LUCAS pilot study on - PowerPoint Presentation

Slide1

LUCAS pilot study on provision of harmonized land cover and land use statistics from national data sources

LUCAS „Bottom-up Approach“ (Eurostat Grant)

Stephan Arnold

Agricultural

land

use

and

areal

statistics

Federal Statistical Office

Slide2

ContentLUCAS field surveyEurostat grant LUCAS pilot studyNational approach, method, resultsConclusionOutlook Folie 2

Slide3

LUCAS surveyLUCAS – Land Use Cover Area Frame Statistical Survey Europe-wide capture of land cover and land use data, field fotosPoint sample field survey, oriented on regular 2x2 km gridfixed reference years

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

Folie 3

Slide4

-Grant: project targetSemantic harmonisation between national and European LC/LU nomenclaturesConsistence between national LC/LU statistics and estimates on European levelReduce costs and efforts of LUCAS field surveyIntegration of national initiatives into pan-European datasets (bottom-up approach), synergies with national initiatives (spatial data = micro data and/or statistical tables) Folie 4

Slide5

Grant detailsProject period18 months (2013-2014)Expected resultsReport on methodologyStatistical tableFinancingEurostat Grant (10 % own contribution)Grant holder PT, NO, NL, DE, PL, IT, EL Folie 5

Slide6

LUCAS pilot study in DE Folie 6

Slide7

Folie 7Minimum mapping unitsReference spatial unit Reference time windowSemantics, definitionsInterpretation !

Slide8

National approach in DEInformation content assessment of different data sources according to required Eurostat LC/LU-CodesCriteria: Existing data, no new data collectionNo additional costsCoverage of entire country on national levelGeo data: DLM-DE / ATKIS, Building outlines

Statistical

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

for

future

?

Copernicus (HRL

),

LPIS etc.

Folie

8

Slide9

Challenges and constraintsVarying criteria within target classes (thematic content vs minimum mapping unit)Consistence of semtantic transformationThematically unsplitable source classesReliability, quality and completness of input data sets Folie 9

Slide10

Workflow ofarea size calculation Folie 10II. Semantic Transformation I. Source code area sizesIII. Connection of area sizesV. Analysis & Plausibility

IV. Target code area

sizes

VI.

Total

area

sums

Slide11

Working steps Folie 11… 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 typesConnection of semantic transformation table with area size figures of source feature typesCalculation of area sizes for target Grant-codes and re-analysis of semantic matching accuracy

Iterative

process

Slide12

European Level: TargetALB

ALKIS

BO

National Level:

Source

DLM-DE

LUCAS

STT (a)

STT (b)

STT (c)

STT (d)

Semantic

Transformation Table (STT)

Folie

12

Slide13

Folie 13Normal Transformation strict interpretation of class definitions,=> highest possible degree of semantic correctness and plausibility=> reduced matching classes acceptedGeneralized Transformation tolerant

interpretation of class definitions, => highest possible number of unique semantic

matches between source and target definitions=> over/under-estimates acceptedAuxiliary 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

“

Semantic Transformation Table (STT)

Slide14

Folie 14Auxiliary classesLand Cover B00/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) cultivation Y00 –

Any Vegetation Z00 UnknownLand Use U100/U600 – Primary production or No other use U200/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

Semantic Transformation Table (STT)

Slide15

Total area sums for LUCAS LC-Codes Folie 15MVP = 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

24.375

CROPLAND

106.164

0

117.788

127.688

118.128

WOODLAND

107.521

107.534

13.809

107.452

120.897

SHRUBLAND

620

620

0

963

2.087

GRASSLAND

71

0

49.071

69.181

81.368

BARE LAND AND LICHENS

1.814

1.656

0

366

2.367

WATER

5.452

5.452

0

5.422

6.248

WETLAND

1.099

1.099

0

1.889

1.664

CROPLAND / GRASSLAND

53.064

0

0

0

0

CROPLAND & GRASSLAND

159299

0

166859

197349

199496

CROPLAND &

nat

VEGETATION

0

0

0

94

0

SHRUBLAND/GRASSLAND

0

0

0

7.172

0

Non-forest VEGETATION

26.470

185.741

327

0

0

Any VEGETATION

953

356

0

1.201

0UNKNOWN12.89430.156173.2665.8150Total Area column357.125357.125357.138357.665357.134Share of unique assigned areas73,85%39,45%51,39%96,04%100,00%

Delta

A

Delta

B

111 %

110 %

112 %

99,9 %

114 %

125 %

124 %

90 %

Slide16

Grant-LU-Codes Level 1ALB 2009 [DE]ALB_MVP 2009 [DE]BO 2010 [DE]DLM-DE 2009 [DE]U100Primary Production26.842.30210.919.01118.358.32030.484.833U200Secondary Production0000U300Tertiary Production810.026426.1380

