![JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018_sample.png)

Dataset Availability
:   2006-02-05T00:00:00Z--2019-03-14T00:00:00Z

Dataset Producer
:


    [Joint Research Center, Unit D5](https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUCAS/LUCAS_2018_Copernicus/)

Tags
:
    [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [eu](https://developers.google.com/earth-engine/datasets/tags/eu) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover) [landuse](https://developers.google.com/earth-engine/datasets/tags/landuse) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover) [lucas](https://developers.google.com/earth-engine/datasets/tags/lucas) [table](https://developers.google.com/earth-engine/datasets/tags/table)

#### Description

The
[Land Use/Cover Area frame Survey (LUCAS)](https://ec.europa.eu/eurostat/web/lucas)
in the European Union (EU) was set up to provide statistical information.
It represents a triennial in-situ landcover and land-use data-collection
exercise that extends over the whole of the EU's territory. LUCAS collects
information on land cover and land use, agro-environmental variables, soil,
and grassland. The surveys also provide spatial information to analyse the
mutual influences between agriculture, environment, and countryside, such as
irrigation and land management.

The dataset presented here is the LUCAS Copernicus module. It was set set up
in 2018 to provide Earth Observation relevant data for the first time in
LUCAS history. The dataset consist of 63,287 polygons of various sizes and
shapes with consistent land cover, making the ideal tool for polygon-based
extraction from remote sensing data. The harmonization process has improved
the land cover legend to LUCAS Level-3, and has joined, wherever deemed
appropriate, the attribute data from the 2018 LUCAS survey, augmenting the
possibilities for data extraction to the fullest potential of the LUCAS
collected variables.

The text "C1 (Instructions)" in the table schema descriptions refers to
[this document](https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUCAS/LUCAS_harmonised/3_supporting/LUCAS2018-C1-Instructions.pdf).

See also [the LUCAS points dataset](https://developers.google.com/earth-engine/datasets/catalog/JRC_LUCAS_HARMO_THLOC_V1).

