EOTasks

core

AddFeatureTask	Adds a feature to the given EOPatch.
CopyTask	Makes a shallow copy of the given EOPatch.
CreateEOPatchTask	Creates an EOPatch.
DeepCopyTask	Makes a deep copy of the given EOPatch.
DuplicateFeatureTask	Duplicates one or multiple features in an EOPatch.
ExplodeBandsTask	Explode a subset of bands from one feature to multiple new features.
ExtractBandsTask	Moves a subset of bands from one feature to a new one.
IOTask	An abstract Input/Output task that can handle a path and a filesystem object.
InitializeFeatureTask	Initializes the values of a feature.
LoadTask	Loads an EOPatch from a filesystem.
MapFeatureTask	Applies a function to each feature in input_features of a patch and stores the results in a set of output_features.
MergeEOPatchesTask	Merge content from multiple EOPatches into a single EOPatch.
MergeFeatureTask	Merges multiple features together by concatenating their data along the specified axis.
MoveFeatureTask	Task to copy/deepcopy fields from one EOPatch to another.
RemoveFeatureTask	Removes one or multiple features from the given EOPatch.
RenameFeatureTask	Renames one or multiple features from the given EOPatch.
SaveTask	Saves the given EOPatch to a filesystem.
ZipFeatureTask	Passes a set of input_features to a function, which returns a single features as a result and stores it in the given EOPatch.
InputTask	Introduces data into an EOWorkflow, where the data can be specified at initialization or at execution.
OutputTask	Stores data as an output of EOWorkflow results.

coregistration

ECCRegistrationTask	Registration task implementing an intensity-based method from OpenCV
PointBasedRegistrationTask	Registration class implementing a point-based registration from OpenCV contrib package
RegistrationTask	Abstract class for multi-temporal image co-registration

features

EuclideanNormTask	The task calculates the Euclidean Norm:
NormalizedDifferenceIndexTask	The task calculates a Normalized Difference Index (NDI) between two bands A and B as:
BlobTask	Task to compute blobs
DoGBlobTask	Task to compute blobs with Difference of Gaussian (DoG) method
DoHBlobTask	Task to compute blobs with Determinant of the Hessian (DoH) method
LoGBlobTask	Task to compute blobs with Laplacian of Gaussian (LoG) method
ClusteringTask	Tasks computes clusters on selected features using sklearn.cluster.AgglomerativeClustering.
DoublyLogisticApproximationTask	EOTask class for calculation of doubly logistic approximation on each pixel for a feature.
FilterTimeSeriesTask	Removes all frames in the time-series with dates outside the user specified time interval.
LinearFunctionTask	Applies a linear function to the values of input features.
SimpleFilterTask	Transforms an eopatch of shape [n, w, h, d] into [m, w, h, d] for m <= n.
SpatialResizeTask	Resizes the specified spatial features of EOPatch.
ValueFilloutTask	Overwrites occurrences of a desired value with their neighbor values in either forward, backward direction or both, along an axis.
HaralickTask	Task to compute Haralick texture images
HOGTask	Task to compute the histogram of gradient
AkimaInterpolationTask	Implements eolearn.features.InterpolationTask by using scipy.interpolate.Akima1DInterpolator
BSplineInterpolationTask	Implements eolearn.features.InterpolationTask by using scipy.interpolate.BSpline
CubicInterpolationTask	Implements eolearn.features.InterpolationTask by using scipy.interpolate.interp1d(kind='cubic')
CubicResamplingTask	Implements eolearn.features.ResamplingTask by using scipy.interpolate.interp1d(kind='cubic')
InterpolationTask	Main EOTask class for interpolation and resampling of time-series.
KrigingInterpolationTask	Implements eolearn.features.InterpolationTask by using sklearn.gaussian_process.GaussianProcessRegressor Gaussian processes (superset of kriging) are especially used in geological missing data estimation.
LinearInterpolationTask	Implements eolearn.features.InterpolationTask by using numpy.interp and @numba.jit(nopython=True)
LinearResamplingTask	Implements eolearn.features.ResamplingTask by using scipy.interpolate.interp1d(kind='linear')
NearestResamplingTask	Implements eolearn.features.ResamplingTask by using scipy.interpolate.interp1d(kind='nearest')
ResamplingTask	A subclass of InterpolationTask task that works only with data with no missing, masked or invalid values.
SplineInterpolationTask	Implements eolearn.features.InterpolationTask by using scipy.interpolate.UnivariateSpline
LocalBinaryPatternTask	Task to compute the Local Binary Pattern images
BaseCompositingTask	Base class to create a composite of reference scenes
BlueCompositingTask	Blue band compositing method
HOTCompositingTask	HOT compositing method
HistogramMatchingTask	Histogram match of each band of each scene within a time-series with respect to the corresponding band of a reference composite.
MaxNDVICompositingTask	maxNDVI compositing method
MaxNDWICompositingTask	maxNDWI compositing method
MaxRatioCompositingTask	maxRatio compositing method
ReferenceScenesTask	Creates a layer of reference scenes which have the highest fraction of valid pixels.
AddMaxMinNDVISlopeIndicesTask	Task to compute the argmax and argmin of the NDVI slope
AddMaxMinTemporalIndicesTask	Task to compute temporal indices of the maximum and minimum of a data feature
AddSpatioTemporalFeaturesTask	Task that implements and adds to eopatch the spatio-temporal features proposed in [1].

