Processes

Core Profile

As the openEO project defines a lot of processes, we need to define a core profile (i.e. a subset) that needs to be implemented on each back-end. All processes specifications can be found at https://processes.openeo.org (opens new window)

Data Cubes

• add_dimension: Add a new dimension
• aggregate_spatial: Zonal statistics for geometries
• aggregate_temporal: Temporal aggregations
• aggregate_temporal_period: Temporal aggregations based on calendar hierarchies
• apply: Apply a process to each pixel
• apply_dimension: Apply a process to pixels along a dimension
• apply_kernel: Apply a spatial convolution with a kernel
• dimension_labels: Get the dimension labels
• drop_dimension: Remove a dimension
• filter_bands: Filter the bands by names
• filter_bbox: Spatial filter using a bounding box
• filter_spatial: Spatial filter using geometries
• filter_temporal: Temporal filter for temporal intervals
• load_collection: Load a collection
• load_result: Load batch job results - experimental
• mask: Apply a raster mask
• mask_polygon: Apply a polygon mask
• merge_cubes: Merge two data cubes
• reduce_dimension: Reduce dimensions
• rename_dimension: Rename a dimension
• rename_labels: Rename dimension labels -> needed often for apply_dimension
• resample_cube_spatial: Resample the spatial dimensions to match a target data cube
• resample_cube_temporal: Resample temporal dimensions to match a target data cube - experimental
• resample_spatial: Resample and warp the spatial dimensions
• save_result: Save processed data

Arrays / Reducers

• array_append: Append a value to an array - experimental
• array_apply: Apply a process to each array element
• array_concat: Merge two arrays - experimental
• array_contains: Check whether the array contains a given value
• array_create: Create an array - experimental
• array_element: Get an element from an array
• array_filter: Filter an array based on a condition
• array_find: Get the index for a value in an array
• array_interpolate_linear: One-dimensional linear interpolation for arrays - experimental
• array_labels: Get the labels for an array
• array_modify: Change the content of an array (insert, remove, update) - experimental
• count: Count the number of elements
• extrema: Minimum and maximum values
• first: First element
• last: Last element
• max: Maximum value
• mean: Arithmetic mean (average)
• median: Statistical median
• min: Minimum value
• order: Create a permutation
• product: Compute the product by multiplying numbers
• rearrange: Rearrange an array based on a permutation
• sort: Sort data
• sum: Compute the sum by adding up numbers

Math

• absolute: Absolute value
• add: Addition of two numbers
• arccos: Inverse cosine
• arcosh: Inverse hyperbolic cosine
• arcsin: Inverse sine
• arctan: Inverse tangent
• arctan2: Inverse tangent of two numbers
• arsinh: Inverse hyperbolic sine
• artanh: Inverse hyperbolic tangent
• ceil: Round fractions up
• clip: Clip a value between a minimum and a maximum
• constant: Define a constant value -> pretty easy implementation
• cos: Cosine
• cosh: Hyperbolic cosine
• divide: Division of two numbers
• e: Euler's number
• exp: Exponentiation to the base e
• floor: Round fractions down
• int: Integer part of a number
• linear_scale_range: Linear transformation between two ranges
• ln: Natural logarithm
• log: Logarithm to a base
• mod: Modulo
• multiply: Multiplication of two numbers
• nan - Not a Number - experimental
• pi: Pi
• power: Exponentiation
• round: Round to a specified precision
• sgn: Signum
• sin: Sine
• sinh: Hyperbolic sine
• sqrt: Square root
• subtract: Subtraction of two numbers
• tan: Tangent
• tanh: Hyperbolic tangent

Statistics / Indices

• ndvi: Normalized Difference Vegetation Index
• normalized_difference: Normalized difference
• quantiles: Quantiles
• sd: Standard deviation
• variance: Variance

Logic

• and: Logical AND
• all: Are all of the values true?
• any: Is at least one value true?
• between: Between comparison
• eq: Equal to comparison
• gt: Greater than comparison
• gte: Greater than or equal to comparison
• if: If-Then-Else conditional
• is_infinite: Value is an infinite number - experimental
• is_nan: Value is not a number
• is_nodata: Value is a no-data value
• is_valid: Value is valid data
• lt: Less than comparison
• lte: Less than or equal to comparison
• neq: Not equal to comparison
• not: Inverting a boolean
• or: Logical OR
• xor: Logical XOR (exclusive or)