### Table Schema

**Table Schema**

| Name | Type | Description |
|---|---|---|
| id | INT | Unique row identifier. Source: Added by harmonization process |
| point_id | INT | 8-digit unique point identifier, point id according to the LUCAS grid. Such a point ID can either be part or not of a particular yearly LUCAS survey. Source: C1(Instructions), p.141, sec.9.1.1 Years: all |
| year | INT | Year of survey. Source: Added by harmonization process Years: all |
| nuts0 | STRING | NUTS 2016 Level 0. Years: all |
| nuts1 | STRING | NUTS 2016 Level 1. Years: all |
| nuts2 | STRING | NUTS 2016 Level 2. Years: all |
| nuts3 | STRING | NUTS 2016 Level 3. Years: 2018 |
| office_pi | STRING | Whether photo-interpretation has happened in the office for this LUCAS point. If true, then this point_id was not visited by an inspector for this year. Values: - true - false Source: C1(Instructions), p.141, sec.9.1.1 Years: 2015, 2018 |
| ex_ante | STRING | Ex-ante points are points that are parts of the in-situ sample and in principle have to be visited in the field, although there are a posteriori reasons why this is impossible. If true, then this point_id was not visited by an inspector for this year. Values: - true - false Source: C1(Instructions), p.16, sec 8.1; C1(Instructions), p.141, sec.9.1.1 Years: 2018 |
| survey_date | STRING | Date on which the survey was carried out in the format dd/mm/yy Years: all |
| car_latitude | DOUBLE | Latitude (WGS84) on which the car was parked. Source: C1(Instructions), p.141, sec.9.1.2 Years: 2018 |
| car_ew | STRING | GPS Car parking East/West compass setting. Used for knowing when to add a minus to the respective coordinate. Values: - East - West - empty if not relevant Years: 2018 |
| car_longitude | DOUBLE | Longitude (WGS84) on which the car was parked. Source: C1(Instructions), p.142, sec.9.1.2 Years: 2018 |
| gps_proj | STRING | GPS projection. Values: - WGS84 - No GPS signal - empty if not relevant Source: C1(Instructions), p.142, sec.9.1.2 Years: all |
| gps_prec | DOUBLE | Average location error as given by GPS receiver (in meters). Source: C1(Instructions), p.142, sec.9.1.2 Years: all |
| gps_altitude | DOUBLE | Elevation in m above sea level. Source: C1(Instructions), p.141, sec.9.1.1 Years: 2009, 2012, 2015, 2018 |
| gps_lat | DOUBLE | GPS latitude of the location from which observation is actually done (WGS84) measured in degrees. Source: C1(Instructions), p.142, sec.9.1.2 Years: all |
| gps_ew | STRING | East-west encoding setting for GPS. Values: - East - West - empty if not relevant Years: all |
| gps_long | DOUBLE | GPS longitude of the location from which observation is actually done (WGS84) measured in degrees. Source: C1(Instructions), p.142, sec.9.1.2 Years: all |
| obs_dist | DOUBLE | Distance between observation location and the LUCAS point as provided by the GPS receiver (in meters). Years: all |
| obs_direct | STRING | Direction of the observation. Values: - On the point: Point regularly observed - Look to the North: "Look to the North" rule is applied if the point is located on a boundary/ e.g., or a small linear feature (\<3 m wide) - Look to the East: "Look to the East" rule is applied if the point is located on a boundary/e.g., or a small linear feature (\<3 m wide) - empty if not relevant Source: C1(Instructions), p.144, sec.9.1.4 Years: all |
| obs_type | STRING | The method of observation for the relevant point. For the availability of LUCAS photos according to obs_type, please check C1(Instructions), sec. 8.15.3. Values: - In situ \< 100 m - In situ \> 100 m - In situ PI - In situ PI not possible - Out of national territory - In office PI - Marine Sea - (only 2015) Find more details check the documentation. Source: C1(Instructions), p.142-144, sec.9.1.4 Years: all |
| letter_group | STRING | Which letter group (top tier classification) from the C3 document is the point assigned to. Source: Added by harmonization process Years: all |
| lc1 | STRING | Coding of land cover according to harmonized C3 classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: all |
| lc1_label | STRING | Label of land cover according to harmonized C3 document. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lc1_spec | STRING | Coding of land cover species according to harmonized C3 classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: 2009, 2012, 2015, 2018 |
| lc1_spec_label | STRING | Label of land cover species according to harmonized C3 document. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lc1_perc | STRING | The percentage that the assigned land cover type (lc1) occupies on the ground. Values: - \< 10 % - 10 - 25 % - 25 - 50 % - 50 - 75 % - \> 75 % - empty if not relevant This coding applies only for the years 2009-2015 . For 2018 the number represents the percentage of land-cover (0-100). The variable does not exist for 2006 Years: 2009, 2012, 2015, 2018 |
| lc2 | STRING | Coding of land cover according to harmonized C3 classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: all |
| lc2_label | STRING | Label of land cover according to harmonized C3 document. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lc2_spec | STRING | Coding of land cover species according to harmonized C3 classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: 2009, 2012, 2015, 2018 |
| lc2_spec_label | STRING | Label of land cover species according to harmonized C3 document. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lc2_perc | STRING | The percentage that the assigned land cover type (lc2) occupies on the ground. Values: - \< 10 % - 10 - 25 % - 25 - 50 % - 50 - 75 % - \> 75 % - empty if not relevant This coding applies only for the years 2009-2015 . For 2018 the number represents the percentage of land-cover (0-100). The variable does not exist for 2006 Years: 2009, 2012, 2015, 2018 |
