EFGS 2015 | Vienna | 10.-12. November 2015 LUCAS pilot study on provision of harmonized land cover and land use statistics from national data sources LUCAS.

EFGS 2015 | Vienna | 10.-12. November 2015

LUCAS pilot study on provision of harmonized land cover

and land use statistics from national data sources

LUCAS „Bottom-up Approach“ (Eurostat Grant)

Stephan ArnoldAgricultural land use and areal statistics

Federal Statistical Office


Destatis - Stephan Arnold - LUCAS pilot study 2013-2014

Content LUCAS field survey

Eurostat grant LUCAS pilot study

National approach, method, results

Conclusion

Outlook

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LUCAS survey LUCAS – Land Use Cover Area Frame Statistical Survey

Europe-wide capture of land cover and land use data, field fotos

Point sample field survey, oriented on regular 2x2 km grid

fixed reference years in a 3-year cycle (2006 – 2009 – 2012 – 2015 – 2018)

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-Grant: project target

Semantic harmonisation between national and European LC/LU nomenclatures

Consistence between national LC/LU statistics and estimates on European level

Reduce costs and efforts of LUCAS field survey

Integration of national initiatives into pan-European datasets (bottom-up approach), synergies with national initiatives (spatial data = micro data and/or statistical tables)

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Grant details Project period

18 months (2013-2014) Expected results

Report on methodology Statistical table

Financing Eurostat Grant

(10 % own contribution) Grant holder

PT, NO, NL, DE, PL, IT, EL

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LUCAS pilot study in DE

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Destatis - Stephan Arnold - LUCAS pilot study 2013-2014 Folie 7

Minimum mapping units

Reference spatial unit

Reference time window

Semantics, definitions

Interpretation !



National approach in DE Information content assessment of different

data sources according to required Eurostat LC/LU-Codes

Criteria:

Existing data, no new data collection

No additional costs

Coverage of entire country on national level

Geo data: DLM-DE / ATKIS, Building outlines

Statistical data:LU stats (ALB/ALKIS)Crop statistics (BO)

Other sources for future ?

Copernicus (HRL), LPIS etc.

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Challenges and constraints

Varying criteria within target classes (thematic content vs minimum mapping unit)

Consistence of semtantic transformation

Thematically unsplitable source classes

Reliability, quality and completness of input data sets

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Workflow ofarea size calculation

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II. Semantic Transformation

I. Source code area sizes

III. Connection of area sizes

V. Analysis & Plausibility

IV. Target code area sizes

VI. Total area sums



Working steps

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… for the derivation of LC/LU-Statistics: Semantic Transformation (Key code matching) between

source feature types and target classes

Preprocessing of area sizes figures of source feature types

Connection of semantic transformation table with area size figures of source feature types

Calculation of area sizes for target Grant-codes and re-analysis of semantic matching accuracy

Iterative process



European Level: Target

ALB ALKIS BONational Level: Source

DLM-DE

LUCAS

STT (a) STT (b) STT (c) STT (d)

Semantic Transformation Table (STT)

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Normal Transformation strict interpretation of class definitions,

=> highest possible degree of semantic correctness and plausibility

=> reduced matching classes accepted

Generalized Transformation tolerant interpretation of class definitions,

=> highest possible number of unique semantic matches between source and target definitions

=> over/under-estimates accepted

Auxiliary classeswork around for non-matching source feature types

=> 100% of area assigned to a class (required / auxiliary) => leftovers at least partly separated from „no match“




Auxiliary classes

Land CoverB00/E00 – CROPLAND or GRASSLAND (agricultural areas)B00&E00 – CROPLAND and GRASSLAND (CLC 242)B00&X00 – CROPLAND and natural Vegetation (CLC 243)D00/E00 – SHRUBLAND or Grassland (CLC 324)V00 – Non-forest Vegetation „Landwirtschaftsfläche“ = land under (possible) cultivationY00 – Any VegetationZ00 Unknown

Land UseU100/U600 – Primary production or No other useU200/U300/U400 – Non-residential artificial use (commerce and industry)U500/U800 – Residential or Mixed use (CLC 111, 112)U800 – Mixed use (ALB residential with commercial/public) U900 – Unknown / Various use




Total area sums for LUCAS LC-Codes

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MVP = Minimum common publication standard

Level 1 codes, normal transformation, area size results of uninque matches

ALB 2009

ALB_MVP 2009

BO 2010

DLM-DE 2009

LUCAS 2009

ARTIFICIAL LAND 41.004 24.512 2.877 30.036 24.375CROPLAND 106.164 0 117.788 127.688 118.128WOODLAND 107.521 107.534 13.809 107.452 120.897SHRUBLAND 620 620 0 963 2.087GRASSLAND 71 0 49.071 69.181 81.368BARE LAND AND LICHENS 1.814 1.656 0 366 2.367WATER 5.452 5.452 0 5.422 6.248WETLAND 1.099 1.099 0 1.889 1.664CROPLAND / GRASSLAND 53.064 0 0 0 0CROPLAND & GRASSLAND 159299 0 166859 197349 199496

CROPLAND & nat VEGETATION 0 0 0 94 0SHRUBLAND/GRASSLAND 0 0 0 7.172 0Non-forest VEGETATION 26.470 185.741 327 0 0Any VEGETATION 953 356 0 1.201 0UNKNOWN 12.894 30.156 173.266 5.815 0Total Area column 357.125 357.125 357.138 357.665 357.134Share of unique assigned areas 73,85% 39,45% 51,39% 96,04% 100,00%

Delta A Delta B

111 % 110 %112 % 99,9 %

114 %

125 % 124 %

90 %



Grant-LU-Codes Level 1ALB 2009

[DE]ALB_MVP 2009 [DE]

BO 2010 [DE]

DLM-DE 2009 [DE]

U100 Primary Production 26.842.302 10.919.011 18.358.320 30.484.833U200 Secondary Production 0 0 0 0U300 Tertiary Production 810.026 426.138 0 424.645U400 Transport Networks Logistics

And Utilities 1.893.552 1.785.564 0 206.226U500 Residential use 1.185.303 1.185.303 0 0U600 Other Uses or no socio-

economic use 792.014 728.631 28.785 355.378U1/600 Primary production/No other use 2.376.848 18.574.070 0 86.557U2/3/400 Non-residential artificial use 325.651 325.651 0 683.609U3/400 Tertiary production or

TransNetLogUtilities 31.466 0 0 0U5/800 Residential or Mixed use 0 0 0 2.265.964U800 Mixed use 353.135 0 0 0U900 Unknown / Multiple use 1.102.185 1.768.112 0 1.259.289Total area 35.712.482 35.712.482 18.387.105 35.766.501Area proportion unique match level 1 88,27% 42,13% 51,48% 88,12%Area proportion unique match level 2 86,99% 41,01% 50,77% 88,12%

Total area sums for LUCAS LU-Codes

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Level 1, entire country of Germany, old model ALB, normal transformation



Total area sums for LUCAS LC-Codes

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MVP = Minimum common publication standard

Grant-LC-Codes Level 1 ALKIS 2011 [HE]

% ALKIS 2011 MVP [HE]

%

A00 ARTIFICIAL LAND 225.233 10,67% 223.622 10,59%B00 CROPLAND 605.779 28,69% 0 0,00%C00 WOODLAND 838.129 39,69% 838.129 39,69%D00 SHRUBLAND 9.215 0,44% 9.215 0,44%E00 GRASSLAND 281.994 13,36% 0 0,00%F00 BARE LAND AND LICHENS 5.242 0,25% 5.242 0,25%G00 WATER 28.566 1,35% 28.566 1,35%H00 WETLAND 518 0,02% 518 0,02%B00/E00 CROPLAND / GRASSLAND 5.244 0,25% 893.249 42,30%B00&E00 CROPLAND & GRASSLAND 0 0,00% 0 0,00%B00&X00 CROPLAND &n at.VEGETATION 0 0,00% 0 0,00%D00/E00 SHRUBLAND/GRASSLAND 0 0,00% 0 0,00%V00 Non-forest VEGETATION 231 0,01% 0 0,00%Y00 Any VEGETATION 15.314 0,73% 2.938 0,14%Z00 UNKNOWN 96.029 4,55% 110.016 5,21%Total area 2.111.493 2.111.493Area proportion unique match level 1 94,47% 52,35%Area proportion unique match level 2 44,62% 44,32%

