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An optimal estimation technique for increasing the accuracy of crop forecasts by combining remotely sensed and conventional forecast results.

 

作者: P. C. PANDEY,   V. K. DADHWAL,   BALDEV SAHAI,   P. P. KALE,  

 

期刊: International Journal of Remote Sensing  (Taylor Available online 1992)
卷期: Volume 13, issue 14  

页码: 2735-2741

 

ISSN:0143-1161

 

年代: 1992

 

DOI:10.1080/01431169208904075

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

An optimal estimation (OE) technique has been used to increase the accuracy of crop acreage and yield estimates by combining results from remotely sensed (RS) data and conventional models. For crop acreage estimation the OE increased the accuracy of wheat acreage estimation when the first forecasts of the Directorate of Economics and Statistics (DES) were combined with state level RS estimates over the states of Haryana and Punjab in India.

 

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