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Assessing Drone Mapping Capabilities and Increased Cognitive Retention Using Interactive Hands-On Natural Resource Instruction

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Title: Assessing Drone Mapping Capabilities and Increased Cognitive Retention Using Interactive Hands-On Natural Resource Instruction
Language: English
Authors: Williams, Victoria, Unger, Daniel, Kulhavy, David, Hung, I-Kuai, Zhang, Yanli
Source: Higher Education Studies. 2023 13(2):28-36.
Availability: Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: hes@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/hes
Peer Reviewed: Y
Page Count: 9
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Aviation Technology, Aviation Education, Cartography, Maps, Natural Resources, Science Instruction, Photography, State Universities, Graduate Students
Geographic Terms: Texas (Austin)
ISSN: 1925-4741
1925-475X
Abstract: The use of Unmanned Aerial Systems (UAS), also known as drones, is increasing in geospatial science curricula within the United States. Four geospatial science faculty members within the Arthur Temple College of Forestry and Agriculture at Stephen F. Austin State University (SFASU), Texas, focus on applying imagery obtained from drones to map, monitor, and quantify natural resources. To produce society-ready foresters, natural resource managers, and environmental scientists, the geospatial science faculty employ an intensive one-on-one hands-on interactive approach in training future resource management professionals in how to effectively apply drone technology within natural resource endeavors. In particular, recent instruction has focused on training students how to evaluate the amount of overlap and sidelap percentages required within a drone flight to create the optimum orthophoto mosaic. Results indicate that the one-on-one interactive methodology employed by faculty at SFASU produce highly qualified drone pilots capable of providing the drone community with new insights on how to produce accurate orthophoto mosaics in a timely and efficient manner.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1392485
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Assessing Drone Mapping Capabilities and Increased Cognitive Retention Using Interactive Hands-On Natural Resource Instruction
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  Data: <searchLink fieldCode="AR" term="%22Williams%2C+Victoria%22">Williams, Victoria</searchLink><br /><searchLink fieldCode="AR" term="%22Unger%2C+Daniel%22">Unger, Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Kulhavy%2C+David%22">Kulhavy, David</searchLink><br /><searchLink fieldCode="AR" term="%22Hung%2C+I-Kuai%22">Hung, I-Kuai</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yanli%22">Zhang, Yanli</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Higher+Education+Studies%22"><i>Higher Education Studies</i></searchLink>. 2023 13(2):28-36.
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  Data: Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: hes@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/hes
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  Data: 9
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  Data: 2023
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  Data: <searchLink fieldCode="DE" term="%22Aviation+Technology%22">Aviation Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Aviation+Education%22">Aviation Education</searchLink><br /><searchLink fieldCode="DE" term="%22Cartography%22">Cartography</searchLink><br /><searchLink fieldCode="DE" term="%22Maps%22">Maps</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+Resources%22">Natural Resources</searchLink><br /><searchLink fieldCode="DE" term="%22Science+Instruction%22">Science Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Photography%22">Photography</searchLink><br /><searchLink fieldCode="DE" term="%22State+Universities%22">State Universities</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+Students%22">Graduate Students</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Texas+%28Austin%29%22">Texas (Austin)</searchLink>
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– Name: Abstract
  Label: Abstract
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  Data: The use of Unmanned Aerial Systems (UAS), also known as drones, is increasing in geospatial science curricula within the United States. Four geospatial science faculty members within the Arthur Temple College of Forestry and Agriculture at Stephen F. Austin State University (SFASU), Texas, focus on applying imagery obtained from drones to map, monitor, and quantify natural resources. To produce society-ready foresters, natural resource managers, and environmental scientists, the geospatial science faculty employ an intensive one-on-one hands-on interactive approach in training future resource management professionals in how to effectively apply drone technology within natural resource endeavors. In particular, recent instruction has focused on training students how to evaluate the amount of overlap and sidelap percentages required within a drone flight to create the optimum orthophoto mosaic. Results indicate that the one-on-one interactive methodology employed by faculty at SFASU produce highly qualified drone pilots capable of providing the drone community with new insights on how to produce accurate orthophoto mosaics in a timely and efficient manner.
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      – Text: English
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      – SubjectFull: Cartography
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      – SubjectFull: Texas (Austin)
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