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Soil erosion modelled with USLE and PESERA using QuickBird derived vegetation parameters in an alpine catchment
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 258537
Author(s) Meusburger, K.; Konz, N.; Schaub, M.; Alewell, C.
Author(s) at UniBasel Alewell, Christine
Di Bella, Katrin
Year 2010
Title Soil erosion modelled with USLE and PESERA using QuickBird derived vegetation parameters in an alpine catchment
Journal International Journal of Applied Earth Observation and Geoinformation
Volume 12
Number 3
Pages / Article-Number 208-215
Keywords Soil erosion, Mountain, Remote sensing, Cs-137, USLE, PESERA, Erosion model
Abstract The focus of soil erosion research in the Alps has been in two categories: (i) on-site measurements, which are rather small scale point measurements on selected plots often constrained to irrigation experiments or (ii) off-site quantification of sediment delivery at the outlet of the catchment. Results of both categories pointed towards the importance of an intact vegetation cover to prevent soil loss. With the recent availability of high-resolution satellites such as IKONOS and QuickBird options for detecting and monitoring vegetation parameters in heterogeneous terrain have increased. The aim of this study is to evaluate the usefulness of QuickBird derived vegetation parameters in soil erosion models for alpine sites by comparison to Cesium-137 (Cs-137) derived soil erosion estimates. The study site (67 km(2)) is located in the Central Swiss Alps (Urseren Valley) and is characterised by scarce forest cover and strong anthropogenic influences due to grassland farming for centuries. A fractional vegetation cover (FVC) map for grassland and detailed land-cover maps are available from linear spectral unmixing and supervised classification of QuickBird imagery. The maps were introduced to the Pan-European Soil Erosion Risk Assessment (PESERA) model as well as to the Universal Soil Loss Equation (USLE). Regarding the latter model, the FVC was indirectly incorporated by adapting the C factor. Both models show an increase in absolute soil erosion values when FVC is considered. In contrast to USLE and the Cs-137 soil erosion rates, PESERA estimates are low. For the USLE model also the spatial patterns improved and showed "hotspots" of high erosion of up to 16 t ha(-1) a(-1). In conclusion field measurements of Cs-137 confirmed the improvement of soil erosion estimates using the satellite-derived vegetation data. (C) 2010 Elsevier B.V. All rights reserved.
Publisher Elsevier
ISSN/ISBN 0303-2434
edoc-URL http://edoc.unibas.ch/dok/A5265712
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.jag.2010.02.004
ISI-Number WOS:000278114800010
Document type (ISI) Article
 
   

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