000			01724nam a22002417a 4500
003			ZW-GwMSU
005			20221128150120.0
008			221128b |||||||| |||| 00| 0 eng d
040			_aMSU _cMSU _erda
100	1		_aO'Neil , Glenn _eauthor
245			_aQuantifying local flow direction uncertainty _ccreated by Glenn O'Neil &Ashton Shortridge
264			_aMichigan: _bTaylor and Francis, _c2013.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_vVolume , number ,
520			_bAbsolute elevation error in digital elevation models (DEMs) can be within acceptable National Map Accuracy standards, but still have dramatic impacts on field-level estimates of surface water flow direction, particularly in level regions. We introduce and evaluate a new method for quantifying uncertainty in flow direction rasters derived from DEMs. The method utilizes flow direction values derived from finer resolution digital elevation data to estimate uncertainty, on a cell-by-cell basis, in flow directions derived from coarser digital elevation data. The result is a quantification and spatial distribution of flow direction uncertainty at both local and regional scales. We present an implementation of the method using a 10-m DEM and a reference 1-m lidar DEM. The method contributes to scientific understanding of DEM uncertainty propagation and modeling and can inform hydrological analyses in engineering, agriculture, and other disciplines that rely on simulations of surface water flow.
650			_a DEM
650			_aflow direction
650			_ahydrology
856			_uhttps://doi.org/10.1080/13658816.2012.719627
942			_2lcc _cJA
999			_c160642 _d160642