Observation Instance
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/46019/?format=api
{ "ob_id": 46019, "uuid": "dd2213cf6647460e916666960d4bce2d", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly Multi-Functional Transport Satellite (MTSAT1-2) level 3C (L3C) product (2009-2015), version 2.00", "abstract": "This dataset contains monthly land surface temperatures (LST) and their uncertainty estimates from the Japanese Advanced Meteorological Imager (JAMI) onboard Multi-Functional Transport Satellite (MTSAT-1 and MTSAT-2). The surface temperatures are averaged every 3 hours and distributed on a regular latitude-longitude grid with a resolution of 0.05ºx0.05º. The coverage is limited to land surfaces within the MTSAT disk, which encompasses Australia and part of Asia. LSTs are estimated from infrared measurements using a single channel algorithm, being only available under clear-sky conditions. Quality of single channel algorithms is generally lower than dual channel ones, users are advised to read the respective Product User Guide and Validation Report for more information on expected quality of these LST estimates.\r\n\r\nThe dataset was produced by the Portuguese Institute for Sea and Atmosphere (IPMA) as part of the ESA Land Surface Temperature Climate Change Initiative. The reader is referred to the LST_cci website for more information about how the data record was derived, and how to use the data and associated quality flags and estimated uncertainty.", "keywords": "land surface temperature, CCI, MTSAT", "publicationState": "citable", "dataPublishedTime": "2026-07-01T10:27:39", "doiPublishedTime": "2026-07-01T13:36:00", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46053/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/MTSAT_JAMI/L3C/v2.00/monthly", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8163016824, "numberOfFiles": 509, "fileFormat": "NetCDF" }, "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13232/?format=api", "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/3468/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62782/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62783/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62784/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62785/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62786/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62787/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62788/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62789/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api" ], "dataLineage": "The data record has been produced by the Portuguese Institute for Sea and Atmosphere (IPMA) within the ESA Land Surface Temperature Climate Change Initiative (LST_cci) and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Level 1 satellite observations were provided by the Satellite Applications Facility on Land Surface Analysis (LSA-SAF).\r\nContact: data.lst-cci@acri-st.fr", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://catalogue.ceda.ac.uk/api/v2/identifiers/13914/?format=api" ], "projects": [ "https://catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://catalogue.ceda.ac.uk/api/v2/rpis/219976/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219978/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219979/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219980/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219981/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219982/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219983/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219977/?format=api", "https://catalogue.ceda.ac.uk/api/v2/rpis/219984/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://catalogue.ceda.ac.uk/api/v2/composites/46034/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }