Date of Award
2021
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Agricultural and Biosystems Engineering
Department
Agribusiness and Applied Economics
College
Agriculture, Food Systems and Natural Resources
Faculty Advisor
Jia, Xinhua
Description
Accurate measurements of soil moisture in a timely manner are necessary in making critical management decisions, but it is often very difficult to obtain. Even though soil moisture can be measured on the ground using various methods, or estimated via satellite imagery, soil moisture conditions at a field scale can be more beneficial. Since Unmanned Aircraft System (UAS) technology has become an effective tool in many different ways for producers and researchers, the spatial and temporal gaps between the ground and the satellite approaches can be fulfilled with the use of UAS. In this study, multi-spectral images were collected over an agricultural field in the Red River Valley from an UAS platform. Using this data, the soil moisture content was calculated, and a soil moisture map was developed. The remotely sensed soil moisture was then compared to the in-situ field moisture measurements to gage the soil moisture mapping accuracy.
Recommended Citation
Mack, Talon Clancy, "Using UAS Images to Remotely Estimate Soil Moisture Content in the Red River Valley" (2021). Agribusiness and Biosystems Engineering. 2.
https://digitalcommons.ndsu.edu/agribusiness-biosystems-engi/2
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/32739