Based On NDVI Time Series And Phenological Essential Information In Paddy Rice Area Extraction Research

Along with the rapid development of spectral instrument, the multiple remote sensing data which it provided accelerates domestic and foreign to the crops extraction method research speed. With the free, composed multi-temporal MODIS images have gradually become the advantages of national grain equal emphasis of crop planting area of statistics. However, the existence of bad data itself have seriously restricted the data analysis results of the study, especially on MODIS-NDVI time series analysis has great influence, causing the classification accuracy is not high. This study adopts an advanced filter processing methods-SG smoothing filter to improve data. From the results can be obtained:the methods by removing the noise of composed multi-temporal MODIS images, won't cause the loss of data in detail information, more important is TIMESAT after processed image contains all the key information phenology features. Through it with the NDVI time series union analysis, may achieve the precise discrimination different crops the goal.Based on the reconstruction of NDVI time series analysis, we can be on the typical residential buildings, wafer to eliminate, then we will emphatically on wheat,rice,forest on key phenology information comparative study. Using different crops growth cycle, the growth margin, growth and growing NDVI maximum length of each are not identical, Using different crops growth cycle, the growth margin, growth and growing NDVI maximum length of each are not identical, adopts advanced decision tree to carry on the classified rule training, then we can got the rice planting area and spatial distribution. Finally, through many kinds of methods carry on qualitative and the quantitative evaluation to the area, and obtains 98.6% high accuracy. Not only this has satisfied the country to the wide range in the crops forecast request, moreover this method has the very strong practical application value.