EO Tasks¶

core¶

`AddFeature`	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.
`DuplicateFeature`	Duplicates one or multiple features in an EOPatch.
`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
`InitializeFeature`	Initializes the values of a feature.
`LoadFromDisk`	A deprecated version of LoadTask
`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.
`MergeFeatureTask`	Merges multiple features together by concatenating their data along the last axis.
`MoveFeature`	Task to copy/deepcopy fields from one eopatch to another.
`RemoveFeature`	Removes one or multiple features from the given EOPatch.
`RenameFeature`	Renames one or multiple features from the given EOPatch.
`SaveTask`	Saves the given EOPatch to a filesystem
`SaveToDisk`	A deprecated version of SaveTask
`ZipFeatureTask`	Passes a set of input_features to a function, which returns a single features as a result and stores it in the eopatch.
`CompositeTask`	Creates a task that is composite of two tasks.

coregistration¶

`ECCRegistration`	Registration task implementing an intensity-based method from OpenCV
`PointBasedRegistration`	Registration class implementing a point-based registration from OpenCV contrib package
`RegistrationTask`	Abstract class for multi-temporal image co-registration
`ThunderRegistration`	Registration task implementing a translational registration using the thunder-registration package

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 Laplacian of Gaussian (LoG) method
`LoGBlobTask`	Task to compute blobs with Laplacian of Gaussian (LoG) method
`FeatureExtractionTask`	Task that applies an algebraic expression on each value of the feature
`FilterTimeSeries`	Removes all frames in the time-series with dates outside the user specified time interval.
`SimpleFilterTask`	Transforms an eopatch of shape [n, w, h, d] into [m, w, h, d] for m <= n.
`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
`AkimaInterpolation`	Implements eolearn.features.InterpolationTask by using scipy.interpolate.Akima1DInterpolator
`BSplineInterpolation`	Implements eolearn.features.InterpolationTask by using scipy.interpolate.BSpline
`CubicInterpolation`	Implements eolearn.features.InterpolationTask by using scipy.interpolate.interp1d(kind=’cubic’)
`CubicResampling`	Implements eolearn.features.ResamplingTask by using scipy.interpolate.interp1d(kind=’cubic’)
`InterpolationTask`	Main EOTask class for interpolation and resampling of time-series.
`KrigingInterpolation`	Implements eolearn.features.InterpolationTask by using sklearn.gaussian_process.GaussianProcessRegressor Gaussian processes (superset of kriging) are especially used in geological missing data estimation.
`LegacyInterpolation`	Implements eolearn.features.InterpolationTask by using scipy.interpolate.interp1d(kind=’linear’)
`LinearInterpolation`	Implements eolearn.features.InterpolationTask by using numpy.interp and @numb.jit(nopython=True)
`LinearResampling`	Implements eolearn.features.ResamplingTask by using scipy.interpolate.interp1d(kind=’linear’)
`NearestResampling`	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.
`SplineInterpolation`	Implements eolearn.features.InterpolationTask by using scipy.interpolate.UnivariateSpline
`LocalBinaryPatternTask`	Task to compute the Local Binary Pattern images
`BaseCompositing`	Base class to create a composite of reference scenes
`BlueCompositing`	Blue band compositing method
`HOTCompositing`	HOT compositing method
`HistogramMatching`	Histogram match of each band of each scene within a time-series with respect to the corresponding band of a reference composite.
`MaxNDVICompositing`	maxNDVI compositing method
`MaxNDWICompositing`	maxNDWI compositing method
`MaxRatioCompositing`	maxRatio compositing method
`ReferenceScenes`	Creates a layer of reference scenes which have the highest fraction of valid pixels.
`AddMaxMinNDVISlopeIndicesTask`	Task to compute the argmax and armgin 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
`PointSamplingTask`	Task for spatially sampling points from a time-series.
`FelzenszwalbSegmentation`	Super-pixel segmentation which uses Felzenszwalb’s method of segmentation
`MarkSegmentationBoundaries`	Takes super-pixel segmentation mask and creates a new mask where boundaries of super-pixels are marked
`SlicSegmentation`	Super-pixel segmentation which uses SLIC method of segmentation
`SuperpixelSegmentation`	Super-pixel segmentation task
`RasterToVector`	Task for transforming raster mask feature into vector feature.
`VectorToRaster`	Task that transforms vector data into a raster feature.

