points2grid generates Digital Elevation Models (DEM) using a local gridding method. The local gridding algorithm computes grid cell elevation using a circular neighbourhood defined around each grid cell based on a radius provided by the user. This neighbourhood is referred to as a bin, while the grid cell is referred to as a DEM node. Several values, including minimum, maximum, mean, and inverse distance weighted (IDW) mean, are computed for points that fall within the bin. These values are then assigned to the corresponding DEM node and used to represent the elevation variation over the neighbourhood represented by the bin. If no points are found within a given bin, the DEM node receives a value of null. points2grid also provides a null filling option, which applies an inverse distance weighted focal mean via a square moving window of 3, 5, or 7 pixels to fill cells in the DEM that have null values.
The points2grid source tree at CRREL's github repository is a fork of the work that was done at ASU and OpenTopography. It is probably the most up-to-date version of the code at this time. Note that CRREL has not functionally changed the algorithms, however, and most of the tweaks have been in how points2grid gets its data. This CRREL edition contains its own LAS-reading code to eliminate all significant external dependencies. This points2grid tree can also be linked to PDAL as a PDAL writer to output grids using PDAL data sources.
See INSTALL.md in this source tree for installation instructions.
If any of your pre-requisites (curl) are installed on non-standard location, please set your
To view complete usage information, please type
./points2grid from the command-line.