A Study of Quantitative Classification for Winter Wheat Growing Condition by Utilizing Satellite Remote Sensing Data in Shandong Province
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
Based on the correlation analysis of the remote sensing data of NOAA/AVHRR from 1989 to 1999 and the surface observations of wheat growing conditions at the twenty four stations in the same period, a model of quantitative classification for winter wheat growing condition in Shandong Province is developed. To eliminate the effects of different geographical locations on different development stages,the whole Shangdong province is divided into five ecotypes in order to establish the model individually.The model was successfully applied in the winter wheat condition classification in the year of 2000.