Fusion of multispectral imagery and spectrometer data in UAV remote sensing for precision farming

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Remotely sensed imagery obtained from satellite systems has proven capabilities in agriculture management applications at a variety of scales from national and provincial crop type mapping to more regional application in crop condition/damage assessment, yield estimation and soil moisture monitoring. Satellite-based imagery, however, is limited by image resolution, cost, and flexibility. The highest resolution satellite imagery (~1.2 m multispectral pixels) is costly and appropriate image acquisition timing is not easy to achieve given cloud cover and competing imagery orders. Emerging uninhabited aerial vehicle (UAV) technologies are inexpensive and can be deployed quickly and flexibly by the user or through contracts. For precision agriculture applications at the individual farm scale, very high spatial resolution and temporal flexibility are required. Imaging sensors placed on UAVs can achieve pixel sizes of less than 10cm and data acquisition can be customized to farmers' needs.