Biological Systems Engineering
ORCID IDs
J. Burdette Barker http://orcid.org/0000-0002-5100-4971
Brian D. Wardlow http://orcid.org/0000-0002-4767-581X
Christopher M. U. Neale http://orcid.org/0000-0002-7199-6410
Derek M. Heeren http://orcid.org/0000-0002-0222-5516
Date of this Version
2020
Citation
Published in Precision Agriculture; online 20 December 2019.
DOI: 10.1007/s11119-019-09701-6
Abstract
Unmanned aerial systems (UAS) for collecting multispectral imagery of agricultural fields are becoming more affordable and accessible. However, there is need to validate calibration of sensors on these systems when using them for quantitative analyses such as evapotranspiration, and other modeling for agricultural applications. The results of laboratory testing of a MicaSense (Seattle, WA, USA) RedEdge™ 3 multispectral camera and MicaSense Downwelling Light Sensor (irradiance sensor) system using a calibrated integrating sphere were presented. Responses of the camera and irradiance sensor were linear over many light levels and became non-linear at light levels below expected real-world, field conditions. Simple linear corrections should suffice for most light conditions encountered during the growing season. Using an irradiance sensor or similar system may not properly account for light variability in cloudy or partly cloudy conditions as also identified by others. A simple stand for aiding in reference panel imagining was also described, which may facilitate repetitive, consistent reference panel imaging.
Included in
Bioresource and Agricultural Engineering Commons, Environmental Engineering Commons, Other Civil and Environmental Engineering Commons
Comments
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