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Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing

Wijesingha, Jayan Sri Jeewantha

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.

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@phdthesis{doi:10.17170/kobra-202004151154,
  author    ={Wijesingha, Jayan Sri Jeewantha},
  title    ={Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing},
  keywords ={004 and 550 and 600 and 630 and Fernerkundung and Drohne  and Grünland},
  copyright  ={https://rightsstatements.org/page/InC/1.0/},
  language ={en},
  school={Kassel, Universität Kassel, Fachbereich Ökologische Agrarwissenschaften},
  year   ={2020-04}
}