| Title |
Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring |
| ID_Doc |
62294 |
| Authors |
Hunt, ER; Hively, WD; Fujikawa, SJ; Linden, DS; Daughtry, CST; McCarty, GW |
| Title |
Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring |
| Year |
2010 |
| Published |
Remote Sensing, 2, 1 |
| DOI |
10.3390/rs2010290 |
| 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. |
| Author Keywords |
unmanned aerial vehicle; UAV; green NDVI; leaf area index; Triticum aestivum; winter wheat |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000208401100013 |
| WoS Category |
Environmental Sciences; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology |
| Research Area |
Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging Science & Photographic Technology |
| PDF |
https://www.mdpi.com/2072-4292/2/1/290/pdf?version=1403129159
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