# components.parameters.limitParam.description
The limit parameter indicates the number of elements to return in an array

# components.parameters.skipParam.description
The skip parameter indicates the number of elements to skip before starting returning values in an array

# info.description
Prototype version of the ZOO-Project OGC API - Processes made available for the TestBed17. See http://www.zoo-project.org for more informations about the ZOO-Project.

# info.title
The ZOO-Project OGC API - Processes Prototype Server

# paths./.get.description
The landing page provides links to the API definition, the Conformance statements and the metadata about the processes offered by this service.

# paths./conformance.get.summary
information about standards that this API conforms to

# paths./conformance.get.description
list all requirements classes specified in a standard (e.g., WPS REST/JSON Binding Core) that the server conforms to

# paths./processes.get.description
Information about the available processes

# paths./processes/Voronoi/execution.post.description
Computes the edges of Voronoi diagram for a set of data points.

# paths./processes/Voronoi/execution.post.requestBody.content.application/json.examples.0.summary
Example 0: output as json by value as raw

# paths./processes/Voronoi/execution.post.requestBody.content.application/json.examples.1.summary
Example 1: output as json by reference as document

# paths./processes/Voronoi/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/Delaunay/execution.post.description
Computes the edges of a Delaunay triangulation for a set of data points.

# paths./processes/Delaunay/execution.post.requestBody.content.application/json.examples.0.summary
Example 0: output as json by reference as document

# paths./processes/Delaunay/execution.post.requestBody.content.application/json.examples.1.summary
Example 1: output as json by value as raw

# paths./processes/Delaunay/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/SAGA.shapes_polygons.1/execution.post.description
Creates a points layer containing the centroids of the input polygon layer.

# paths./processes/SAGA.shapes_polygons.1/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/SAGA.statistics_points.4/execution.post.description
Basic measures for spatial point patterns.

# paths./processes/SAGA.statistics_points.4/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/SAGA.shapes_points.12/execution.post.description
Implementation of 'Andrew's Monotone Chain Algorithm' for convex hull construction.

# paths./processes/SAGA.shapes_points.12/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/SAGA.ta_lighting.0/execution.post.description
This tool performs an analytical hillshade computation for an elevation grid. The 'Standard' method simply calculates the angle at which light coming from the position of the light source would hit the surface. This method can produce angles greater than 90 degree. With the second method all values are kept within the range of 0-90 degree. It can be enhanced with shadowing effects, where shadowed cells will be marked with a value of exactly 90 degree. 'Shadows Only' creates a mask for the shadowed areas and sets all other cells to no-data. 'Combined Shading' takes the values of the standard method and multiplies these with the normalized slope. 'Ambient Occlusion' is based on the concepts of Tarini et al. (2006), but only the northern half-space is considered here.

# paths./processes/SAGA.ta_lighting.0/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/OTB.ComputeImagesStatistics/execution.post.summary
Computes global mean and standard deviation for each band from a set of images and optionally saves the results in an XML file.

# paths./processes/OTB.ComputeImagesStatistics/execution.post.description
This application computes a global mean and standard deviation for each band of a set of images and optionally saves the results in an XML file. The output XML is intended to be used as an input for the TrainImagesClassifier application to normalize samples before learning. You can also normalize the image with the XML file in the ImageClassifier application.

# paths./processes/OTB.ComputeImagesStatistics/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/OTB.Smoothing/execution.post.description
This application applies a smoothing filter to an image. Three methods can be used: a gaussian filter , a mean filter , or an anisotropic diffusion using the Perona-Malik algorithm.

# paths./processes/OTB.Smoothing/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/OTB.BandMath/execution.post.summary
Outputs a monoband image which is the result of a mathematical operation on several multi-band images.

# paths./processes/OTB.BandMath/execution.post.description
This application performs a mathematical operation on several multi-band images and outputs the result into a monoband image. The given expression is computed at each pixel position. Evaluation of the mathematical formula is done by the muParser library.

# paths./processes/OTB.BandMath/execution.post.requestBody.content.application/json.examples.0.summary
Example 0: output as reference / image/tiff / document

# paths./processes/OTB.BandMath/execution.post.requestBody.content.application/json.examples.1.summary
Example 1: output as reference / image/jpeg / raw

# paths./processes/OTB.BandMath/execution.post.requestBody.description
Mandatory execute request in JSON format

# paths./processes/{processID}/execution.post.requestBody.description
Mandatory execute request in JSON format

# servers[].description
Prototype version of the ZOO-Project OGC API - Processes made available for the TestBed17. See http://www.zoo-project.org for more informations about the ZOO-Project.