| lu1 | STRING | Coding of the land use according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: all |
| lu1_label | STRING | Label of the land use according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lu1_type | STRING | Coding of the land use types according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: 2015, 2018 |
| lu1_type_label | STRING | Label of the land use types according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lu1_perc | STRING | The percentage that the assigned land use type (lu1) occupies on the ground. Values: - \< 5 % - 5 - 10 % - 10 - 25 % - 25 - 50 % - 50 - 75 % - 75 - 90 % - \> 90 % - Not Relevant This coding applies only for the year 2015. For 2018 the number represents the percentage of land-cover (0-100). The variable does not exist for 2006, 2009 and 2012. Years: 2015, 2018 |
| lu2 | STRING | Coding of the land use according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: all |
| lu2_label | STRING | Label of the land use according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lu2_type | STRING | Coding of the land use types according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document Years: 2015, 2018 |
| lu2_type_label | STRING | Label of the land use types according to Harmonized C3 document classification. Coding and label translation can be found in the [supporting docs](https://figshare.com/s/e6cab3bceaa9a2299237) in file *c3_legends_new.csv*. Source: Harmonized C3 document |
| lu2_perc | STRING | The percentage that the assigned land use type (lu2) occupies on the ground. Values: - \< 5 % - 5 - 10 % - 10 - 25 % - 25 - 50 % - 50 - 75 % - 75 - 90 % - \> 90 % - Not Relevant This coding applies only for the year 2015. For 2018 the number represents the percentage of land-cover (0-100). The variable does not exist for 2006, 2009 and 2012. Years: 2015, 2018 |
| parcel_area_ha | STRING | Size of the surveyed parcel in hectares. Values: - \< 0.5 - 0.5 - 1 - 1 - 10 - \> 10 - empty if not relevant Source: C1(Instructions), p.50, sec.8.4.15 Years: 2009, 2012, 2015, 2018 |
| tree_height_maturity | STRING | Height of trees at maturity. Values: - \< 5 m - \> 5 m - Not identifiable - empty if not relevant Source: C1(Instructions), p.147, sec.9.1.6 Years: 2012, 2015, 2018 |
| tree_height_survey | STRING | Height of trees at the moment of survey. Values: - \< 5 m - \> 5 m - Not identifiable - empty if not relevant Source: C1(Instructions), p.147, sec.9.1.6 Years: 2009, 2012, 2015, 2018 |
| feature_width | STRING | Width of the feature. Values: - \< 20 m - \> 20 m - Not identifiable - empty if not relevant Source: C1(Instructions), p.147, sec.9.1.6 Years: 2009, 2012, 2015, 2018 |
| lm_stone_walls | STRING | Presence of stone walls on the plot. Values: - No - Stone wall not maintained - Stone wall well maintained - empty if not relevant Source: C1(Instructions), p.148, sec.9.1.7 Years: 2018 |
| crop_residues | STRING | Presence of crop residues on the plot. Values: - true - false Source: C1(Instructions), p.51, sec.8.6 Years: 2018 |
| lm_grass_margins | STRING | Presence of grass margins on the plot. Values: - No - \< 1 m width - \> 1 m width - empty if not relevant Source: C1(Instructions), p.148, sec.9.1.7 Years: 2018 |
| grazing | STRING | Signs of grazing on the plot. Values: - Signs of grazing - No signs of grazing - empty if not relevant Source: C1(Instructions), p.148, sec.9.1.8 Years: 2009, 2012, 2015, 2018 |
| special_status | STRING | Whether the plot is a part of any specially regulated area. Values: - Protected - Hunting - Protected and hunting - No special status - empty if not relevant Source: C1(Instructions), p.149, sec.9.1.8 Years: 2012, 2015, 2018 |
| lc_lu_special_remark | STRING | Any special remarks on the land cover / land use. Values: - Harvested field - Tilled/sowed - Clear cut - Burnt area - Fire break - Nursery - Dump site - Temporary dry - Temporary flooded - No remark - empty if not relevant For more details check the documentation. Source: C1(Instructions), p.149-150, sec.9.1.8 Years: 2012, 2015, 2018 |
| cprn_cando | STRING | Whether a Copernicus survey can be done on this point. For more information on the Copernicus module and the data created please refer to [d'Andrimont et al, 2021](https://essd.copernicus.org/articles/13/1119/2021/). Values: - true - false Source: C1(Instructions), p.58, sec.8.8.1, C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprn_lc | STRING | The land cover on the Copernicus points according to the classification scheme at level2. Source: Harmonized C3 document Years: 2018 |
| cprn_lc_label | STRING | Label of land cover on the Copernicus points according to the classification scheme at level2. Source: Harmonized C3 document |
| cprn_lc1n | DOUBLE | The extent (in meters) to which the land cover of the Copernicus point stays the same in direction North. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprnc_lc1e | DOUBLE | The extent (in meters) to which the land cover of the Copernicus point stays the same in direction East. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprnc_lc1s | DOUBLE | The extent (in meters) to which the land cover of the Copernicus point stays the same in direction South. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprnc_lc1w | DOUBLE | The extent (in meters) to which the land cover of the Copernicus point stays the same in direction West. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprn_lc1n_brdth | DOUBLE | The breath (in %) to the next Copernicus land cover in direction North. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprn_lc1e_brdth | DOUBLE | The breath (in %) to the next Copernicus land cover in direction East. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprn_lc1s_brdth | DOUBLE | The breath (in %) to the next Copernicus land cover in direction South. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprn_lc1w_brdth | DOUBLE | The breath (in %) to the next Copernicus land cover in direction West. Source: C1(Instructions), p.150, sec.9.1.9 Years: 2018 |
