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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