AIRBORNE AND SATELLITE IMAGERY FOR MAPPING CROP YIELD VARIABILITY AND OTHER PRECISION AGRICULTURE APPLICATIONS
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.
Hyperspectral Imagery Multispectral Imagery Precision Agriculture Satellite Imagery Yield Estimation
Chenghai Yang James H.Everitt Joe M.Bradford Gerald L.Anderson
U.S. Department of Agriculture,Agricultural Research ServiceKika de la Garza Subtropical Agricultura U.S. Department of Agriculture,Agricultural Research Service Kika de la Garza Subtropical Agricultur
国际会议
北京
英文
1-9
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）