A Study on Corn Yield Estimation by Using NOAA Satellite Remote Sensing Data

doi:10.3321/j.issn:1000-7091.1996.04.019

Abstract

Abstract: The NOAA meteorological satellite scans a wider spatial band on earth in its every running cycle and the cycle time is shorter.So getting its remotely sensed data is easier.Through the analysis of ground spectral data during corn growth,the optimum time for corn yield estimation by remote sensing was obtained.By a f value deducted from RVI theory,the corrected spectral information reflecting the corn growth conditions was extracted from the satellite remotely sensed data.Depending all these studies,a corn yield estimating model by remote sensing method using NOAA data was established.In practical corn yield predication during the last 3 years,the errors from this model were all less than 5%.

Key words: Spectral difference, Yield estimation model, Corn growth information, Optimum time

CLC Number:

S513.01

Lin Yan. A Study on Corn Yield Estimation by Using NOAA Satellite Remote Sensing Data[J]. ACTA AGRICULTURAE BOREALI-SINICA, 1996, 11(4): 93-98. doi: 10.3321/j.issn:1000-7091.1996.04.019.

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