Abstract
The deposition of livestock urine and feces in grazed fields results in a sizable input of
available nitrogen (N) in these soils; therefore significantly increasing potential nitrogen
pollution from agricultural areas in the form of nitrous oxide (N2O), ammonia (NH3), and
nitrate (NO3
−). Livestock deposition events contributes to high spatial variability within
the field and generate uncertainties when assessing the contribution that animal waste
has on nitrogen pollution pathways. This study investigated an innovative technique for
identifying the spatial coverage of urine deposition in grasslands without the need for
manual soil measurements. A Remotely Piloted Aircraft System (RPAS) using a twin
camera system was used to identify urine patches in a 5 ha field, which had been grazed
by sheep 3 weeks previous to measurements. The imagery was processed using Agisoft
Photoscan (Agisoft LLC) to produce true and false color orthomosaic imagery of the
entire field. Imagery of five areas (225 m2) within the field were analyzed using a custom
R script. For a total of 1,125 m2 of grassland, 12.2% of the area consisted of what
was classified as urine patch. A simple up-scaling method was applied to these data to
calculate N2O emissions for the entire field providing an estimate of 1.3–2.0 kg N2O-N
ha−1 emissions from urine and fertilizer inputs.
Original language | English |
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Article number | 10 |
Journal | Frontiers in Sustainable Food Systems |
Volume | 2 |
Early online date | 25 Apr 2018 |
DOIs | |
Publication status | First published - 25 Apr 2018 |
Keywords
- Feature detection
- Grassland
- Image analysis
- Nitrous oxide
- RPAS
- UAV
- Urine