Using unmanned aerial systems in academic research /

The use of unmanned aerial systems (UASs) for collecting data has become increasingly popular across a range of domains. However, it has still been difficult for researchers interested in incorporating this tool into their research toolbox due to a lack of introductory knowledge and expected data qu...

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Bibliographic Details
Main Authors: Gallaway, Douglas (Author), Stine, Roy S. (Author), Nave, Jerry Wayne (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2022.
Series:SAGE research methods cases.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:The use of unmanned aerial systems (UASs) for collecting data has become increasingly popular across a range of domains. However, it has still been difficult for researchers interested in incorporating this tool into their research toolbox due to a lack of introductory knowledge and expected data quality outcomes. It is, for this reason, I decided to investigate the use of these tools more thoroughly for use across a broad range of research agendas. I wanted to use a standard UAS that could easily be purchased and flown without extensive technical knowledge. Additionally, I wanted to understand the impacts that many of the parameters regarding the use of the UAS had on the data collection process and thus the outcome quality of the data. This research focused on answering questions about data quality outcomes resulting from changes to several flight and collection parameters, such as the level of ground control (GPS points at the site), flight paths, camera shutter type, ground targets, and elevation above ground. To do this, I had to develop a method for testing each of the above parameters under controlled conditions and be able to compare each dataset for statistically significant change. Additionally, I included repeatability into the methodology so that researchers interested in the continued analysis of specific phenomena, such as change detection, could understand the level of variance in these data quality outcomes.
Physical Description:1 online resource : illustrations.
Bibliography:Includes bibliographical references and index.
ISBN:9781529604511
1529604516