| cprn_lc1n_next | STRING | The recorded next land cover if a land cover change (LUCAS land cover level 2) occurs within 50m in direction North, regardless of the fact that the next land cover is visible on the landscape photo or not. Any feature less than 3m wide is not taken into account and is not considered a land cover change. Source: Harmonized C3 document Years: 2018 |
| cprn_lc1s_next | STRING | The recorded next land cover if a land cover change (LUCAS land cover level 2) occurs within 50m in direction South, regardless of the fact that the next land cover is visible on the landscape photo or not. Any feature less than 3m wide is not taken into account and is not considered a land cover change. Source: Harmonized C3 document Years: 2018 |
| cprn_lc1e_next | STRING | The recorded next land cover if a land cover change (LUCAS land cover level 2) occurs within 50m in direction East, regardless of the fact that the next land cover is visible on the landscape photo or not. Any feature less than 3m wide is not taken into account and is not considered a land cover change. Source: Harmonized C3 document Years: 2018 |
| cprn_lc1w_next | STRING | The recorded next land cover if a land cover change (LUCAS land cover level 2) occurs within 50m in direction West, regardless of the fact that the next land cover is visible on the landscape photo or not. Any feature less than 3m wide is not taken into account and is not considered a land cover change. Source: Harmonized C3 document Years: 2018 |
| cprn_urban | STRING | Whether the Copernicus point located in an urban area. Values: - true - false Source: C1(Instructions), p.151, sec.9.1.10.1 Years: 2018 |
| cprn_impervious_perc | DOUBLE | Percentage of impervious surfaces. Source: C1(Instructions), p.151, sec.9.1.10.1 Years: 2018 |
| inspire_plcc1 | DOUBLE | Percentage of coniferous trees. Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc2 | DOUBLE | Percentage of broadleaved trees. Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc3 | DOUBLE | Percentage of shrubs. Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc4 | DOUBLE | Percentage of herbaceous plants. Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc5 | DOUBLE | Percentage of lichens and mosses. Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc6 | DOUBLE | Percentage of consolidated (bare) surface (e.g., rock outcrops). Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc7 | DOUBLE | Percentage of unconsolidated (bare) surface (e.g., sand). Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| inspire_plcc8 | DOUBLE | Difference between the sum of all inspire percentage classes and 100%. Source: C1(Instructions), p.151, sec.9.1.10.2 Years: 2015, 2018 |
| eunis_complex | STRING | EUNIS habitat classification. Values: - X06 - X09 - Other - Unknown - empty if not relevant Source: C1(Instructions), p.152, sec.9.1.11 Years: 2018 |
| grassland_sample | STRING | Whether the point is a part of the grassland module. Values: - true - false Source: C1(Instructions), p.152, sec.9.1.12 Years: 2018 |
| grass_cando | STRING | Whether a grassland survey is possible. Values: - true - false Source: C1(Instructions), p.152, sec.9.1.12 Years: 2018 |
| wm | STRING | Type of water management present at the point. Values: - Irrigation - Potential irrigation - Drainage - Irrigation and drainage - No visible water management - empty if not relevant Source: C1(Instructions), p.162, sec.9.1.13 Years: 2009, 2012, 2015, 2018 |
| wm_source | STRING | Source of the irrigation at the point. Values: - Combo - Other/Not Identifiable + Well - Combo - Other/Not Identifiable + Pond/Lake/Reservoir - Combo - Other/Not Identifiable + Stream/Canal/Ditch - Combo - Other/Not Identifiable + Lagoon/Wastewater - Combo - Pond/Lake/Reservoir + Stream/Canal/Ditch - Lagoon/Wastewater - Pond/Lake/Reservoir - Stream/Canal/Ditch - Well - Other/Not Identifiable - empty if not relevant Combo classes exist only for 2009 and were later discontinued. For more details check the documentation. Source: C1(Instructions), p.163, sec.9.1.13 Years: 2009 |
| wm_type | STRING | The type of irrigation present at the point. Values: - Gravity - Pressure: Sprinkle irrigation - Pressure: Micro-irrigation - Gravity/Pressure - Other/Non identifiable - Combo - Pressure: Sprinkle irrigation + Pressure: Micro-irrigation - Combo - Gravity/Pressure + Gravity - Combo - Pressure: Sprinkle irrigation + Gravity/Pressure - Combo - Pressure: Micro-irrigation + Gravity/Pressure - Other/not identifiable - Combo - Other/Non identifiable + Gravity - Combo - Other/Non identifiable + Gravity/Pressure - Combo - Other/Non identifiable + Gravity/Pressure + Pressure: Micro-irrigation - empty if not relevant Combo classes exist only for 2009 and were later discontinued. For more details check the documentation. Source: C1(Instructions), p.162-163, sec.9.1.13 Years: 2009 |
