Date of Award
5-29-2013
Document Type
Masters Capstone Project
Degree Name
M.S. in Geographic Information Science
Organizational Unit
College of Natural Science and Mathematics, Geography and the Environment
Keywords
Global Positioning System (GPS), Small Unmanned Aerial Systems (SUASs), Multispectral imagery analysis, Agriculture
Abstract
The development of small Global Positioning System (GPS) antennas and microprocessors has propelled the advancement of affordable Small Unmanned Aerial Systems (SUASs), which will dramatically expand the remote sensing field, making timely, high-resolution imagery readily available. The low cost and simple operation of SUASs makes them an attractive option for agriculture. Flying a SUAS 400 ft above ground level (AGL) in a flight path that allows for significant image overlap can yield sub- 5cm resolution imagery, which in turn can be mosaicked and used for multispectral imagery analysis. With results rivaling the most advanced commercial imaging sensors, SUASs can be used to identify stressed vegetation and aid in decision making that ultimately leads to more efficient farming practices and consistent yields. Furthermore, minimal operating costs promote reduced revisit times and enable persistent collection to monitor changes over time.
Copyright Date
5-29-2013
Copyright Statement / License for Reuse
All Rights Reserved.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Colin Kubera
Provenance
Received from author
File Format
application/pdf
Language
English (eng)
Extent
62 pgs
File Size
10.3 MB
Recommended Citation
Kubera, Colin, "Enhancing Remote Sensing for Agriculture Using Small Unmanned Aerial Systems: San Diego, CA, as a Test Case" (2013). Geography and the Environment: Graduate Student Capstones. 42.
https://digitalcommons.du.edu/geog_ms_capstone/42