Multispectral aerial imagery, particularly that with bands in the near-infrared portion of the spectrum, has a long history of use in agricultural applications. The rapidly-expanding use of unmanned aerial vehicles (UAVs), also known as drones, has opened several new avenues for the use of multispectral image analysis in agriculture. UAVs allow for much greater flexibility and higher spatial resolutions than are attainable with manned aircraft or satellite sensors. They are also considerably less expensive to deploy over small areas. This paper will review the use of multispectral image analysis in classifying and measuring the stress of crops and vegetation in general. The particular strengths and weaknesses of UAV-collected imagery will also be reviewed.

Use of multispectral sensors and unmanned aerial vehicles for agricultural applications

ACS Fall 2020 Virtual Meeting

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