Hyperheight Data Cube Denoising and Super Resolution Dataset Summary Generation code and pipeline: https://github.com/Anfera/HHDC Creator (HHDC Creator repo). 3 D photon count waveforms (Hyperheight data cubes) built from NEON discrete return LiDAR using the HHDC pipeline ( hhdc/cube generator.py ). Each cube stores a high resolution canopy volume (default: 0.5 m vertical bins over 64 m height, footprints every 2 m) across a 96 m × 96 m tile. In the HHDC Creator pipeline, the exact settings are recorded per sample in metadata, but this HF dataset only exposes the processed cubes and filenames. Inputs for learning are simulated observations from the physics based forward imaging model ( hhdc/forward model.py ) that emulates the Concurrent Artificially intelligent Spectrometry and Adaptive Lidar System (CASALS), applying Gaussian beam aggregation, distance based photon loss, and mixed Poisson + Gaussian noise to downsample/perturb the cube. Targets are the clean, high resolution cubes. The pairing supports denoising and spatial super resolution with recommended settings of 10 m diameter footprints sampled on a 3 m × 6 m grid (along/across swath); users can adjust these parameters as…
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