Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications

@article{Gevaert2014CombiningHU,
  title={Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications},
  author={Caroline M. Gevaert and Jing Tang and F. Joan Garc{\'i}a-Haro and Juha Suomalainen and Lammert Kooistra},
  journal={2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)},
  year={2014},
  pages={1-4}
}
Remote sensing is a key tool for precision agriculture applications as it is capable of capturing spatial and temporal variations in crop status. However, satellites often have an inadequate spatial resolution for precision agriculture applications. High-resolution Unmanned Aerial Vehicles (UAV) imagery can be obtained at flexible dates, but operational costs may limit the collection frequency. The current study utilizes data fusion to create a dataset which benefits from the temporal… CONTINUE READING

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