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Functions/Routines to Help with Validation of NASADEM with Global Lidar Data

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nasadem_val

This is not actively maintained; it was tested with python 3.7.

These are functions to assist in the filtering and appending of global data to the lidar shot data from ICESat-2 and GEDI. Tested with python 3.7.

The basic workflow divides items into dem 1 degree tiles. From there, we use the GeoDataFrame objects to:

  1. Extract raster data from the pixels covered by the lidar shot
  2. Filter data based on auxiliary raster data, dem slope, and the lidar shot metadata.

Installation

Clone this repository. Install the environment using mamba i.e. mamba env update -f environment.yml. Then install the library with pip install .

Usage

See the jupyter notebooks in notebooks/. These will assume data in a private server.

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Functions/Routines to Help with Validation of NASADEM with Global Lidar Data

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  • Jupyter Notebook 96.1%
  • Python 3.9%