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Titel |
Use of satellite and modeled soil moisture data for predicting event soil loss at plot scale |
VerfasserIn |
F. Todisco, L. Brocca, L. F. Termite, W. Wagner |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 9 ; Nr. 19, no. 9 (2015-09-11), S.3845-3856 |
Datensatznummer |
250120806
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Publikation (Nr.) |
copernicus.org/hess-19-3845-2015.pdf |
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Zusammenfassung |
The potential of coupling soil moisture and a Universal Soil Loss
Equation-based (USLE-based) model for event soil loss estimation at plot
scale is carefully investigated at the Masse area, in central Italy. The
derived model, named Soil Moisture for Erosion (SM4E), is applied by
considering the unavailability of in situ soil moisture measurements, by
using the data predicted by a soil water balance model (SWBM) and derived
from satellite sensors, i.e., the Advanced SCATterometer (ASCAT). The soil
loss estimation accuracy is validated using in situ measurements in which
event observations at plot scale are available for the period 2008–2013. The
results showed that including soil moisture observations in the event
rainfall–runoff erosivity factor of the USLE enhances the capability of the
model to account for variations in event soil losses, the soil moisture being
an effective alternative to the estimated runoff, in the prediction of the
event soil loss at Masse. The agreement between observed and estimated soil
losses (through SM4E) is fairly satisfactory with a determination coefficient
(log-scale) equal to ~ 0.35 and a root mean square error (RMSE) of
~ 2.8 Mg ha−1. These results are particularly significant for
the operational estimation of soil losses. Indeed, currently, soil moisture
is a relatively simple measurement at the field scale and remote sensing data
are also widely available on a global scale. Through satellite data, there is
the potential of applying the SM4E model for large-scale monitoring and
quantification of the soil erosion process. |
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