High-resolution Canopy Height Model of Hawaii Island 2018-2020

Forest canopy height model for Hawaii Island using lairborne lidar data collected by NOAA in 2018, 2019 and 2020. The maps are produced by year at the resolution of 1 m. The raw point cloud data had am average point cloud density of 8 pulses per squre m. https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9635/index.html

ALS 2018 data was reprocessed using Lastools software to reclassify ground class (2)

ALS 2019_20 was also reprocessed using Lastools software to reclassify unclassified (1) points to vegetation (5)

The CHM’s generation procedure is composed by four steps. It starts by the creation of 500m x 500m tiles using a 50m buffer, resorting to the lastile function, followed by the lasheight function that is used to compute the elevation of each point above the ground. Then, the lastile function is used again to remove the buffer from the normalised point clouds. These first three steps resort to the LASTools software. The fourth, and final step, consists in the generation of the CHM with a 1 m resolution resorting to the pit-free algorithm implemented in the rasterize_canopy function from the lidR package.

The file is a GeoTIFF with LZW compression in ArcGIS pro 3.3 

EPSG:6635

Use of these data requires citation of this dataset