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| Titel |
Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in senegal |
| VerfasserIn |
A. M. Dieye, D. P. Roy, N. P. Hanan, S. Liu, M. Hansen, A. Touré |
| 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. 2 ; Nr. 9, no. 2 (2012-02-03), S.631-648 |
| Datensatznummer |
250006757
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| Publikation (Nr.) |
 copernicus.org/bg-9-631-2012.pdf |
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| Zusammenfassung |
| Spatially explicit land cover land use (LCLU) change
information is needed to drive biogeochemical models that simulate soil
organic carbon (SOC) dynamics. Such information is increasingly being mapped
using remotely sensed satellite data with classification schemes and
uncertainties constrained by the sensing system, classification algorithms
and land cover schemes. In this study, automated LCLU classification of
multi-temporal Landsat satellite data were used to assess the sensitivity of
SOC modeled by the Global Ensemble Biogeochemical Modeling System (GEMS).
The GEMS was run for an area of 1560 km2 in Senegal under three climate
change scenarios with LCLU maps generated using different Landsat
classification approaches. This research provides a method to estimate the
variability of SOC, specifically the SOC uncertainty due to satellite
classification errors, which we show is dependent not only on the LCLU
classification errors but also on where the LCLU classes occur relative to
the other GEMS model inputs. |
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