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Title: Airborne and satellite imagery for mapping crop yield variability and other precision agriculture applications

Author
item Yang, Chenghai
item Everitt, James
item Bradford, Joe
item Anderson, Gerald

Submitted to: Asian Conference on Precision Agriculture
Publication Type: Proceedings
Publication Acceptance Date: 11/30/2009
Publication Date: 12/28/2009
Citation: Yang, C., Everitt, J.H., Bradford, J.M., Anderson, G.L. 2009. Airborne and satellite imagery for mapping crop yield variability and other precision agriculture applications. Asian Conference on Precision Agriculture. CDROM.

Interpretive Summary: This paper gives an overview on the use of airborne multispectral and hyperspectral imagery and high resolution satellite imagery for mapping crop growth and yield variability. The methodologies for image acquisition and processing and for the integration and analysis of image and yield data are discussed. Application examples are provided to illustrate how airborne multispectral and hyperspectral imagery and high resolution satellite imagery are used for crop yield estimation. Some of the challenges and prospects on the use of remote sensing imagery for yield mapping and other precision agriculture applications are discussed.

Technical Abstract: With increased use of precision agriculture techniques, information concerning within-field yield variability is becoming important for effective crop management. Despite the commercial availability of yield monitors, most of the harvesters are not equipped with them. Moreover, yield monitor data can only be used for after-season management. Remote sensing imagery obtained during the growing season has the potential not only for after-season management, but also for within-season management. This paper gives an overview on the use of airborne multispectral and hyperspectral imagery and high resolution satellite imagery for mapping crop growth and yield variability. The methodologies for image acquisition and processing and for the integration and analysis of image and yield data are discussed. Application examples are provided to illustrate how airborne multispectral and hyperspectral imagery and high resolution satellite imagery are used for crop yield estimation. Some of the challenges and prospects on the use of remote sensing imagery for yield mapping and other precision agriculture applications are discussed.