Remote Recognition and Growth Monitoring of Winter Wheat in Key Stages Based on S-G Filter in Guanzhong Region
The NDVI time series was constructed by using Savitzky-Golay filter method based on SPOT-VGT S10 product data.The temporal variation of the NDVI values during reviving stage and tasseling stage of winter wheat was obtained.The temporal variation of NDVI were applied for detecting the reviving stage and the tasseling stage of winter wheat in Guanzhong region in Shaanxi province.Compared with the field measurements,the prediction uncertainty of remote sensing approach was within 20d,and the corresponding RMSE values of reviving stage and tasseling stage were 14.29d and 9.16d,respectively.This meant remote recognition to winter wheat during reviving stage and tasseling stage based on SPOT-VGT data was available.Combing with HJ satellite data,the deference model was used to study the winter wheat growth in 2012,the results showed that the winter wheat growth in 2012 was better than 2011 in Weinan region,which was consistence with the in situ measurements.Based on HJ data,the satellite-derived spatial distributing veins of winter wheat growth were clear,and using the plant area of winter wheat extracted from the same satellite data as the mask to exclude the non-winter wheat region could reduce the uncertainty generated during the data re-sample procedure.The results indicated that HJ data was pronounced advantage for winter wheat growth monitoring.
NETL
NSTL
万方数据
维普
