Raster List
API endpoint for rasterlayer objects.
Rasterlayers visualise raster data. The actual data is contained in
rastersources. To connect a rasterlayer to a rastersource, configure the
rasterlayer's source field as follows:
{
"graph": {
"rastersource": [
"lizard_nxt.blocks.LizardRasterSource",
"<uuid of a rastersource object>"
]
},
"name": "rastersource"
}
Note that the organisations of the rastersource and rasterlayer should be
equal. The raster_sources field cannot be used to configure the source:
it is merely a (read-only) hyperlink to the /rastersources endpoint.
GeoBlocks
Instead of directly visualising a raster source, raster layers can also
perform on-the-fly operations on multiple raster sources. This can be done
by extending the above example for the source field. See
https://docs.lizard.net. Note that the rasterlayers's organisation must
have geoblocks-permissions to be able to use this feature.
Deletion
If a rasterlayer is deleted, its raster sources (see /rastersources endpoint) will remain available. These need to be cleaned up seperately, or else they will keep using space.
If a rastersource was deleted while there was a rasterlayer referencing it,
the rasterlayer will become broken. In this case, the deleted rastersources
will be listed in the source.deleted_sources field.
Query parameters:
name
Text filter on the name field. All text field filter methods,
like startswith, endswith, icontains are supported.
uuid
Filter on uuid field. UUIDs must be separated by commas and must be
specified in their canonical textual representation (in their
8-4-4-4-12 form, that is). Filtering is case insensitive and may be
done across relationships.
organisation
Filter on Organisations.
observation_type
Filter on ObservationType.
layer_collections
Filter on LayerCollection.
first_value_timestamp
Temporal filter on first_value_timestamp.
last_value_timestamp
Temporal filter on last_value_timestamp.
raster_sources__uuid
Show rasters that make use of a raster_source with given uuid.
access_modifier
Filter on access_modifier, options are 'Public', 'Private', 'Common', or 'Hidden'.
ordering
Show the results in a specific order.
You can order them by name, last_modified, supplier,
temporal, access_modifier, first_value_timestamp,
last_value_timestamp, observation_type, observation_type__code,
observation_type__parameter, observation_type__unit, and
organisation__name. Add a - in front to reverse the order.
created:
Temporal filter on created. Supports various lookup types
(exact, lt, lte, gt, gte; created__exact by default).
Filter values should be specified in ISO 8601 YYYY-MM-DDThh:mm:ssZ format.
last_modified:
Temporal filter on last_modified. Supports various lookup types
(exact, lt, lte, gt, gte; last_modified__exact by default).
Filter values should be specified in ISO 8601 YYYY-MM-DDThh:mm:ssZ format.
Examples
?name__icontains=Elevation
?organisation__name=DDSC
?organisation__uuid=61f5a464c35044c19bc7d4b42d7f58cb
?organisation__name__startswith=Nelen
?organisation__name__icontains=Schuur
?observation_type__code=HOOGTEmNAP
?observation_type__parameter=Hoogte
?uuid=10415ccb-ec31-4d43-bdb3-db597061527b,
4a544b7a-772b-45fb-9aa4-a69447f34f52
?first_value_timestamp=2016-06-21T06:05:00Z
?first_value_timestamp__lt=2016-06-21T06:05:00Z
?layer_collections__slug=10855cc
?raster_sources__uuid=10415ccb-ec31-4d43-bdb3-db597061527b
?access_modifier=Private
?access_modifier=100
?ordering=name
?ordering=-last_modified
?created__gte=2017-01-01T00:00:00Z
?last_modified__lt=2018-01-01T00:00:00Z
GET /api/v4/rasters/?format=api&page=23
