Estimating Optimal-Band of NDVI and GNDVI by Vegetation Reflectance Characteristics of Crops.

  • Shin, Hyoung-Sub (Dept. of Agricultural & Rural Engineering, Chungbuk National University) ;
  • Park, Jong-Hwa (Dept. of Agricultural & Rural Engineering, Chungbuk National University) ;
  • Park, Jin-Ki (Dept. of Agricultural & Rural Engineering, Chungbuk National University) ;
  • Kim, Seong-Joon (Dept. of Civil and Environmental System Engineering, Konkuk University) ;
  • Lee, Mi-Seon (Dept. of Rural Engineering, Konkuk University)
  • Published : 2008.10.29

Abstract

Information on the area and spatial distribution of crop fields is needed for biomass production, arrangement of water resources, trace gas emission estimates, and food security. The present study aims to monitor crops status during the growing season by estimating its aboveground biomass and leaf area index (LAI) from field reflectance taken with a hand-held radiometer. Field reflectance values were collected over specific spectral bandwidths using a handheld radiometer(LI-1800). A methodology is described to use spectral reflectance as indicators of the vegetative status in crop cultures. Two vegetation indices were derived from these spectral measurements. In this paper, first we analyze each spectral reflectance characteristics of vegetation in the order of growth stage. Vegetation indices (NDVI, GNDVI) were calculated from crop reflectance. And assess the nature of relationships between LAI and VI, as measured by the in situ NDVI and GNDVI. Among the two VI, NDVI showed predictive ability across a wider range of LAI than did GNDVI. Specific objectives were to determine the relative accuracy of these two vegetation indices for predicting LAI. The results of this study indicated that the NDVI and GNDVI could potentially be applied to monitor crop agriculture on a timely and frequent basis.

Keywords