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Proceedings Paper

Multiple production forecasts of wheat in India using remote sensing and weather data
Author(s): Markand P Oza; Dhaniram Rajak; Nita Bhagia; Sujay Dutta; Sarweshwar P. Vyas; Naranbhai K. Patel; Jai Singh Parihar
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Paper Abstract

This paper describes the methodology adopted and results obtained during forecasting of national level wheat production in India using multi-date medium resolution Advanced Wide Field Sensor (AWiFS) data. Multidate, geometrically registered and radiometrically normalized Resourcesat-1 AWiFS data were classified using hierarchical decision rules, which exploited differential crop spectral profiles of various crops in winter season. Wheat acreage estimates were arrived by aggregation of stratified samples. Wheat yields were predicted for meteorological sub-divisions by correlation weighted weather regression models developed using fortnightly temperatures. Multiple preharvest wheat acreage and production forecasts were made with additional information on spatio-temporal crop growth performance in comparison to previous / normal season.

Paper Details

Date Published: 11 December 2006
PDF: 8 pages
Proc. SPIE 6411, Agriculture and Hydrology Applications of Remote Sensing, 641102 (11 December 2006); doi: 10.1117/12.693918
Show Author Affiliations
Markand P Oza, ISRO Space Applications Ctr. (India)
Dhaniram Rajak, ISRO Space Applications Ctr. (India)
Nita Bhagia, ISRO Space Applications Ctr. (India)
Sujay Dutta, ISRO Space Applications Ctr. (India)
Sarweshwar P. Vyas, ISRO Space Applications Ctr. (India)
Naranbhai K. Patel, ISRO Space Applications Ctr. (India)
Jai Singh Parihar, ISRO Space Applications Ctr. (India)


Published in SPIE Proceedings Vol. 6411:
Agriculture and Hydrology Applications of Remote Sensing
Robert J. Kuligowski; Jai S. Parihar; Genya Saito, Editor(s)

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