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- W2384801064 abstract "A digital elevation model(DEM) is a representation of terrain elevation as a function of geographic location.DEM inevitably contains errors,which are spatial variable and correlated.The usual error model is Root Mean Square Error(RMSE),whereas it is a global variable,and can not show the DEM error of each grid.In order to overcome the deficiency of RMSE,Dongzhi Tableland was employed as a test region,and an error surface about 6.25km2 was constructed based on the conditional stochastic simulation model(CSS).Water and soil loss level determination was taken as an example to validate the importance of CSS.The results indicated that the uncertainties in derived slope of the Dongzhi Tableland tend to be found in flatter areas;the slope error range is bigger than DEM error range,which indicates that the DEM error is magnified;probabilistic and fuzzy model shows that almost all grids are influenced by the DEM error in water and soil loss level determination.As a tool for DEM error analysis,conditional stochastic model can improve the user assessment of DEM error." @default.
- W2384801064 created "2016-06-24" @default.
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- W2384801064 date "2009-01-01" @default.
- W2384801064 modified "2023-09-23" @default.
- W2384801064 title "DEM Error Analysis Based on Conditional Stochastic Simulation" @default.
- W2384801064 hasPublicationYear "2009" @default.
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