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This map presents the GLC 2000 land cover classification for South America, created through a centralized processing approach and regional expert assessment. It includes the integration of specialist areas such as NE Brazil, Andes transect, Southern Brazil, Argentina, and Magellan grasslands. The map aims to provide a comprehensive and accurate representation of South America's land cover.
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GLC 2000 – South America map Presented by H.Eva E. E. de Miranda C. di Bella V. Gond O.Huber S.Jones
Logistical Approach 1/. Centralised processing 2/. First-pass class labels 3/. Regional expert assessment of classes – re-labeling 4/. Class rationalisation 5/. Integration of specialist areas for regional product
1/. Centralised processing –the data set Creation of seasonal mosaics from S10 product Jan-Mar Apr-Jun July-Sept Oct-Dec Image selection on lowest SWIR Cloud Screening
Combining of VGT seasonal images • Masking of evergreen forest (use of TREES 2000) • Unsupervised clustering to 50 classes
2/. First pass class labeling • Semi- evergreen forest • Dry forest • Shrubs (dense / sparse) • Savannah with shrubs • Savannah • Sparse grasslands • Agriculture • Barren
Class labeling • Spectral signature • Texture and context • NDVI profile • Existing land cover maps and ancillary data
Major Problems • Cloud shadow in forest areas and Andes • Seasonal aspects not directly related to the land cover – snow / flooding / burning • Main spectral ambiguity – grasslands / agriculture • Urban areas not easy to descriminate
NE Brazil Caatingas Andes transect Southern Brazil Argentina from Monte to Steppe Magellan grasslands Main problem areas – V1.1
Venezuela Brazil Southern Cone Amazon forest 3/. Regional Experts working on data
Universidad Mayor de San Andrés Regional Experts helping with validation
4/. Integration of specialist areas for regional product • Whilst all of South America is completed to the mimimum GLC 2000 legend – some areas/land cover types will have more detailed products • NE Brazil • -Swamp forests (JERS-1 data) • -Bamboo dominated forests (Acre / Peru)
Intercontinental comparisons of vegetation dynamic from NDVI- derived parameters for each map class -maximum NDVI -adjusted minimum NDVI -range of NDVI -rates of change of NDVI -integrated NDVI -parameters of seasonality (fit of seasonally adjusted curves)
NDVI maximum monthly image – allowing intercontinental comparisons
Current Status • first draft map has been created • Errors due to spectral confusion • Lack of adequate knowledge of certain cover types • NE Brazil should be ratified with EMBRAPA by the end of March • - A final “draft” for July / August
Final Comment Importance of the Global Legend Importance of the Regional Legends and the partnerships with national experts worldwide