Level 1, federal state of Hessen, new model ALKIS, normal transformation



Grant-LU-Codes Level 1ALKIS 2011

[HE]%

ALKIS 2011 MVP [HE]

%

U100 Primary Production 26.842.302 82,27% 10.919.011 82,20%U200 Secondary Production 0 0,01% 0 0,00%U300 Tertiary Production 810.026 2,10% 426.138 1,32%U400 Transport Networks Logistics And

Utilities 1.893.552 7,93% 1.785.564 6,57%U500 Residential use 1.185.303 4,31% 1.185.303 4,31%U600 Other Uses or no socio-economic

use 792.014 0,73% 728.631 0,43%U1/600 Primary production / No other use 2.376.848 0,56% 18.574.070 0,43%U2/3/400 Non-residential artificial use 325.651 0,71% 325.651 0,87%U3/400 Tertiary production or TransNetLogUt 31.466 0,08% 0 0,79%U5/800 Residential or Mixed use 0 0,00% 0 0,00%U800 Mixed use 353.135 1,08% 0 1,12%U900 Unknown / Multiple use 1.102.185 0,22% 1.768.112 1,95%Total area 35.712.482 35.712.482Area proportion unique match level 1 97,35% 94,83%Area proportion unique match level 2 97,03% 94,82%

Total area sums for LUCAS LU-Codes

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Level 1, federal state of Hessen, new model ALKIS, normal transformation



Conclusions from LUCAS pilot study Data model change (ALB-ALKIS) in

progress, finalization planned in 2016

No singular source data set is capable to fulfill all LUCAS target classes

Compromise approach for statistical tables:

LC covered by ALB/ALKIS/DLM-DE + BO (with leftover)

LU covered by ALKIS

=> Data mining is possible in principle, plausible total area size has to be met

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Outlook

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Outlook: follow-up project

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Project „Cop4Stat_2015plus“ Feasibility study how to use Copernicus-products to

derive LC/LU information for LC/LU statistical estimates

Orientation on user requirements from European level

Separation of LC & LU, arable land / grasland, use intensities, cultivation measures, seasonal patterns, status

Build upon results of LUCAS pilot study: Which existing national data sources can be used to derive pan-European LCL/ statistics?

Data material Sentinel-2 optical imagery (Sentinel-1 RADAR Daten

optional)

High Resolution Layer

Land Cover Model LBM-DE (formerly DLM-DE) as additional data



Data flow from national to European level

CLC/EEA

ATKISALB/

ALKIS

HRL

FEtNStat

LUCAS/Eurostat

European Level

Länder-Level

Official areal statistics based on cadastral data (ALB/ALKIS)

Testing of alternative data source: remote sensing

DLM-DE

FEtNStat

Federal Level

AgrarStat

Sen-tinel

LB/LN„Stat“

BWI

IACS!?



EAGLE Concept

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De-composition of landscape

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From classification to characterization and description

Fotos: © Copyright Ursus Wehrli



Integration schema for future European Land Monitoring Framework

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European Level

National (A)Land Monitoring

Regional (a)Land Monitoring

National CLC

CLC

National &Sub-National Level

National (B)Land Monitoring

Regional (b)Land Monitoring

EAGLE Konzept

[C O P E R N I C U S]

LPISHR

LayersUrbanAtlas

LUCAS

INSPIRE LC+LU compliant



http://land.copernicus.eu/



We are curious …

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In-situ data

& remote sensing data

about comparison between


Thank you for your attention!

Stephan ArnoldTelefon: +49/(0) 611 / 75 [email protected]

EFGS 2015 | Vienna | 10.-12. November 2015 LUCAS pilot study on provision of harmonized land cover and land use statistics from national data sources LUCAS.

Documents

land use data

national data sourceslucas

national levelgeo data

resultsconclusionoutlook

outlinesstatistical

existing data

national lclu statistics

land use statistics