Volume XXXIX-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 525-528, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-525-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 525-528, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-525-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 Jul 2012

30 Jul 2012

GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS

H. Shimoda and K. Fukue H. Shimoda and K. Fukue
  • Tokai University Research and Information Center, 2-28-4 Tomigaya, Shibuya-ku, Tokyo 151, Japan

Keywords: Global, Land Cover, Classification, Algorithms, Multi-temporal, Multi-spectral

Abstract. The objective of this study is to develop high accuracy land cover classification algorithm for Global scale by using multi-temporal MODIS land reflectance products. In this study, time-domain co-occurrence matrix was introduced as a classification feature which provides time-series signature of land covers. Further, the non-parametric minimum distance classifier was introduced for timedomain co-occurrence matrix, which performs multi-dimensional pattern matching for time-domain co-occurrence matrices of a classification target pixel and each classification classes. The global land cover classification experiments have been conducted by applying the proposed classification method using 46 multi-temporal(in one year) SR(Surface Reflectance 8-Day L3) and NBAR(Nadir BRDF-Adjusted Reflectance 16-Day L3) products, respectively. IGBP 17 land cover categories were used in our classification experiments. As the results, SR product and NBAR product showed similar classification accuracy of 99%.