{ "count": 2103, "next": "https://demo.lizard.net/api/v4/rasters/?format=api&page=24", "previous": "https://demo.lizard.net/api/v4/rasters/?format=api&page=22", "results": [ { "url": "https://demo.lizard.net/api/v4/rasters/de2a4272-d105-4a70-bc8e-b7d632107aa3/?format=api", "uuid": "de2a4272-d105-4a70-bc8e-b7d632107aa3", "last_modified": "2022-01-18T10:16:34.251613Z", "created": "2020-03-23T09:17:44.839775Z", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": "maud.vandelden", "shared_with": [], "writable": false, "is_geoblock": true, "weight": 4, "name": "Verandering gemiddeld lage grondwaterstand (WH2050)", "description": "De Gemiddeld Laagste Grondwaterstand, kortweg GLG, geeft een goed beeld van de grondwaterstanden ten tijde van droogte en kan gebruikt worden bij het vaststellen van de impact van droogte op de leefomgeving. U ziet hier de verandering van de laagste grondwaterstand (GLG) in het W+ scenario 2050 klimaat ten opzichte van het huidige referentieklimaat (2015).\r\n\r\nBron: AgrifoodCapital", "observation_type": { "url": "https://demo.lizard.net/api/v4/observationtypes/8669/?format=api", "id": 8669, "code": "GLG.verschil", "parameter": "Stijghoogteverschil", "unit": "m", "scale": "interval", "description": "", "domain_values": null, "reference_frame": null, "compartment": "GW", "created": "2022-01-18T10:16:30.578618Z", "last_modified": "2022-01-18T10:16:30.578573Z" }, "temporal": false, "layer_collections": [ { "url": "https://demo.lizard.net/api/v4/layercollections/as50_klimaatatlas/?format=api", "slug": "as50_klimaatatlas", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": "remo.vantilburg", "created": "2020-05-06T14:57:38.997174Z", "last_modified": "2020-05-07T14:39:30.517746Z" } ], "first_value_timestamp": "1970-01-01T00:00:00Z", "last_value_timestamp": "1970-01-01T00:00:00Z", "spatial_bounds": { "west": 4.0087319553833645, "east": 6.041170285703782, "north": 51.833078520820536, "south": 51.18593720572385 }, "projection": "EPSG:3857", "origin_x": 446250.0, "origin_y": 6654250.0, "upper_bound_x": 672500.0, "upper_bound_y": 6770000.0, "pixelsize_x": 250.0, "pixelsize_y": -250.0, "interval": null, "wms_info": { "endpoint": "https://demo.lizard.net/wms/", "layer": "1838_as50_verandering_glg" }, "options": { "styles": "GlG_Oss" }, "rescalable": true, "aggregation_type": "none", "dtype": null, "fill_value": null }, { "url": "https://demo.lizard.net/api/v4/rasters/2a99cbf4-db9e-404a-8d42-1880e3999898/?format=api", "uuid": "2a99cbf4-db9e-404a-8d42-1880e3999898", "last_modified": "2021-07-08T12:06:33.070120Z", "created": "2020-03-24T16:19:33.512053Z", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/e29fe554-2610-4037-b4b1-4e6bd37a7881/?format=api", "uuid": "e29fe554-2610-4037-b4b1-4e6bd37a7881", "name": "Den Haag" }, "access_modifier": "Public", "supplier": "kasper.lange", "shared_with": [], "writable": false, "is_geoblock": false, "weight": 0, "name": "Laagste grondwaterstand bij 2 droge jaren na elkaar (2003 en 2018) ten opzichte van 2015-2017", "description": "Stress-scenario met twee droge jaren (bron: ‘Droogte in Den Haag, mogelijke stress voor de toekomst’, Aveco de Bondt, 2020)\r\n\r\nGrondwaterstanddalingen bij twee droge jaren op rij. Het klimaat verandert en de scenario’s geven aan dat het in Nederland daardoor voor langere perioden mogelijk ook droger wordt Op basis van metingen en uitgebreide modellering is in beeld gebracht wat de effecten van droogte kunnen zijn. In 2018 hebben we al een erg droog jaar meegemaakt. Toen is de extra grondwaterstandsdaling op de meeste plekken beperkt gebleven tot ongeveer 10cm, maar bijvoorbeeld in parken was de situatie soms ernstiger door verdamping (zie de kaart: Laagste grondwaterstanden in droge zomer 2018).