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generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission

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JPL-Evapotranspiration-Algorithms/gedi-canopy-height

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gedi-canopy-height Python Package

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The gedi-canopy-height Python package generates rasters of the Global Forest Canopy Height 2019 dataset derived from Global Ecosystem Dynamics Investigation (GEDI).

Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G

Prerequisites

This packages uses the wget command line tool and the gdal command line tools.

On macOS, these can be installed with Homebrew:

brew install wget
brew install gdal

These tools can also be installed with mamba:

mamba install wget
mamba install gdal

Installation

This package is available on PyPi as a pip package called gedi-canopy-height with dashes.

pip install gedi-canopy-height

Usage

Import this package as gedi_canopy_height with under-scores.

from gedi_canopy_height import load_canopy_height

References

P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C.E. Silva, J. Armston, R. Dubayah, J. B. Blair, M. Hofton (2020) Mapping and monitoring global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165[^1^][5].