Browse > Article

The Trend Analysis of Vegetation Change Applied to Unsupervised Classification Over East Asia: Using the NDVI 10-day data in 1999~2010  

Kim, Sang-Il (부경대학교 대학원 공간정보시스템공학과)
Han, Kyung-Soo (부경대학교 환경해양대학 공간정보시스템공학과)
Pi, Kyoung-Jin (부경대학교 대학원 공간정보시스템공학과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.19, no.4, 2011 , pp. 153-159 More about this Journal
Abstract
Vegetative land cover is an important variable many Earth system process, general circulation and carbon exchange model requires vegetative cover as boundary layer necessary to run model. The purpose of this study is to detect and to understand land surface change. To monitor changes of East Asia vegetation, we used NDVI 10-day MVC data derived from SPOT VEGETATION during 12 years from 1999 to 2010. Finally, according to the land cover of classified class, we performed analysis for dynamic zone(positive change zone and negative change zone), static zone in 1999, 2010. Therefore, land covers corresponding to each class have appeared change by 2010. Land cover change was confirmed by analyzing data during 12 years which appeared vegetation change of surrounding the actual desert area to east.
Keywords
SPOT VEGETATION; NDVI; Dynamic Zone; Static Zone; Desert Area;
Citations & Related Records
연도 인용수 순위
  • Reference
1 염종민, 한경수, 김영섭, 2006, "정규식생지수(NDVI) 산출시 발생하는 노이즈 제거에 관한 연구", 대한원격탐사 학회 2006년도 춘계학술대회 논문집, 대한원격탐사학회, Vol.9, pp.113-116.
2 Bethany, A. B., Robert W. J., John F. H. and John F. M., 2006, "A curve fitting procedure to derive inter‐annual phenologies from time series of noisy satellite NDVI data", Remote sensing of environment, Vol.106(2), pp.137-145.
3 Cuomo, V., Lanfredi, M., Lasaponara, R., Macchiato, M.F., Simoniello, T., 2001. "Detection of inter‐annual variation of vegetation in middle and southern Italy during 1999-1999 with 1 km NOAA AVHRR", journal of Geophysical Research, Vol.106 (17), 863-917, 876.
4 Eidenshink, J. C. and Faundeen, J. L., 1994, "The 1 km AVHRR global land data set: first stages in implementation", International Journal of Remote Sensing, Vol.15, pp.3443-3462.   DOI   ScienceOn
5 Huemmrich, K.E., Black, T.A., Jarvis, P.G., McCaughey, J.H., Hall, E.G., 1999. "Remote sensing of carbon/water/energy parameters: high temporal resolution NDVI phenology from micrometeorological radiation sensors", journal of Geophysical Research, 104 (27), 935-1027, 944.
6 Lanfredi, M., Simoniello, T., Lasaponara, R., Cuomo, V. Macchiato, M.F., 2003. "Multiresolution spatial characterization of land degradation phenomena in Southern Italy from 1985 to 1999 using NOAAAVHRR NDVI data", journal of Geophysical Research, Vol.30, p.1069.
7 Myneni, R.B., Tucker, C.J., Asrar, G., Keeling, C.D., 1998. "Interannual variation in satellite sensed vegetation index data from 1981 to 1991", journal of Geophysical Research, Vol.103, pp.6145-6160.   DOI
8 Nemani, R., Running, S.W., 1996 "Implementation of a hierarchical global vegetation classification in ecosystem function models", Journal of Vegetation Science, Vol.7(3), pp.337-346.   DOI   ScienceOn
9 Reed, B. C., Brown, J. F., Vanderzee, D., Loveland, T. R., erchant, J. W., and Ohlen, D. O., 1994, "Measuring phenological variability from satellite imagery", Journal of Vegetation Science, Vol.5, pp.703-714.   DOI   ScienceOn
10 Schwartz, M. D., 1999, "Advancing to full bloom: Planning phenological research for the 21st century". International Journal of Biometeorology, Vol.42, pp.113-118.   DOI   ScienceOn