| wm_delivery | STRING | The irrigation delivery system at the point. Values: - Canal - Combo - Pipeline + Ditch - Combo - Other/Non identifiable + Ditch - Combo - Other/Non identifiable + Pipeline - Ditch - Pipeline - Other/Non identifiable - Other/Non identifiable + Canal - empty if not relevant Combo classes exist only for 2009 and were later discontinued. For more details check the documentation. Source: C1(Instructions), p.163-164, sec.9.1.13 Years: 2009 |
| erosion_cando | STRING | Whether a point is foreseen for assessing erosion (true) or not (false). Values: - true - false Source: C1(Instructions), p.168, sec.9.1.15 Years: 2018 |
| soil_stones_perc | STRING | Percentage of stones on the surface (does not include stones covered by soil). Values: - \< 10 % - 10 - 25 % - 25 - 50 % - \> 50 % - empty if not relevant This coding applies only for the years 2009-2015 . For 2018 the number represents the percentage of stones on the surface (0-100). The variable does not exist for 2006. Source: C1(Instructions), p.164, sec.9.1.14.2 Years: 2009, 2012, 2015, 2018 |
| bio_sample | STRING | Whether the point a biodiversity sample point. Values: - true - false Years: 2018 |
| soil_bio_taken | STRING | Whether a soil-biodiversity sample was taken. Values: - true - false Source: C1(Instructions) Years: 2018 |
| bulk0_10_sample | STRING | Whether a point is foreseen for collecting the bulk density between the given range. Values: - false - true Years: 2018 |
| soil_blk_0_10_taken | STRING | Whether the soil sample between the given range was taken. Values: - true - false Source: C1(Instructions) Years: 2018 |
| bulk10_20_sample | STRING | Whether a point is foreseen for collecting the bulk density between the given range. Values: - true - false Source: C1(Instructions) Years: 2018 |
| soil_blk_10_20_taken | STRING | Whether the soil sample between the given range was taken. Values: - Yes - No Source: C1(Instructions) Years: 2018 |
| bulk20_30_sample | STRING | Whether a point is foreseen for collecting the bulk density between the given range. Values: - true - false Source: C1(Instructions) Years: 2018 |
| soil_blk_20_30_taken | STRING | Whether the soil sample between the given range was taken. Values: - true - false Source: C1(Instructions) Years: 2018 |
| standard_sample | STRING | Whether the point is a standard soil point. Values: - true - false Source: C1(Instructions) Years: 2018 |
| soil_std_taken | STRING | Whether the standard soil sample was taken. Values: - true - false Source: C1(Instructions) Years: 2018 |
| organic_sample | STRING | Whether the point is an organic sample point. Values: - true - false Source: C1(Instructions) Years: 2018 |
| soil_org_depth_cando | STRING | Whether depth can be evaluated. Values: - true - false Source: C1(Instructions) Years: 2018 |
| soil_taken | STRING | Has a soil sample been taken (before 2018). Values: - Yes - Not possible - No, already taken - No sample required - empty if not relevant Source: C1(Instructions) Years: 2009, 2012, 2015 |
| soil_crop | STRING | Percentage of residual crop. Values: - \< 10 % - 10 - 25 % - 25 - 50 % - \> 50 % - empty if not relevant Source: C1(Instructions) Years: 2009, 2012, 2015 |
| photo_point | STRING | Whether a photo on the point was taken. Values: - Photo taken - Photo not taken - empty if not relevant Source: C1(Instructions) Years: all |
| photo_north | STRING | Whether a photo looking north was taken. Values: - Photo taken - Photo not taken - empty if not relevant Source: C1(Instructions) Years: all |
| photo_south | STRING | Whether a photo looking south was taken. Values: - Photo taken - Photo not taken - empty if not relevant Source: C1(Instructions) Years: all |
| photo_east | STRING | Whether a photo looking east was taken. Values: - Photo taken - Photo not taken - empty if not relevant Source: C1(Instructions) Years: all |
| photo_west | STRING | Whether a photo looking west been taken. Values: - Photo taken - Photo not taken - empty if not relevant Source: C1(Instructions) Years: all |
| transect | STRING | The changes in land cover as recorded by the east-facing transect line. Years: 2009, 2012, 2015 |
| revisit | DOUBLE | Number of visits to the point throughout the survey years. Source: Added by harmonization process |
| th_gps_dist | DOUBLE | Calculated distance between theoretical and recorded location. Source: Added by harmonization process |
| file_path_gisco_north | STRING | File path to north-facing photo as stored on ESTAT GISCO sever. Source: Added by harmonization process Years: all |
| file_path_gisco_south | STRING | File path to south-facing photo as stored on ESTAT GISCO sever. Source: Added by harmonization process Years: all |
| file_path_gisco_east | STRING | File path to east-facing photo as stored on ESTAT GISCO sever. Source: Added by harmonization process Years: all |
| file_path_gisco_west | STRING | File path to west-facing photo as stored on ESTAT GISCO sever. Source: Added by harmonization process Years: all |
| file_path_gisco_point | STRING | File path to point-facing photo as stored on ESTAT GISCO sever. Source: Added by harmonization process Years: all |
| copernicus_cleaned | STRING | Whether 'cprn_lc_same_lc1' and 'lucas_core_intersect' are both TRUE. Values: - TRUE - FALSE Source: Added by harmonization process |
| cprn_lc_same_lc1 | STRING | Whether the reported Copernicus level-2 land cover observed is the same as the one reported for the LUCAS theoretical point. Values: - TRUE - FALSE Source: Added by harmonization process |
| lucas_core_intersect | STRING | Whether the LUCAS theoretical point location falls within the LUCAS polygon. Values: - TRUE - FALSE Source: Added by harmonization process |
| th_lat | DOUBLE | Theoretical point latitude. |
| th_lon | DOUBLE | Theoretical point latitude. |

