What question did this study set out to answer?

This research aims to evaluate the use of UAV imagery for accurate monitoring of rangeland conditions.

Acquisition, Orthorectification, and Object-based Classification of Unmanned Aerial Vehicle (UAV) Imagery for Rangeland Monitoring

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Randomized trial demonstrates effective UAV imagery classification for rangeland monitoring, suggesting improvements over traditional methods.

This research aims to evaluate the use of UAV imagery for accurate monitoring of rangeland conditions.
Acquired UAV imagery with a ground resolution of 8 cm over a 290 ha site.
Developed a semiautomated orthorectification procedure for managing UAV images.
Applied object-based hierarchical image analysis for classification of rangeland plots.
The geometric accuracy of orthorectified mosaics ranged from 1.5 m to 2 m.
Classification accuracies for two image mosaics were 83% and 88%.
Correlations between image and ground estimates of percent cover showed r-squared values of 0.86 to 0.98.

Laliberte et al. (2010) studied this question.

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Randomized trial demonstrates effective UAV imagery classification for rangeland monitoring, suggesting improvements over traditional methods.