LAND COVER MAPPING OVER FranceUSING S1-S10 VEGETATION DATASET

J-L CHAMPEAUX, S. GARRIGUESMETEO-FRANCE

GLC 2000 – “FIRST RESULTS” WORKSHOPJRC – Ispra, 18-22 March 2002

Climatic stratification of France (FIRS)

0vθ

Classification methodology:

* First method

Unsupervised classification (k-means)on annual temporal 10-days (MVC) NDVI profiles

* Second method

- Selection of clear dates uniformly distributed during the year

Each pixel is defined:Pi (B0J1,B2J1,B3J1,MIRJ1,… B0Jn,B2Jn,B3Jn,MIRJn)

- Principal Component Analysis and selection of principal components the more explicative -Unsupervised classification (kmeans) on principal components

Urban Crops Pastu. BLFt MF Mix Urb+oth

Confusion matrix between LC classificationAnd Corine Land Cover used as reference

Urban

Crops

Pastures

Forests

Water

Region « CENTRE »

93.3 1.9 0.4 1.3 2. 2.1 39.8

4.2 87.5 31.7 20.2 4.7 49.1 41.0

0.3 4.3 63.2 7.5 2.8 23.3 4.8

0.4 5.2 4.5 70.4 87.7 24.5 10.3

1.6 0 0 0 1.9 0 1.7

Reliability: Urban 53%, Crops 74%, Pastures 70%,Forests 72%.

Confusion matrix between LC classificationAnd Corine Land Cover used as reference for FRANCE

Urban Crops Pastu. BLF CF MF Shrubs

Urban

Crops

Pastures

Forests

Water

Shrubs

64.4 2.2 0.6 0.9 0.7 0.7 0.4

19.4 81.3 20.2 17.9 3.8 8.7 7.2

3.4 9.0 71.0 8.8 2.9 11.2 21.1

2.9 5.6 4.3 71.6 89.2 74.9 18.0

2.3 0 0.1 0 0.9 0.2 1.2

2. 0 0.8 0.3 2.0 3.2 44.8

• Unsatisfactory detection of permanent crops

• Unsatisfactory discrimination of coniferous and broad-leaved forests

• Problem of detection of urban areas: Use of an urban mask (not up to date?)

• Detection of water bodies Use of a water mask?

•Discontinuities of land cover classes at the frontier of 2 different regions

•How to treat mixed classes in nomenclature: pastures-crops, forests-crops-pastures

Problems …questions….ANSWERS (?)

CONCLUSIONS

• Good accuracy with VEGETATION data some improvements were obtained with S1 channels (B2,B3,MIR)

•VALIDATION: we have an updated Corine Land

Cover file (Spot, Landsat 1999) for

Provence-Alpes-Cote d’Azur region

• Some problems must be solved before running the operational algorithm over France