io¶

`AddGeopediaFeature`	Task for adding a feature from Geopedia to an existing EOPatch.
`BaseLocalIo`	Base abstract class for local IO tasks
`ExportToTiff`	Task exports specified feature to Geo-Tiff.
`ImportFromTiff`	Task for importing data from a Geo-Tiff file into an EOPatch
`SentinelHubDemTask`	A processing API input task that downloads the digital elevation model
`SentinelHubInputBase`	Base class for Processing API input tasks
`SentinelHubInputTask`	A processing API input task that loads 16bit integer data and converts it to a 32bit float feature.
`AddSen2CorClassificationFeature`	Adds SCL (scene classification), CLD (cloud probability) or SNW (snow probability) Sen2Cor classification results to EOPatch’s MASK or DATA feature.
`DEMWCSInput`	Adds DEM to DATA_TIMELESS EOPatch feature.
`DEMWMSInput`	Adds DEM to DATA_TIMELESS EOPatch feature.
`L8L1CWCSInput`	Task for creating EOPatches and filling them with Landsat-8 L1C data using Sentinel Hub’s WCS request.
`L8L1CWMSInput`	Task for creating EOPatches and filling them with Landsat-8 L1C data using Sentinel Hub’s WMS request.
`S1IWWCSInput`	Task for creating EOPatches and filling them with Sentinel-1 IW GRD data using Sentinel Hub’s WCS request.
`S1IWWMSInput`	Task for creating EOPatches and filling them with Sentinel-1 IW GRD data using Sentinel Hub’s WMS request.
`S2L1CWCSInput`	Task for creating EOPatches and filling them with Sentinel-2 L1C data using Sentinel Hub’s WCS request.
`S2L1CWMSInput`	Task for creating EOPatches and filling them with Sentinel-2 L1C data using Sentinel Hub’s WMS request.
`S2L2AWCSInput`	Task for creating EOPatches and filling them with Sentinel-2 L2A data using Sentinel Hub’s WCS request.
`S2L2AWMSInput`	Task for creating EOPatches and filling them with Sentinel-2 L2A data using Sentinel Hub’s WMS request.
`SentinelHubOGCInput`	Task for creating EOPatch and filling it with data using Sentinel Hub’s OGC request.
`SentinelHubWCSInput`	Task for creating EOPatches and filling them with data using Sentinel Hub’s WCS request.
`SentinelHubWMSInput`	Task for creating EOPatches and filling them with data using Sentinel Hub’s WMS request.

mask¶

`AddCloudMaskTask`	Task to add a cloud mask and cloud probability map to an EOPatch
`AddMultiCloudMaskTask`	This task wraps around s2cloudless and the SSIM-based multi-temporal classifier.
`ClassFrequencyTask`	Calculates frequencies of each provided class through the temporal dimension.
`AddValidDataMaskTask`	EOTask for adding custom mask array used to filter reflectances data
`MaskFeature`	Masks out values of a feature using defined values of a given mask feature.
`BaseSnowMask`	Base class for snow detection and masking
`SnowMask`	The task calculates the snow mask using the given thresholds.
`TheiaSnowMask`	Task to add a snow mask to an EOPatch.

ml_tools¶

`ImageClassificationMaskTask`	This task applies pixel-based uni-temporal classifier to each image in the patch and appends to each image the classification mask.
`MorphologicalFilterTask`	EOTask that performs morphological operations on masks.
`PostprocessingTask`	Base class for all post-processing tasks
`TrainTestSplitTask`	Randomly assign each pixel or groups of pixels to multiple subsets (e.g., test/train/validate).