### Terms of Use

**Terms of Use**

Licensed under the Creative Commons Attribution 4.0 International License.

### Citations

Citations:

- d'Andrimont, R., Verhegghen, A., Meroni, M., Lemoine, G., Strobl, P.,
  Eiselt, B., Yordanov, M., Martinez-Sanchez, L. and van der Velde, M., 2020.
  LUCAS Copernicus 2018: Earth Observation relevant in-situ data on land cover
  throughout the European Union. Earth System Science Data Discussions, 2020,
  pp.1-19.
  [doi:10.5194/essd-13-1119-2021](https://doi.org/10.5194/essd-13-1119-2021)

### Explore with Earth Engine

> [!NOTE]
> **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)

### Code Editor (JavaScript)

```javascript
var dataset = ee.FeatureCollection(
    'JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018');

var visParams = {
  min: 35,
  max: 60,
};

// plotting the GPS latitude per polygon
var dataset2 = dataset.map(function (f) {
  return ee.Feature(f.buffer(5000));
});

var image = ee.Image().float().paint(dataset2, 'gps_lat').randomVisualizer();

Map.addLayer(ee.Image(1), {min:0, max:1}, 'background');
Map.addLayer(image, visParams, 'LUCAS Polygons');
Map.addLayer(dataset, null, 'for Inspector', false);

Map.setCenter(19.514, 51.82, 8);
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018)

### Visualize as a FeatureView


A `FeatureView` is a view-only, accelerated representation of a
`FeatureCollection`. For more details, visit the
[`FeatureView` documentation.](https://developers.google.com/earth-engine/guides/featureview_overview)

> [!NOTE]
> **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)

### Code Editor (JavaScript)

```javascript
var fvLayer = ui.Map.FeatureViewLayer('JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018_FeatureView');

var visParams = {
  pointSize: 20,
  color: 'red',
  pointFillColor: {
    property: 'inspire_plcc4',
    mode: 'linear',
    palette: ['ffffcc','c2e699','78c679','238443'],
    min: 0,
    max: 200
  }
};

fvLayer.setVisParams(visParams);
fvLayer.setName('Percentage of herbaceous plants');

Map.setCenter(18.8367, 51.9052, 8);
Map.add(fvLayer);
```
[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018_FeatureView) [LUCAS Copernicus (Polygons with attributes, 2018) V1](https://developers.google.com/earth-engine/datasets/catalog/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018) The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and land use, agro-environmental variables, soil, ... JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018, copernicus,eu,jrc,landcover,landuse,landuse-landcover,lucas,table 2006-02-05T00:00:00Z/2019-03-14T00:00:00Z 34.307144 -13.359375 71.187754 34.804688 Google Earth Engine https://developers.google.com/earth-engine/datasets

- [](https://doi.org/https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/LUCAS/LUCAS_2018_Copernicus/)
- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_LUCAS_HARMO_COPERNICUS_POLYGONS_V1_2018)