Procedure Composite Process Instance – Django REST framework

Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations where used.
These may have a number of 2 or more components made up of combinations of Computation and Acquisition records.
The details of the underlying records have been serialised.

### Available end points:

- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

None
### How to use filters:

None

GET /api/v2/composites/29957/?format=api

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 29957,
    "computationComponent": [
        {
            "ob_id": 29955,
            "uuid": "c62c65712f674aeeaddffe5dc05d1ead",
            "title": "GlobBiomass retrieval algorithm used in the production of the Biomass CCI global dataset of forest above ground biomass for the year 2017.",
            "abstract": "The GlobBiomass retrieval algorithm is used to derive estimates of forest above-ground biomass (AGB) from satellite data for the year 2017 as part of the Biomass CCI project.\r\n\r\nFirst,  per-pixel estimates of growing stock volume (GSV, unit: m3/ha) were obtained from spaceborne SAR images acquired in 2017 (ALOS-2 PALSAR-2, Sentinel-1) with the BIOMASAR algorithm, adapted specifically to ALOS-2 PALSAR-2 and Sentinel-1 data. Individual per-pixel GSV estimates were then combined with a set of merging rules to form the final per-pixel estimate of GSV. The retrieval was supported by LiDAR (ICESAT) data and auxiliary datasets . AGB was then obtained from GSV with a set of Biomass Expansion and Conversion Factors (BCEF) following approaches to extend on ground estimates of wood density and stem-to-total biomass expansion factors to obtain a global raster dataset.\r\n\r\nSee the Algorithm Theoretical Basis Document for details on the EO datasets, the biomass retrieval algorithms and the estimation of the BCEF (see http://cci.esa.int/biomass)",
            "keywords": "",
            "inputDescription": null,
            "outputDescription": null,
            "softwareReference": null,
            "identifier_set": []
        }
    ],
    "acquisitionComponent": [
        {
            "ob_id": 29956,
            "independentInstrument": [],
            "instrumentplatformpair_set": [
                {
                    "ob_id": 12287,
                    "platform": "https://api.catalogue.ceda.ac.uk/api/v2/platforms/12319/?format=api",
                    "instrument": "https://api.catalogue.ceda.ac.uk/api/v2/instruments/12313/?format=api",
                    "relatedTo": {
                        "ob_id": 29956,
                        "uuid": "c8b2caa776da4515833a1ba6aa3ddc0e",
                        "short_code": "acq"
                    }
                },
                {
                    "ob_id": 12288,
                    "platform": "https://api.catalogue.ceda.ac.uk/api/v2/platforms/29959/?format=api",
                    "instrument": "https://api.catalogue.ceda.ac.uk/api/v2/instruments/29958/?format=api",
                    "relatedTo": {
                        "ob_id": 29956,
                        "uuid": "c8b2caa776da4515833a1ba6aa3ddc0e",
                        "short_code": "acq"
                    }
                }
            ]
        }
    ],
    "identifier_set": [],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129431/?format=api"
    ]
}