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/40851/?format=api
{ "ob_id": 40851, "uuid": "325a4dde60d142049339e0c84816aac1", "title": "ForestScan Project: Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) and Terrestrial Laser Scanning (TLS) data of FBRMS-01: Paracou, French Guiana plot 6, 10th October to 15th November 2019", "abstract": "This dataset contains LiDAR scanning derived products (raw scanner data, geo-located point clouds, individual 3D tree models) collected over the north-eastern part (200 m x 200 m) of FBRMS-01: Paracou, French Guiana plot 6. The campaign took place from the 10th of October to the 15th of November 2019. Terrestrial LiDAR Scanning (TLS) was conducted on a regular grid with spacing of 10 m with a RIEGL VZ-400 scanner and retro-reflective targets for scan registration. Unpiloted Aerial Vehicle Laser Scanning (UAV-LS) was conducted with a RIEGL Ricopter with VUX-SYS VUX-1UAV system with varying flight heights and flight directions.\r\n\r\nThe TLS point clouds were collected to produce explicit 3D models of individual trees and subsequently estimate their above-ground biomass (AGB). The UAV-LS point clouds were collected to test scanner settings and inspect point clouds properties, in particular with regard to their suitability to model individual trees and their AGB.\r\n\r\nThe campaign was conducted by researchers Benjamin Brede, Harm Bartholomeus and Alvaro Lau of the Laboratory of Geo-Information Science and Remote Sensing of Wageningen University & Research (The Netherlands) with support from Nicolas Barbier of AMAP Lab (Botany and Modeling of Plant Architecture and Vegetation).", "keywords": "ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Terrestrial LiDAR Scanning (TLS), Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Above Ground Biomass (AGB) estimates, Carbon estimates, Forest structure", "publicationState": "citable", "dataPublishedTime": "2025-03-28T15:23:30", "doiPublishedTime": "2025-03-28T16:52:43.976092", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40852/?format=api", "dataPath": "/neodc/forestscan/data/french_guiana/paracou/TLSandUAV_ProductsandRaw_Paracou_2019", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 240803731311, "numberOfFiles": 7000, "fileFormat": "Raw and Point cloud" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12020/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3953/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The UCL team provided revised metadata for the catalogue record", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13274/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/40337/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/40623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206618/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43412/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }