eolab.georastertools.processing.algo

Description

Algorithms on raster data

Functions

adaptive_gaussian	Applies an Adaptive Gaussian Filter to the input data that smoothes the input while preserving edges.
brightness_index	Compute the Brightness Index of the input data.
brightness_index2	Compute the Brightness Index of the input data.
evi	Compute the Enhanced vegetation index of the input data.
hillshade	Computes a mask of cast shadows in a Digital Elevation Model (DEM).
interpolated_timeseries	Interpolate a timeseries of data.
ipvi	Compute the Infrared Percentage Vegetation Index of the input data.
local_mean	Computes the local means of the input data using a sliding window defined by the kernel size.
local_sum	Computes the local sums of the input data using a sliding window defined by the kernel size.
median	Applies a Median Filter to the input data using scipy.ndimage.median_filter.
msavi	Compute the Modified Soil Adjusted Vegetation Index of the input data.
msavi2	Compute the Modified Soil Adjusted Vegetation Index of the input data.
normalized_difference	Compute the Normalized Difference Vegetation Index The coefficient ranges from -1 to 1 in each pixel.
pvi	Compute the Perpendicular Vegetation Index The coefficient ranges from -1 to 1 in each pixel.
redness_index	Compute the Redness Index of the input data.
rvi	Compute the Ratio Vegetation Index The coefficient is positive in each pixel.
savi	Compute the Soil Adjusted Vegetation Index The coefficient ranges from -1 to 1 in each pixel.
speed	Compute the speed of the input data based on the difference between two time points.
svf	Computes the Sky View Factor (SVF), which represents the fraction of the visible sky from each point in a Digital Elevation Model (DEM).
tndvi	Compute the Transformed Normalized Difference Vegetation Index The coefficient is positive in each pixel.
tsavi	Compute the Transformed Soil Adjusted Vegetation Index The coefficient ranges from -1 to 1 in each pixel.