generates rasters of Köppen-Geiger land-cover classification
Project description
koppengeiger Python Package
The koppengeiger Python package generates rasters of Köppen-Geiger land-cover classification.
Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G
Installation
This package is available on PyPi as a pip package called koppengeiger.
pip install koppengeiger
Loading Köppen-Geiger Land-Cover Classification Raster
The function load_koppen_geiger is used to load a subset of the Köppen-Geiger land-cover classification raster as a rasters.Raster object. The Köppen-Geiger land-cover classification is a widely used vegetation and climate classification system. More details about this classification system can be found at Koppen Earth.
Parameters
geometry(RasterGeometry, optional): The geometry to which the raster should be transformed. If None, the original raster geometry is used.
Returns
Raster: The loaded Köppen-Geiger land-cover classification raster, potentially transformed to the given geometry.
Usage
import numpy as np
import rasters as rt
import modland
from koppengeiger import load_koppen_geiger
geometry = modland.generate_modland_grid(8, 5, 2400)
land_cover = load_koppen_geiger(geometry)
land_cover
References
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., & Wood, E. F. (2018). Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data, 5, 180214.
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