Get a list of Observation objects.

### Available end points:

- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id

### Available Methods:

- `GET`
- `HEAD`

### Available filters:

- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`

### How to use filters:

These filters can be used like django query filters using __ for related model relationships.

- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`

Filters can be stacked to build an 'AND' relationship. E.g.

- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`

GET /api/v2/observations/8277/?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "ob_id": 8277,
    "uuid": "88c42e0b495a708d391957dc4f96d37c",
    "title": "SPOT (Earth-Observing Satellites) Imagery",
    "abstract": "10 to 20m resolution panchromatic imagery is available for the UK and Ireland from 1986 to 1995 (from SPOT 1, 2 and 3 satellites). They are isolated scenes captured over an extended time period. The data were acquired by the Landmap project from Infoterra. The SPOT satellite Earth Observation System was designed by the Centre National d'Etudes Spatiales (CNES), in France. There have been 7 SPOT (Satellite Pour l'Observation de la Terre) satellites launched since 1986 (as of August 2014), providing medium to high resolution of the Earth's surface. SPOT 1, 2 and 3 carried a multi-spectral and panchromatic sensor on board. SPOT 4 was successfully launched in March 1998. The first three SPOT satellites carry twin HRVs (High-Resolution Visible Imaging instruments) that operate in a number of viewing configurations and in different spectral modes. Some of those viewing configurations and spectral modes include one HRV only operating in a dual spectral mode (i.e. in both panchromatic mode and multispectral mode); two HRVs operating in the twin-viewing configuration (i.e. one HRV in panchromatic mode and one HRV in multispectral mode); and two HRVs operating independently of each other (i.e. not in twin-viewing configuration). The position of each HRV entrance mirror can be commanded by ground control to observe a region of interest. Operating independently of each other, the two HRVs acquire imagery in either multispectral (XS) and/or panchromatic (P) modes at any viewing angle within plus or minus 27 degrees. This off-nadir viewing enables the acquisition of stereoscopic imagery. To make sure the satellite covers every point on the earth's surface, the HRV imaging instruments offer a field of view that is wider than the greatest distance between two adjacent tracks.\r\nThe Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also include the following copyright statement on any reproduced SPOT images: CNES (year of reproduction of the data from the satellite), reproduced by................................................. under licence from SPOT IMAGE",
    "keywords": "",
    "publicationState": "published",
    "dataPublishedTime": "2014-08-13T07:43:55",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/8278/?format=api",
        "dataPath": "/neodc/landmap/data/optical/spot",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 9279248474,
        "numberOfFiles": 650,
        "fileFormat": "&lt;div property=\"cedacat:formats\"&gt;\n&lt;div class=\"formats\"&gt;Data availability and file format&lt;/div&gt;\n&lt;p&gt;10 to 20m resolution panchromatic imagery is available for the UK and Ireland from 1986 to 1995 in GeoTiff format, they are isolated scenes captured over an extended time period. The data are archived in the structure country/year/geotiff/orthospotxx_xxx_ddmmyyyy/datafiles where ddmmyyyy is the date that the image was collected on. XML metadata files containing information such as latitude/longitude, collection date and general information about the product; are located with their respective image files.&lt;/p&gt;\n&lt;p&gt;GeoTiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. They can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available &lt;a href=\"http://www.brockmann-consult.de/cms/web/beam/\"&gt;Basic ERS &amp;amp; Envisat (A)ATSR and Meris Toolbox (BEAM)&lt;/a&gt;.&lt;/p&gt;\n&lt;/div&gt;\n\n\n"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/2370/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/190/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/5317/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/8044/?format=api"
    ],
    "observationcollection_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/8212/?format=api"
    ],
    "responsiblepartyinfo_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33244/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33245/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33246/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33247/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42823/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/33243/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42825/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108886/?format=api",
        "https://api.catalogue.ceda.ac.uk/api/v2/rpis/42824/?format=api"
    ],
    "procedureAcquisition": null,
    "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/8284/?format=api",
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2576/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "noaccess",
            "accessRoles": null,
            "label": "noaccess: None group",
            "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf",
            "licenceClassifications": "unstated"
        }
    ],
    "discoveryKeywords": [
        {
            "ob_id": 1138,
            "name": "NDGO0003"
        }
    ]
}