Directly-Georeferenced Hyperspectral Point Cloud (DHPC) from the Mer Bleue Peatland (example dataset)
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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.
加拿大安大略省渥太华附近梅尔布鲁克泥炭地的直接地理参考高光谱点云（Directly-Georeferenced Hyperspectral Point Cloud，简称DHPC）数据集，对应数据文件为HPC_288band_xyz_final.txt。该点云配套有元数据文件HPC_288band_xyz_final_META.txt，其中记录了数据采集仪器、采集时间、采集日期、传感器平台、光谱单位、各波段的波长与半高全宽、波长单位、文件类型及地图信息等重要数据参数。该直接地理参考高光谱点云及其相较于传统栅格数据产品的优势相关内容已在以下文献中详述：Inamdar D、Kalacska M、Arroyo-Mora J.P、Leblanc G于2021年发表于《Frontiers in Remote Sensing》（《遥感前沿》）的论文《The Directly-Georeferenced Hyperspectral Point Cloud (DHPC): Preserving the Integrity of Hyperspectral Imaging Data》，DOI: 10.3389/frsen.2021.675323。其生成方法相关内容已在以下文献中详述：Inamdar D、Kalacska M、Leblanc G、Arroyo-Mora J.P于2021年提交至《MethodsX》的论文《Implementation of the Directly-Georeferenced Hyperspectral Point Cloud》。
