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ARS Home » Midwest Area » Wooster, Ohio » Application Technology Research » Research » Publications at this Location » Publication #339302
Title: A workflow for extracting plot-level biophysical indicators from aerially acquired multispectral imagery

Author
item Wallhead, Matthew
item Zhu, Heping
item SULIK, JOHN - Micasense, Inc
item STUMP, WILLIAM - University Of Wyoming

Submitted to: Plant Health Progress
Publication Type: Research Notes
Publication Acceptance Date: 4/18/2017
Publication Date: 5/12/2017
Citation: Wallhead, M.W., Zhu, H., Sulik, J., Stump, W. 2017. A workflow for extracting plot-level biophysical indicators from aerially acquired multispectral imagery. Plant Health Progress. 18(2):95-96.

Interpretive Summary:

Technical Abstract: Advances in technologies associated with unmanned aerial vehicles (UAVs) has allowed for researchers, farmers and agribusinesses to incorporate UAVs coupled with various imaging systems into data collection activities and aid expert systems for making decisions. Multispectral imageries allow for a quantitative assessment of biophysical indicators or plant health status. What is needed now is a standardized workflow for the quantitative assessment of plant biophysical indicators using low-altitude, high-resolution UAV-acquired multispectral imagery. With this need in mind, the authors developed and proposed a workflow for extracting plot-level vegetation index means from orthomosaics. As the use of UAVs and associated data collection activities expands, it will become increasingly important that data is being properly incorporated and utilized by agricultural professionals.