geometry

ErosionTask	The task performs an erosion to the provided mask
MorphologicalFilterTask	Performs morphological operations on masks.
FelzenszwalbSegmentationTask	Super-pixel segmentation which uses Felzenszwalb's method of segmentation
MarkSegmentationBoundariesTask	Takes super-pixel segmentation mask and creates a new mask where boundaries of super-pixels are marked
SlicSegmentationTask	Super-pixel segmentation which uses SLIC method of segmentation
SuperpixelSegmentationTask	Super-pixel segmentation task
RasterToVectorTask	Task for transforming raster mask feature into vector feature.
VectorToRasterTask	A task for transforming a vector feature into a raster feature

io

GeopediaVectorImportTask	A task for importing Geopedia features into EOPatch vector features
VectorImportTask	A task for importing (Fiona readable) vector data files into an EOPatch
_BaseVectorImportTask	Base Vector Import Task, implementing common methods
AddGeopediaFeatureTask	Task for adding a feature from Geopedia to an existing EOPatch.
BaseRasterIoTask	Base abstract class for raster IO tasks
ExportToTiffTask	Task exports specified feature to GeoTIFF.
ImportFromTiffTask	Task for importing data from a GeoTIFF file into an EOPatch
SentinelHubDemTask	Adds DEM data (one of the collections) to
SentinelHubEvalscriptTask	Process API task to download data using evalscript
SentinelHubInputBaseTask	Base class for Processing API input tasks
SentinelHubInputTask	Process API input task that loads 16bit integer data and converts it to a 32bit float feature.
SentinelHubSen2corTask	Adds SCL (scene classification), CLD (cloud probability) or SNW (snow probability) (or their combination) Sen2Cor classification results to EOPatch's MASK or DATA feature.

mask

CloudMaskTask	Cloud masking with an improved s2cloudless model and the SSIM-based multi-temporal classifier.
ClassFrequencyTask	Calculates frequencies of each provided class through the temporal dimension.
JoinMasksTask	Joins together masks with the provided logical operation.
MaskFeatureTask	Masks out values of a feature using defined values of a given mask feature.
BaseSnowMaskTask	Base class for snow detection and masking
SnowMaskTask	The task calculates the snow mask using the given thresholds.
TheiaSnowMaskTask	Task to add a snow mask to an EOPatch.

ml_tools

BaseSamplingTask	A base class for sampling tasks
BlockSamplingTask	A task to randomly sample pixels or blocks of any size.
FractionSamplingTask	The main task for pixel-based sampling that samples a fraction of viable points determined by a mask feature.
GridSamplingTask	A task to sample blocks of a given size in a regular grid.
TrainTestSplitTask	Randomly assign each pixel or groups of pixels to multiple subsets (e.g., test/train/validate).