Matches in SemOpenAlex for { <https://semopenalex.org/work/W1990287724> ?p ?o ?g. }
- W1990287724 endingPage "139" @default.
- W1990287724 startingPage "128" @default.
- W1990287724 abstract "The error in slope gradient estimates provided by digital elevation models propagates to spatial modelling of erosion and other environmental attributes, potentially impacting land management priorities. This study compared the slope estimates of Shuttle Radar Topographic Mission (SRTM) DEMs with those generated by interpolation of topographic contours, at two grid cell resolutions. The magnitude and spatial patterns of error in DEM slope, and derived erosion estimates using the Revised Universal Soil Loss Equation (RUSLE), were evaluated at three sites in eastern Australia. The sites have low-relief terrain and slope gradients less than 15%, characteristics which dominate the global land surface by area and are often highly utilised. Relative to a reference DEM resampled to the same resolution (a measure of DEM 'quality'), the 90?m (3-s) SRTM DEM provided the best estimates of slopes, being within 20% for each 5% slope class outside alluvial floodplains where it over-predicted by up to 220%. Relative to a hillslope scale 10?m reference DEM, the 30?m (1-s) SRTM-derived DEM-S, provided slope gradient estimates slightly less biased towards under-prediction than the 90?m SRTM and significantly less biased on alluvial floodplains. In contrast, the 20?m vertical contour intervals underpinning the interpolated DEMs resulted in under-prediction of slope gradient by more than a factor of 5 over large contiguous areas (>1?km2). The 30?m DEM-S product provided the best estimate of hillslope erosion, being 3-4% better than the 90?m SRTM. The slope errors in the interpolated DEMs translated into generally poorer and less consistent erosion estimates than SRTM. From this study it is concluded that the SRTM DEM products, in particular the 30?m SRTM-derived DEM-S, provide estimates of slope gradient and erosion which are more accurate, and more consistent within and between low relief study sites, than interpolated DEMs. Highlights? Patterns of slope gradient error in elevation models of low relief terrain are explored. ? Two types of digital elevation model at two grid resolutions are contrasted. ? Errors in hillslope erosion arising as a consequence of slope gradient errors are reported. ? Shuttle Radar has lower slope gradient and erosion errors than contour interpolated models." @default.
- W1990287724 created "2016-06-24" @default.
- W1990287724 creator A5044253731 @default.
- W1990287724 creator A5073586359 @default.
- W1990287724 date "2013-02-01" @default.
- W1990287724 modified "2023-09-24" @default.
- W1990287724 title "Evaluating Shuttle radar and interpolated DEMs for slope gradient and soil erosion estimation in low relief terrain" @default.
- W1990287724 cites W1498864721 @default.
- W1990287724 cites W1966519950 @default.
- W1990287724 cites W1969786050 @default.
- W1990287724 cites W1971272694 @default.
- W1990287724 cites W1977069501 @default.
- W1990287724 cites W1979228001 @default.
- W1990287724 cites W1980559965 @default.
- W1990287724 cites W1988696756 @default.
- W1990287724 cites W1990590197 @default.
- W1990287724 cites W1991428021 @default.
- W1990287724 cites W2005202386 @default.
- W1990287724 cites W2011850288 @default.
- W1990287724 cites W2013316404 @default.
- W1990287724 cites W2013954727 @default.
- W1990287724 cites W2020050503 @default.
- W1990287724 cites W2025227102 @default.
- W1990287724 cites W2026105918 @default.
- W1990287724 cites W2027252311 @default.
- W1990287724 cites W2032075694 @default.
- W1990287724 cites W2039630720 @default.
- W1990287724 cites W2047195451 @default.
- W1990287724 cites W2050900592 @default.
- W1990287724 cites W2053020576 @default.
- W1990287724 cites W2058916593 @default.
- W1990287724 cites W2061225400 @default.
- W1990287724 cites W2066107058 @default.
- W1990287724 cites W2067724477 @default.
- W1990287724 cites W2084744129 @default.
- W1990287724 cites W2089467870 @default.
- W1990287724 cites W2097904732 @default.
- W1990287724 cites W2110720153 @default.
- W1990287724 cites W2120612314 @default.
- W1990287724 cites W2124496867 @default.
- W1990287724 cites W2135309059 @default.
- W1990287724 cites W2136921327 @default.
- W1990287724 cites W2142198950 @default.
- W1990287724 cites W2151119515 @default.
- W1990287724 cites W2161202730 @default.
- W1990287724 cites W2170844461 @default.
- W1990287724 cites W2171466305 @default.
- W1990287724 cites W4246716475 @default.
- W1990287724 doi "https://doi.org/10.1016/j.envsoft.2012.08.010" @default.
- W1990287724 hasPublicationYear "2013" @default.
- W1990287724 type Work @default.
- W1990287724 sameAs 1990287724 @default.
- W1990287724 citedByCount "19" @default.
- W1990287724 countsByYear W19902877242014 @default.
- W1990287724 countsByYear W19902877242016 @default.
- W1990287724 countsByYear W19902877242017 @default.
- W1990287724 countsByYear W19902877242018 @default.
- W1990287724 countsByYear W19902877242019 @default.
- W1990287724 countsByYear W19902877242020 @default.
- W1990287724 countsByYear W19902877242021 @default.
- W1990287724 countsByYear W19902877242022 @default.
- W1990287724 countsByYear W19902877242023 @default.
- W1990287724 crossrefType "journal-article" @default.
- W1990287724 hasAuthorship W1990287724A5044253731 @default.
- W1990287724 hasAuthorship W1990287724A5073586359 @default.
- W1990287724 hasConcept C114793014 @default.
- W1990287724 hasConcept C123157820 @default.
- W1990287724 hasConcept C127313418 @default.
- W1990287724 hasConcept C161840515 @default.
- W1990287724 hasConcept C187320778 @default.
- W1990287724 hasConcept C205649164 @default.
- W1990287724 hasConcept C39432304 @default.
- W1990287724 hasConcept C41008148 @default.
- W1990287724 hasConcept C554190296 @default.
- W1990287724 hasConcept C58640448 @default.
- W1990287724 hasConcept C62649853 @default.
- W1990287724 hasConcept C71813955 @default.
- W1990287724 hasConcept C76155785 @default.
- W1990287724 hasConcept C76886044 @default.
- W1990287724 hasConceptScore W1990287724C114793014 @default.
- W1990287724 hasConceptScore W1990287724C123157820 @default.
- W1990287724 hasConceptScore W1990287724C127313418 @default.
- W1990287724 hasConceptScore W1990287724C161840515 @default.
- W1990287724 hasConceptScore W1990287724C187320778 @default.
- W1990287724 hasConceptScore W1990287724C205649164 @default.
- W1990287724 hasConceptScore W1990287724C39432304 @default.
- W1990287724 hasConceptScore W1990287724C41008148 @default.
- W1990287724 hasConceptScore W1990287724C554190296 @default.
- W1990287724 hasConceptScore W1990287724C58640448 @default.
- W1990287724 hasConceptScore W1990287724C62649853 @default.
- W1990287724 hasConceptScore W1990287724C71813955 @default.
- W1990287724 hasConceptScore W1990287724C76155785 @default.
- W1990287724 hasConceptScore W1990287724C76886044 @default.
- W1990287724 hasLocation W19902877241 @default.
- W1990287724 hasOpenAccess W1990287724 @default.
- W1990287724 hasPrimaryLocation W19902877241 @default.
- W1990287724 hasRelatedWork W1585281834 @default.
- W1990287724 hasRelatedWork W1862093396 @default.