LUCAS Copernicus (Polygons with attributes, 2018) V1

JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018
Dataset Availability
2006-02-05T00:00:00Z–2019-03-14T00:00:00Z
Dataset Provider
Earth Engine Snippet
FeatureCollection
ee.FeatureCollection("JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018")
FeatureView
ui.Map.FeatureViewLayer("JRC/LUCAS_HARMO/COPERNICUS_POLYGONS/V1/2018_FeatureView")
Tags
copernicus eu jrc landcover landuse lucas table

Description

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, 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.

See also the LUCAS points dataset.

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 id 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 he 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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 persentage 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

Explore with Earth Engine

Code Editor (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

Visualize as a FeatureView

A FeatureView is a view-only, accelerated representation of a FeatureCollection. For more details, visit the FeatureView documentation.

Code Editor (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
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,lucas,table
2006-02-05T00:00:00Z/2019-03-14T00:00:00Z
34.307144 -13.359375 71.187754 34.804688
Google Earth Engine