c0mm0.com — the continuously verified register of European data

Register record·DATASET·GB·AGENCYVERIFIED · checked 12h ago
N

National LIDAR Programme

DatasetQuery nowOpen workbenchSubscribe🇬🇧United Kingdom

The Environment Agency National LIDAR Programme provides accurate elevation data at 1m spatial resolution for all of England. In 2017 we divided the country into 302 survey blocks covering all of England which were subsequently captured during the winter months (approximately November to April each year) between January 2017 and February 2023. These are known as our 'Phase 1' national lidar programme surveys. Subsequently we have undertaken repeat surveys of specific blocks based on the on-going requirements for upto date elevation data. Each repeat survey block is given a new incrementing phase number, for example the second time we capture a block this is that blocks 'phase 2' whilst the 3rd time will be 'phase 3'. There is not curretly a plan to capture all the origianl phase 1 survey blocks over a rolling programme with repeat surveys be based on the requirements for upto date elevation data for an area. All data is published through the DEFRA Data Services survey portal on a quartely on-going bases and a number of different products area available for each survey block. All products are available in 5km tiles aligned to the ordnance survey grid. The tiles are named by the unique survey id, OS grid reference and the first and last survey date of the survey id (PXXXXXOSOSOSSDFLOWNEDFLOWN.). The surface models are available in GeoTiff raster format whilst the point cloud is available in.laz. An index catalogue is also available with provides survey specific information about each tile. Outlined below is a description of each product that is available for each survey block: LIDAR Point Cloud: is the discrete LIDAR returns that are used in the creation of the surface models. Supplied in *.laz format they the discrete LIDAR returns have been classified into ground, low, medium and high vegetation classes using an automated classification process. Digital Surface Model(s) (DSM) are created from the last or only LIDAR pulse returned to the sensor and con.

geospatial
38
poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (22 fields)

Click a field to see example values.

FieldTypeDescription
polygon_idPolygon idstring
dsm_fnDsm fnstring
dtm_fnDtm fnstring
fz_dsm_fnFz dsm fnstring
int_lz_fnInt lz fnstring
tilenamestring
sd_flownSd flowndateTime
ed_flownEd flowndateTime
surveysstring
seasonstring
pnt_fnPnt fnstring
resolutiondecimal
yearint
supplieddateTime
lateststring
vom_fnVom fnstring
gdb_geomattr_dataGdb geomattr datahexBinary
shapegeometry
deliveredstring
filenamestring
od_dtm_fnOd dtm fnstring
od_dsm_fnOd dsm fnstring

Schema captured from wfs 4 days ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

=

Sample data (3 records)

Record 1year: 2018 · dsm_fn: DSM_ST7525_P_10651_20180225_20180225.tif
{
  "year": 2018,
  "dsm_fn": "DSM_ST7525_P_10651_20180225_20180225.tif",
  "dtm_fn": "DTM_ST7525_P_10651_20180225_20180225.tif",
  "latest": "No",
  "pnt_fn": "ST7525_P_10651_20180225_20180225.laz",
  "season": "2017/2018",
  "vom_fn": "VOM_ST7525_P_10651_20180225_20180225.tif",
  "surveys": "18-067 [ 2018/02/25 ], 18-066 [ 2018/02/25 ]",
  "ed_flown": "2018-02-25T00:00:00Z",
  "sd_flown": "2018-02-25T00:00:00Z",
  "supplied": null,
  "tilename": "ST7525",
  "delivered": "20190218",
  "fz_dsm_fn": "FZ_DSM_ST7525_P_10651_20180225_20180225.tif",
  "int_lz_fn": "Intensity_LZ_ST7525_P_10651_20180225_20180225.tif",
  "polygon_id": "P_10651",
  "resolution": 1,
  "gdb_geomattr_data": null
}
Record 2year: 2018 · dsm_fn: DSM_ST7530_P_10651_20180225_20180225.tif
{
  "year": 2018,
  "dsm_fn": "DSM_ST7530_P_10651_20180225_20180225.tif",
  "dtm_fn": "DTM_ST7530_P_10651_20180225_20180225.tif",
  "latest": "No",
  "pnt_fn": "ST7530_P_10651_20180225_20180225.laz",
  "season": "2017/2018",
  "vom_fn": "VOM_ST7530_P_10651_20180225_20180225.tif",
  "surveys": "18-067 [ 2018/02/25 ], 18-066 [ 2018/02/25 ]",
  "ed_flown": "2018-02-25T00:00:00Z",
  "sd_flown": "2018-02-25T00:00:00Z",
  "supplied": null,
  "tilename": "ST7530",
  "delivered": "20190218",
  "fz_dsm_fn": "FZ_DSM_ST7530_P_10651_20180225_20180225.tif",
  "int_lz_fn": "Intensity_LZ_ST7530_P_10651_20180225_20180225.tif",
  "polygon_id": "P_10651",
  "resolution": 1,
  "gdb_geomattr_data": null
}
Record 3year: 2018 · dsm_fn: DSM_ST7535_P_10651_20180225_20180225.tif
{
  "year": 2018,
  "dsm_fn": "DSM_ST7535_P_10651_20180225_20180225.tif",
  "dtm_fn": "DTM_ST7535_P_10651_20180225_20180225.tif",
  "latest": "No",
  "pnt_fn": "ST7535_P_10651_20180225_20180225.laz",
  "season": "2017/2018",
  "vom_fn": "VOM_ST7535_P_10651_20180225_20180225.tif",
  "surveys": "18-067 [ 2018/02/25 ], 18-066 [ 2018/02/25 ]",
  "ed_flown": "2018-02-25T00:00:00Z",
  "sd_flown": "2018-02-25T00:00:00Z",
  "supplied": null,
  "tilename": "ST7535",
  "delivered": "20190218",
  "fz_dsm_fn": "FZ_DSM_ST7535_P_10651_20180225_20180225.tif",
  "int_lz_fn": "Intensity_LZ_ST7535_P_10651_20180225_20180225.tif",
  "polygon_id": "P_10651",
  "resolution": 1,
  "gdb_geomattr_data": null
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Query examples

curl -s 'https://environment.data.gov.uk/spatialdata/survey-index-files/wfs?service=WFS&version=2.0.0&request=GetCapabilities' -H 'Accept: application/json'

List the feature types (layers) and supported operations.

Dataset

Volume & freshness

Datasets
15
on this portal

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: wfs

Machine-readable & source

National LIDAR Programme — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.