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Directly-Georeferenced Hyperspectral Point Cloud (HPC_288band_xyz_final.txt) from the Mer Bleue Peatland near Ottawa, Ontario, Canada. The point cloud is accompanied by a meta data file (HPC_288band_xyz_final_META.txt) that records important data parameters such as data acquisition instrument, data acquisition time, data acquisition date, sensor platform, spectral units, wavelength and full width at half maximum of each band, wavelength units, file type and map info. The Directly-Georeferenced Hyperspectral Point Cloud and its advantages over conventional raster data products are described in: Inamdar, D., Kalacska M., Arroyo-Mora J.P., Leblanc G., 2021. The Directly-Georeferenced Hyperspectral Point Cloud (DHPC): Preserving the Integrity of Hyperspectral Imaging Data. Frontiers in Remote Sensing doi: 10.3389/frsen.2021.675323 The methodology to generate the Directly-Georeferenced Hyperspectral Point Cloud is described in: Inamdar, D., Kalacska M., Leblanc G., Arroyo-Mora J.P. 2021. Implementation of the Directly-Georeferenced Hyperspectral Point Cloud. MethodsX Submitted.
{"references": ["Inamdar et al. (2021). The Directly-Georeferenced Hyperspectral Point Cloud (DHPC): Preserving the Integrity of Hyperspectral Imaging Data. doi: 10.3389/frsen.2021.675323", "Inamdar et al. (2021). Implementation of the Directly-Georeferenced Hyperspectral Point Cloud. MethodsX: submitted"]}
hyperspectral, airborne, UAV, drone, peatland, 3D,
hyperspectral, airborne, UAV, drone, peatland, 3D,
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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