FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2802092433> ?p ?o ?g. }

• W2802092433 endingPage "104" @default.
• W2802092433 startingPage "89" @default.
• W2802092433 abstract "Abstract The decrease in vegetation cover is one of the main triggering factors for soil erosion of grasslands. Within the Revised Universal Soil Loss Equation (RUSLE), a model commonly used to describe soil erosion, the vegetation cover for grassland is expressed in the cover and management factor (C-factor). The site-specific C-factor is a combination of the relative erosion susceptibility of a particular plant development stage (here expressed as soil loss ratio SLR) and the corresponding rainfall pattern (here expressed as R-factor ratio). Thus, for grasslands the fraction of green vegetation cover (FGVC) determines the SLRs. Although Switzerland is a country dominated by grassland with high percentages of mountainous regions and evidence for high erosion rates of grassland exists, soil erosion risk modeling of grasslands and especially of mountainous grasslands in Switzerland is restricted to a few studies. Here, we present a spatio-temporal approach to assess the dynamics of the C-factor for Swiss grasslands and to identify erosion prone regions and seasons simultaneously. We combine different satellite data, aerial data, and derivative products like Climate Change Initiative (CCI) Land Cover, Swissimage false-color infrared (Swissimage FCIR), PROBA-V Fraction of green Vegetation Cover (FCover300m), and MODIS Vegetation Indices 16-Day L3 Global (MOD13Q1) for the FGVC mapping of grasslands. In the spatial mapping, the FGVC is extracted from Swissimage FCIR (spat. res. 2 m) by linear spectral unmixing (LSU). The spatially derived results are then fused with the 10-day deviations of temporal FGVC derived by FCover300m. Following the original RUSLE approach, the combined FGVC are transformed to SLRs and weighted with high spatio-temporal resolved ratios of R-factors to result in spatio-temporal C-factors for Swiss grasslands. The annual average C-factor of all Swiss grasslands is 0.012. Seasonal and regional patterns (low C in winter, high C in summer, dependency on elevation) are recognizable in the spatio-temporal mapping approach. They are mainly explicable by the R-factor distribution within a year. Knowledge about the spatio-temporal dynamic of erosion triggering factors is of high interest for agronomists who can introduce areal and time specific selective erosion control measures and thereby reduce the direct costs of mitigation as well as erosion measures." @default.
• W2802092433 created "2018-05-17" @default.
• W2802092433 creator A5011035686 @default.
• W2802092433 creator A5019454666 @default.
• W2802092433 creator A5024633126 @default.
• W2802092433 date "2018-06-01" @default.
• W2802092433 modified "2023-10-18" @default.
• W2802092433 title "Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland" @default.
• W2802092433 cites W1201922428 @default.
• W2802092433 cites W1482377996 @default.
• W2802092433 cites W1483105054 @default.
• W2802092433 cites W1531683302 @default.
• W2802092433 cites W1901230241 @default.
• W2802092433 cites W1964981634 @default.
• W2802092433 cites W1966266662 @default.
• W2802092433 cites W1969634438 @default.
• W2802092433 cites W1971263100 @default.
• W2802092433 cites W1972369217 @default.
• W2802092433 cites W1976209957 @default.
• W2802092433 cites W1977752369 @default.
• W2802092433 cites W1980007669 @default.
• W2802092433 cites W1986471882 @default.
• W2802092433 cites W1988567653 @default.
• W2802092433 cites W1988578066 @default.
• W2802092433 cites W1993528307 @default.
• W2802092433 cites W1999383584 @default.
• W2802092433 cites W1999907205 @default.
• W2802092433 cites W2002478583 @default.
• W2802092433 cites W2003234527 @default.
• W2802092433 cites W2003972315 @default.
• W2802092433 cites W2006655006 @default.
• W2802092433 cites W2006842244 @default.
• W2802092433 cites W2007502829 @default.
• W2802092433 cites W2010112013 @default.
• W2802092433 cites W2010591091 @default.
• W2802092433 cites W2013180884 @default.
• W2802092433 cites W2018463170 @default.
• W2802092433 cites W2018903687 @default.
• W2802092433 cites W2019604241 @default.
• W2802092433 cites W2019882471 @default.
• W2802092433 cites W2022669139 @default.
• W2802092433 cites W2023293269 @default.
• W2802092433 cites W2024392294 @default.
• W2802092433 cites W2027641122 @default.
• W2802092433 cites W2028995354 @default.
• W2802092433 cites W2034956097 @default.
• W2802092433 cites W2035956134 @default.
• W2802092433 cites W2036020337 @default.
• W2802092433 cites W2037117298 @default.
• W2802092433 cites W2038353908 @default.
• W2802092433 cites W2043384302 @default.
• W2802092433 cites W2050225888 @default.
• W2802092433 cites W2053713481 @default.
• W2802092433 cites W2059513979 @default.
• W2802092433 cites W2065051496 @default.
• W2802092433 cites W2068431757 @default.
• W2802092433 cites W2068681816 @default.
• W2802092433 cites W2071094664 @default.
• W2802092433 cites W2071838390 @default.
• W2802092433 cites W2081169445 @default.
• W2802092433 cites W2083087429 @default.
• W2802092433 cites W2083665758 @default.
• W2802092433 cites W2104849922 @default.
• W2802092433 cites W2107794708 @default.
• W2802092433 cites W2107977037 @default.
• W2802092433 cites W2109186602 @default.
• W2802092433 cites W2110456190 @default.
• W2802092433 cites W2113199636 @default.
• W2802092433 cites W2113313876 @default.
• W2802092433 cites W2122786094 @default.
• W2802092433 cites W2123601199 @default.
• W2802092433 cites W2123733938 @default.
• W2802092433 cites W2125443063 @default.
• W2802092433 cites W2127062304 @default.
• W2802092433 cites W2127529521 @default.
• W2802092433 cites W2127959170 @default.
• W2802092433 cites W2131254463 @default.
• W2802092433 cites W2133460506 @default.
• W2802092433 cites W2136625467 @default.
• W2802092433 cites W2136635809 @default.
• W2802092433 cites W2138065907 @default.
• W2802092433 cites W2140567999 @default.
• W2802092433 cites W2146061217 @default.
• W2802092433 cites W2147467262 @default.
• W2802092433 cites W2148027309 @default.
• W2802092433 cites W2156220628 @default.
• W2802092433 cites W2157321686 @default.
• W2802092433 cites W2160157934 @default.
• W2802092433 cites W2162579217 @default.
• W2802092433 cites W2163807205 @default.
• W2802092433 cites W2166917517 @default.
• W2802092433 cites W2166922611 @default.
• W2802092433 cites W2304047926 @default.
• W2802092433 cites W2337075245 @default.
• W2802092433 cites W2338580160 @default.
• W2802092433 cites W2384069106 @default.
• W2802092433 cites W2461599342 @default.
• W2802092433 cites W2463709613 @default.

• next