High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction

Martin Kanning, Insa Kühling, Dieter Trautz, Thomas Jarmer 0001. High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction. Remote Sensing, 10(12):2000, 2018. [doi]

@article{KanningKTJ18,
  title = {High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction},
  author = {Martin Kanning and Insa Kühling and Dieter Trautz and Thomas Jarmer 0001},
  year = {2018},
  doi = {10.3390/rs10122000},
  url = {https://doi.org/10.3390/rs10122000},
  researchr = {https://researchr.org/publication/KanningKTJ18},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {10},
  number = {12},
  pages = {2000},
}