\r\n\r\nDe klimaatscenario’s geven aan dat droge jaren vaker voorkomen en als droge jaren na elkaar voorkomen, dan versterkt dit de ernst. Twee droge jaren zoals 2018 of 2003 achter elkaar geeft een veel groter effect (zie de kaart: Stress-scenario met twee droge jaren). Dit kan er mogelijk toe leiden dat funderingen droog komen te staan, of dat bodemdaling optreedt (zie de kaart: Bodemdaling in de droge jaren 2018 en 2019).\r\n\r\nMocht u geïnteresseerd zijn in meer gedetailleerde informatie en inzicht in de kwetsbaarheden in onze stad, dan verwijzen we u naar het rapport ‘Droogte in Den Haag, mogelijke stress voor de toekomst’ downloaden (Aveco de Bondt, 2020).", "observation_type": { "url": "https://demo.lizard.net/api/v4/observationtypes/500/?format=api", "id": 500, "code": "Waterlevel", "parameter": "Waterlevel", "unit": "m", "scale": "interval", "description": "", "domain_values": null, "reference_frame": "MSL", "compartment": "", "created": "2016-04-26T07:35:56.545260Z", "last_modified": "2019-06-25T07:26:10.441021Z" }, "temporal": false, "layer_collections": [ { "url": "https://demo.lizard.net/api/v4/layercollections/denhaag_klimaatatlas/?format=api", "slug": "denhaag_klimaatatlas", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/e29fe554-2610-4037-b4b1-4e6bd37a7881/?format=api", "uuid": "e29fe554-2610-4037-b4b1-4e6bd37a7881", "name": "Den Haag" }, "access_modifier": "Public", "supplier": "jelmer.roosjen", "created": "2021-06-01T14:48:16.651399Z", "last_modified": "2021-07-08T12:33:46.506483Z" } ], "first_value_timestamp": "1970-01-01T00:00:00Z", "last_value_timestamp": "1970-01-01T00:00:00Z", "spatial_bounds": { "west": 4.183017201208829, "east": 4.423361614535009, "north": 52.1361676995365, "south": 52.01378605613654 }, "projection": "EPSG:28992", "origin_x": 72556.0, "origin_y": 447951.0, "upper_bound_x": 88836.0, "upper_bound_y": 461326.0, "pixelsize_x": 5.0, "pixelsize_y": -5.0, "interval": null, "wms_info": { "endpoint": "https://demo.lizard.net/wms/", "layer": "den-haag:laagste-grondwaterstand-bij-2-droge-jaren-na-elkaar-200" }, "options": { "styles": "denhaag_uitzakking_laagste_gws:0:0.4" }, "rescalable": false, "aggregation_type": "curve", "dtype": null, "fill_value": null }, { "url": "https://demo.lizard.net/api/v4/rasters/95dddda2-d9ef-4d13-baca-8fc1c4cb8f6b/?format=api", "uuid": "95dddda2-d9ef-4d13-baca-8fc1c4cb8f6b", "last_modified": "2021-07-08T12:07:02.560869Z", "created": "2020-03-24T16:24:27.524684Z", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/e29fe554-2610-4037-b4b1-4e6bd37a7881/?format=api", "uuid": "e29fe554-2610-4037-b4b1-4e6bd37a7881", "name": "Den Haag" }, "access_modifier": "Public", "supplier": "kasper.lange", "shared_with": [], "writable": false, "is_geoblock": false, "weight": 0, "name": "Laagste grondwaterstand 2018 tov 2015-2017", "description": "Laagste grondwaterstanden in droge zomer 2018 (bron: ‘Droogte in Den Haag, mogelijke stress voor de toekomst’, Aveco de Bondt, 2020)\r\n\r\nGrondwaterstandsdalingen bij droge zomer 2018. Op deze kaart is te zien wat de grondwaterstandsdalingen in Den Haag waren in de droge zomer van 2018. De kaart is gebaseerd op het gemeentelijk grondwatermodel en waarnemingen in bijna 600 meetpunten, waarvan 50 continu registreren. De zomer van 2018 was uitzonderlijk droog, maar zij volgde op een ook uitzonderlijk natte winterperiode. Daardoor was er een buffer aanwezig om de droogte op te vangen. Toch heeft het tot laat in de winter geduurd voor de situatie weer een beetje genormaliseerd was.", "observation_type": { "url": "https://demo.lizard.net/api/v4/observationtypes/824/?format=api", "id": 824, "code": "Waterlevel(mLGH)", "parameter": "Water