424.645U400Transport Networks Logistics And Utilities1.893.552

1.785.5640206.226U500Residential use1.185.3031.185.30300U600

Other Uses or no socio-economic use

792.014

728.631

28.785

355.378

U1/600

Primary

production/No other

use

2.376.848

18.574.070

0

86.557

U2/3/400

Non-

residential

artificial

use

325.651

325.651

0

683.609

U3/400

Tertiary

production

or

TransNetLogUtilities

31.466

0

0

0

U5/800

Residential or Mixed use

0

0

0

2.265.964

U800

Mixed

use

353.135

0

0

0

U900

Unknown

/ Multiple

use

1.102.185

1.768.112

0

1.259.289

Total

area

35.712.482

35.712.482

18.387.105

35.766.501

Area

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

Folie

16

Level 1, entire country of Germany,

old model

ALB,

normal transformation

Slide17

Total area sums for LUCAS LC-Codes Folie 17MVP = Minimum common publication standardGrant-LC-Codes Level 1ALKIS 2011 [HE]%

ALKIS 2011 MVP [HE]%A00

ARTIFICIAL LAND225.23310,67%223.62210,59%B00CROPLAND605.77928,69%00,00%

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%

2.9380,14%

Z00

UNKNOWN

96.029

4,55%

110.016

5,21%

Total

area

2.111.493

2.111.493

Area

p

roportion

unique match level 194,47%52,35%Area proportion unique match level 244,62%44,32%Level 1, federal state of Hessen, new model ALKIS, normal transformation

Slide18

Grant-LU-Codes Level 1ALKIS 2011 [HE]%ALKIS 2011 MVP [HE]%U100Primary Production26.842.30282,27%10.919.01182,20%U200Secondary Production00,01%00,00%U300Tertiary Production810.0262,10%

426.1381,32%U400

Transport Networks Logistics And Utilities1.893.5527,93%1.785.5646,57%U500Residential use1.185.3034,31%1.185.3034,31%

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

35.712.482

Area

p

roportion

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

Folie

18

Level

1, federal state of Hessen, new model

ALKIS,

normal transformation

Slide19

Conclusions from LUCAS pilot studyData model change (ALB-ALKIS) in progress, finalization planned in 2016No singular source data set is capable to fulfill all LUCAS target classesCompromise 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

Folie 19

Slide20

Outlook Folie 20

Slide21

Outlook: follow-up project Folie 21Project „Cop4Stat_2015plus“Feasibility study how to use Copernicus-products to derive LC/LU information for LC/LU

statistical estimatesOrientation on user requirements from European levelSeparation of LC & LU, arable

land / grasland, use intensities, cultivation measures, seasonal patterns, statusBuild upon results of LUCAS pilot study: Which existing national data sources can be used to derive pan-European LCL/ statistics? Data materialSentinel-2 optical

imagery

(

Sentinel-1 RADAR Daten optional)

High Resolution Layer

Land Cover Model LBM-DE (

formerly

DLM-DE)

as

additional

data

Slide22

Folie 22Data flow from national to European level

C

LC/EEA

ATKIS

ALB/

ALKIS

HRL

FEtN

Stat

LUCAS/

Eurostat

European Level

Länder

-

Level

Official

areal

statistics

based

on

cadastral

data

(ALB/ALKIS)

Testing

of

alternative

data

source

: remote

sensing

DLM-

DE

FEtN

Stat

Federal

Level

Agrar

Stat

Sen-

tinel

LB/LN

„

Stat

“

BWI

IACS

!?

Slide23

EAGLE Concept Folie 23

Slide24

De-composition of landscape Folie 24From classification to characterization and description

Fotos: © Copyright

Ursus Wehrli

Slide25

Integration schema for future European Land Monitoring Framework Folie 25European Level

National

(A)Land Monitoring

Regional

(a)

Land

Monitoring

National

CLC

CLC

National

&

Sub-National Level

National

(B)

L

and Monitoring

Regional

(b)

Land

Monitoring

EAGLE

K

on

z

ept

[

C O P E R N I C U S

]

LPIS

HR

Layers

Urban

Atlas

LUCAS

INSPIRE LC+LU

compliant

Slide26

Folie 26http://land.copernicus.eu/

Slide27

We are curious … Folie 27BonnIn-situ data

& remote sensing dataabout comparison

between

Slide28

Thank you for your attention!Stephan ArnoldTelefon: +49/(0) 611 / 75 2849stephan.arnold@destatis.dewww.destatis.de

Slide29

STT: ALB – LUCAS Codes Folie 29Extraction from STT as key code matching table from the land use type of based on the cadastral „real estate book“

to LUCAS- Codes on level 1, 2, and 3

Slide30

SMC: ALB – LUCAS Codes Folie 30Extraction from the semantic match count matrix (SMC) for analysis of unique and multiple relations between source and target feature type

Slide31

Connection of source codes area sizes with target codes Folie 31