouse, J. W., R. H. Hass, J. A. Schell, and D. W. Deering, 1974. Monitoring vegetation systems in the Great Plains with ERTS, Proceedings. Third Earth Resources Technology Satellite-1 Symposium, Greenbelt, NASASP-351, 1974. 301-317.

Cited by

  1. Applicability of Vegetation Indices from Terra MODIS and COMS GOCI Imageries vol.55, pp.6, 2013, https://doi.org/10.5389/KSAE.2013.55.6.047