level", "unit": "m", "scale": "interval", "description": "Parramatta", "domain_values": null, "reference_frame": "LGH", "compartment": "", "created": "2017-07-14T14:19:40.917789Z", "last_modified": "2019-06-25T07:26:10.441021Z" }, "temporal": false, "layer_collections": [ { "url": "https://demo.lizard.net/api/v4/layercollections/denhaag_klimaatatlas/?format=api", "slug": "denhaag_klimaatatlas", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/e29fe554-2610-4037-b4b1-4e6bd37a7881/?format=api", "uuid": "e29fe554-2610-4037-b4b1-4e6bd37a7881", "name": "Den Haag" }, "access_modifier": "Public", "supplier": "jelmer.roosjen", "created": "2021-06-01T14:48:16.651399Z", "last_modified": "2021-07-08T12:33:46.506483Z" } ], "first_value_timestamp": "1970-01-01T00:00:00Z", "last_value_timestamp": "1970-01-01T00:00:00Z", "spatial_bounds": { "west": 4.183017201208829, "east": 4.423361614535009, "north": 52.1361676995365, "south": 52.01378605613654 }, "projection": "EPSG:28992", "origin_x": 72556.0, "origin_y": 447951.0, "upper_bound_x": 88836.0, "upper_bound_y": 461326.0, "pixelsize_x": 5.0, "pixelsize_y": -5.0, "interval": null, "wms_info": { "endpoint": "https://demo.lizard.net/wms/", "layer": "den-haag:den-haag-laagste-grondwaterstand-2018-ten-opzichte-van-" }, "options": { "styles": "denhaag_uitzakking_laagste_gws:0:0.4" }, "rescalable": false, "aggregation_type": "curve", "dtype": null, "fill_value": null }, { "url": "https://demo.lizard.net/api/v4/rasters/07b664ee-720a-4a7c-8ec2-853b1da82ce0/?format=api", "uuid": "07b664ee-720a-4a7c-8ec2-853b1da82ce0", "last_modified": "2020-05-08T06:49:29.503789Z", "created": "2020-03-25T15:33:15.096698Z", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": "maud.vandelden", "shared_with": [], "writable": false, "is_geoblock": true, "weight": 4, "name": "Boombedekking", "description": "Bomen zorgen voor verkoeling, zowel door de schaduw die ze bieden als via verdamping. Bomen raken hun warmte kwijt door de huidmondjes op hun bladeren open te zetten en water te laten verdampen. Dit draagt bij aan temperatuurdaling. Dankzij deze mechanismen speelt de aanwezigheid van bomen een belangrijke rol bij (het tegengaan van) hittestress.\r\n\r\nDe boombedekkingskaart laat zien welke plekken door bomen bedekt worden. Het gaat hierbij niet alleen om bomen van de gemeente maar ook om bomen van particulieren. Deze bomen zorgen voor een belangrijk deel voor verkoeling bij extreme hitte.\r\n\r\nDe boombedekkingskaart is afgeleid uit de ongefilterde hoogtekaart (AHN3) uit 2017.", "observation_type": { "url": "https://demo.lizard.net/api/v4/observationtypes/959/?format=api", "id": 959, "code": "tree", "parameter": "Boomhoogte", "unit": "cm", "scale": "interval", "description": "Bomen", "domain_values": null, "reference_frame": null, "compartment": null, "created": "2018-05-14T09:54:59.851449Z", "last_modified": "2019-06-25T07:26:10.441021Z" }, "temporal": false, "layer_collections": [ { "url": "https://demo.lizard.net/api/v4/layercollections/as50_klimaatatlas/?format=api", "slug": "as50_klimaatatlas", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": "remo.vantilburg", "created": "2020-05-06T14:57:38.997174Z", "last_modified": "2020-05-07T14:39:30.517746Z" } ], "first_value_timestamp": "1970-01-01T00:00:00Z", "last_value_timestamp": "1970-01-01T00:00:00Z", "spatial_bounds": { "west": 3.253713155100211, "east": 6.9711669303563335, "north": 53.54440925680275, "south": 50.73417297437435 }, "projection": "EPSG:28992", "origin_x": 13564.4, "origin_y": 306844.0, "upper_bound_x": 260000.0, "upper_bound_y": 618750.0, "pixelsize_x": 0.5, "pixelsize_y": -0.5, "interval": null, "wms_info": { "endpoint": "https://demo.lizard.net/wms/", "layer": "1838_as50_boombedekking" }, "options": { "styles": "Greens_boombedekking:0:5000" }, "rescalable": true, "aggregation_type": "curve", "dtype": null, "fill_value": null }, { "url": "https://demo.lizard.net/api/v4/rasters/c98aa205-f2ce-48df-8c96-05dfb5809d42/?format=api", "uuid": "c98aa205-f2ce-48df-8c96-05dfb5809d42", "last_modified": "2020-05-08T06:44:32.480939Z", "created": "2020-03-31T14:12:50.719061Z", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": "maud.vandelden", "shared_with": [], "writable": false, "is_geoblock": true, "weight": 4, "name": "Landgebruik", "description": "Deze landgebruikskaart is samengesteld op basis van de volgende openbare databronnen: het BAG-register, de TOP10NL, de Basisregistratiegewaspercelen, het NWB en de BGT. Deze databronnen worden in de landgebruikskaart gecombineerd. Hierdoor is een optimaal onderscheid te maken tussen de verschillende landgebruikscategorieën.", "observation_type": { "url": "https://demo.lizard.net/api/v4/observationtypes/502/?format=api", "id": 502, "code": "KLASSE", "parameter": "Klasse", "unit": "", "scale": "nominal", "description": "", "domain_values": null, "reference_frame": "", "compartment": "", "created": "2016-04-26T07:49:44.396529Z", "last_modified": "2019-06-25T07:26:10.441021Z" }, "temporal": false, "layer_collections": [ { "url": "https://demo.lizard.net/api/v4/layercollections/as50_klimaatatlas/?format=api", "slug": "as50_klimaatatlas", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": "remo.vantilburg", "created": "2020-05-06T14:57:38.997174Z", "last_modified": "2020-05-07T14:39:30.517746Z" } ], "first_value_timestamp": "1970-01-01T00:00:00Z", "last_value_timestamp": "1970-01-01T00:00:00Z", "spatial_bounds": { "west": 3.253713155100211, "east": 7.243161224559517, "north": 53.54488089129097, "south": 50.73417297437435 }, "projection": "EPSG:28992", "origin_x": 13564.4, "origin_y": 306844.0, "upper_bound_x": 278026.4, "upper_bound_y": 619234.0, "pixelsize_x": 0.5, "pixelsize_y": -0.5, "interval": null, "wms_info": { "endpoint": "https://demo.lizard.net/wms/", "layer": "1838_as50_landgebruiks" }, "options": { "styles": "lc-fun_klimaatatlas" }, "rescalable": false, "aggregation_type": "counts", "dtype": null, "fill_value": null }, { "url": "https://demo.lizard.net/api/v4/rasters/76e8e0ad-457d-4c9a-9292-330eddcc4089/?format=api", "uuid": "76e8e0ad-457d-4c9a-9292-330eddcc4089", "last_modified": "2020-05-26T07:53:13.040622Z", "created": "2020-04-02T13:40:15.242211Z", "organisation": { "url": "https://demo.lizard.net/api/v4/organisations/5d0509a3-699e-41b7-8074-22d66494e093/?format=api", "uuid": "5d0509a3-699e-41b7-8074-22d66494e093", "name": "AS50+" }, "access_modifier": "Public", "supplier": null, "shared_with": [], "writable": false, "is_geoblock": true, "weight": 9, "name": "Waterdiepte bij extreme neerslag (70 mm)", "description": "Dit waterdieptebeeld hoort bij een bui van 70 millimeter in één uur (kans van ongeveer eens in de 100 jaar voor het klimaat in 2050) en is gemaakt met het modelinstrumentarium 3Di. De kaart laat het beeld op het maaiveld zien aan het einde van deze piekbui. De resolutie van de resultaten is 0,25 m2.\r\n\r\nVerantwoording\r\n\r\nIn het model is het gehele terrein (land en water) in 2D geschematiseerd in verschillende ruimtelijke rasterlagen: hoogte, infiltratie, bodemberging en stromingsweerstand. Voor meer informatie over de gebruikte hoogtegegevens, zie kaart de 'Hoogte'. In de modellen is het watersysteem integraal onderdeel van het model. De verbindende kunstwerken (duikers en bruggen) zijn in het 2D-model verwerkt (met uitzondering van het afstroomgebied van de Dommel in Meijerijstad). De profielen van de watergangen boven streefpeil zitten nauwkeurig in het model. Zo is de berging van het watersysteem goed meegenomen. 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