Remote Sens. 2010, 2(1), 290-305; doi:10.3390/rs2010290
Article

Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring

Received: 8 November 2009; in revised form: 1 December 2009 / Accepted: 6 January 2010 / Published: 11 January 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Payload size and weight are critical factors for small Unmanned Aerial Vehicles (UAVs). Digital color-infrared photographs were acquired from a single 12-megapixel camera that did not have an internal hot-mirror filter and had a red-light-blocking filter in front of the lens, resulting in near-infrared (NIR), green and blue images. We tested the UAV-camera system over two variably-fertilized fields of winter wheat and found a good correlation between leaf area index and the green normalized difference vegetation index (GNDVI). The low cost and very-high spatial resolution associated with the camera-UAV system may provide important information for site-specific agriculture.
Keywords: unmanned aerial vehicle; UAV; green NDVI; leaf area index; Triticum aestivum; winter wheat
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MDPI and ACS Style

Hunt, E.R., Jr.; Hively, W.D.; Fujikawa, S.J.; Linden, D.S.; Daughtry, C.S.T.; McCarty, G.W. Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring. Remote Sens. 2010, 2, 290-305.

AMA Style

Hunt ER, Jr, Hively WD, Fujikawa SJ, Linden DS, Daughtry CST, McCarty GW. Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring. Remote Sensing. 2010; 2(1):290-305.

Chicago/Turabian Style

Hunt, E. Raymond, Jr.; Hively, W. Dean; Fujikawa, Stephen J.; Linden, David S.; Daughtry, Craig S. T.; McCarty, Greg W. 2010. "Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring." Remote Sens. 2, no. 1: 290-305.

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