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| Titel |
Mapping Congo Basin vegetation types from 300 m and 1 km multi-sensor time series for carbon stocks and forest areas estimation |
| VerfasserIn |
A. Verhegghen, P. Mayaux, C. Wasseige, P. Defourny |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 9, no. 12 ; Nr. 9, no. 12 (2012-12-10), S.5061-5079 |
| Datensatznummer |
250007457
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| Publikation (Nr.) |
 copernicus.org/bg-9-5061-2012.pdf |
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| Zusammenfassung |
| This study aims to contribute to the understanding of the Congo Basin
forests by delivering a detailed map of vegetation types with an improved
spatial discrimination and coherence for the whole Congo Basin region. A
total of 20 land cover classes were described with the standardized Land
Cover Classification System (LCCS) developed by the FAO. Based on a
semi-automatic processing chain, the Congo Basin vegetation types map was
produced by combining 19 months of observations from the Envisat MERIS full
resolution products (300 m) and 8 yr of daily SPOT VEGETATION (VGT)
reflectances (1 km). Four zones (north, south and two central) were
delineated and processed separately according to their seasonal and cloud
cover specificities. The discrimination between different vegetation types
(e.g. forest and savannas) was significantly improved thanks to the MERIS
sharp spatial resolution. A better discrimination was achieved in cloudy
areas by taking advantage of the temporal consistency of the SPOT VGT
observations. This resulted in a precise delineation of the spatial extent
of the rural complex in the countries situated along the Atlantic coast.
Based on this new map, more accurate estimates of the surface areas of
forest types were produced for each country of the Congo Basin. Carbon
stocks of the Basin were evaluated to a total of 49 360 million metric tons.
The regional scale of the map was an opportunity to investigate what could
be an appropriate tree cover threshold for a forest class definition in the
Congo Basin countries. A 30% tree cover threshold was suggested.
Furthermore, the phenology of the different vegetation types was illustrated
systematically with EVI temporal profiles. This Congo Basin forest types map
reached a satisfactory overall accuracy of 71.5% and even 78.9% when
some classes are aggregated. The values of the Cohen's kappa coefficient,
respectively 0.64 and 0.76 indicates a result significantly better than
random. |
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