Determining pen surface water in a cattle feedlot with thermal infrared remote sensing

K-REx Repository

Show simple item record Leiker, Curtis Joseph 2010-11-29T21:22:16Z 2010-11-29T21:22:16Z 2010-11-29
dc.description.abstract Particulate matter (PM) emissions from open beef cattle feedlots depend heavily on the level of water on the pen surface. Wet pen surfaces are able to keep PM emissions low, while dry surfaces have much higher rates of emission. Current research shows that 20-25% surface water content is a critical threshold for minimizing PM emissions from open cattle feedlots. The amount of water on the pen surface will also dictate the level of gaseous emissions, such as ammonia, nitrous oxide, and hydrogen sulfide. Traditional methods of measuring pen surface water are not sufficient within a dense cattle feedlot and cannot provide a continuous method of measurement unattended. The process of using infrared thermometry and meteorological variables to remotely sense surface water provides an inexpensive, ground level approach. Testing in laboratory, outdoor, and feedlot conditions was conducted to analyze the potential of using the thermal inertia remote sensing approach. This approach involved continuous measurement of weighted soil water content, surface temperature of the soil, air temperature, solar radiation, wind speed, and relative humidity. Controlled laboratory testing performed the best at predicting soil water content from the difference in soil surface and air temperature, with the coefficient of determination (R2) at 0.91 for a Smolan silt loam and 0.83 for dry feedlot soil. Outdoor testing achieved mixed results with R2 values only as high as 0.38 for 10-cm soil layer and 0.67 for 5-cm soil layer. Testing in a cattle feedlot with dry, loose manure layer proved to be imprecise, but was able to differentiate surface water levels varying from 4.1% to 9.1% wet basis. en_US
dc.description.sponsorship National Institute of Food and Agriculture en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Remote Sensing en_US
dc.subject Feedlot en_US
dc.subject Thermal infrared en_US
dc.subject Soil water en_US
dc.title Determining pen surface water in a cattle feedlot with thermal infrared remote sensing en_US
dc.type Thesis en_US Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Biological & Agricultural Engineering en_US
dc.description.advisor Ronaldo G. Maghirang en_US
dc.subject.umi Engineering, Agricultural (0539) en_US
dc.subject.umi Engineering, Environmental (0775) en_US 2010 en_US December en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search K-REx

Advanced Search


My Account


Center for the

Advancement of Digital


118 Hale Library

Manhattan KS 66506

(785) 532-7444