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Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing
RS is widely employed as a non-destructive methodology to monitor grasslands. Usage of UAV as the RS platform benefits to provide high spatial (fine-grain) and temporal resolution, unclouded data over small grassland extent. Therefore, this thesis evaluated the applications of UAV-borne RS for fine-scale grassland monitoring along with practical farm condition. Grass biomass estimation, predicting forage quality of grass and mapping invasive lupine in grasslands are considered as applications of UAVborne RS.