Journal
REMOTE SENSING
Volume 2, Issue 1, Pages 290-305Publisher
MDPI AG
DOI: 10.3390/rs2010290
Keywords
unmanned aerial vehicle; UAV; green NDVI; leaf area index; Triticum aestivum; winter wheat
Categories
Funding
- Cooperative Research and Development Agreement (CRADA)
- IntelliTech Microsystems, Inc. (Bowie, MD, USA)
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available