Digital elevation data for estimation of potential wetness in ridged fields—Comparison of two different methods

Pilesjö, Petter; Persson, Andreas; Harrie, Lars

doi:10.1016/j.agwat.2005.02.017

Cited by 19 publications

(14 citation statements)

References 19 publications

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“…The LiDAR precision was approximately ± 5 cm. The resolution chosen for the estimations of hydrological divides and catchment surface areas was 10 m. Sink removal and flow accumulation calculations were performed using a form‐based model (Pilesjö et al ., ) prior to locating watercourses and catchment delineations. Watercourses and catchment delineations were estimated with hydro tools in the ESRI ArcGIS 9.3 package (ArcINFO version) and were confirmed through ground observations.…”

Section: Methodsmentioning

confidence: 99%

Total waterborne carbon export and DOC composition from ten nested subarctic peatland catchments—importance of peatland cover, groundwater influence, and inter‐annual variability of precipitation patterns

Olefeldt

Roulet

Giesler

et al. 2012

Hydrological Processes

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Waterborne carbon (C) export from terrestrial ecosystems is a potentially important flux for the net catchment C balance and links the biogeochemical C cycling of terrestrial ecosystems to their downstream aquatic ecosystems. We have monitored hydrology and stream chemistry over 3 years in ten nested catchments (0.6-15.1 km 2 ) with variable peatland cover (0%-22%) and groundwater influence in subarctic Sweden. Total waterborne C export, including dissolved and particulate organic carbon (DOC and POC) and dissolved inorganic carbon (DIC), ranged between 2.8 and 7.3 g m -2 year -1 , representing~10%-30% of catchment net ecosystem exchange of CO 2 . Several characteristics of catchment waterborne C export were affected by interacting effects of peatland cover and groundwater influence, including magnitude and timing, partitioning into DOC, POC, and DIC and chemical composition of the exported DOC. Waterborne C export was greater during the wetter years, equivalent to an average change in export of~2 g m -2 year -1 per 100 mm of precipitation. Wetter years led to a greater relative increase in DIC export than DOC export due to an inferred relative shift in dominance from shallow organic flow pathways to groundwater sources. Indices of DOC composition (SUVA 254 and a 250 /a 365 ) indicated that DOC aromaticity and average molecular weight increased with catchment peatland cover and decreased with increased groundwater influence. Our results provide examples on how waterborne C export and DOC composition might be affected by climate change. Figure 4. Correlation coefficients for linear correlations (Pearson's r) between daily runoff and DOC concentration, a 254 , SUVA 254 , and a 250 /a 365 for ten nested catchments. Significance of correlation: *p < 0.01, +p < 0.05. Correlation analysis is using data from 2007 and 2008 jointly, n = 77-217. Catchment peatland coverage indicated in % below catchment notation 2289 WATERBORNE CARBON EXPORT FROM SUBARCTIC CATCHMENTS

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Section: Methodsmentioning

confidence: 99%

Total waterborne carbon export and DOC composition from ten nested subarctic peatland catchments—importance of peatland cover, groundwater influence, and inter‐annual variability of precipitation patterns

Olefeldt

Roulet

Giesler

et al. 2012

Hydrological Processes

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“…In order to study the accuracy of the DEM in relation to the slope of the terrain the evaluation points were divided into six subsets, corresponding to six slope intervals. Slopes were calculated according to (Pilesjo et al, 2006). Slopes with gradients from 0 to 50 degrees were divided into five equal intervals, while the sixth interval consisted of slopes steeper than 50 degrees.…”

Section: Accuracy Of the Dem For Terrain With Different Slopesmentioning

confidence: 99%

“…Three different DEM resolutions were used to investigate the relationship between the estimates of the slope and drainage area, (Pilesjo et al, 2006) on the one hand, and the DEM resolution on the other. Resolutions of 10, 30 and 90 m were used, due to the overlapping evaluation centre cell points for these resolutions (i.e.…”

Section: Relationship Between the Slope And Drainage Area For Differementioning

confidence: 99%

The use of LIDAR as a data source for digital elevation models – a study of the relationship between the accuracy of digital elevation models and topographical attributes in northern peatlands

Hasan

Pilesjö

Persson

2011

Preprint

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It is important to study the factors affecting estimates of wetness since wetness is crucial in climate change studies. The availability of digital elevation models (DEMs) generated with high resolution data is increasing, and their use is expanding. LIDAR earth elevation data have been used to create several DEMs with different resolutions, using various interpolation parameters, in order to compare the models with collected surface data. The aim is to study the accuracy of DEMs in relation to topographical attributes such as slope and drainage area, which are normally used to estimate the wetness in terms of topographic wetness indices. Evaluation points were chosen from the high-resolution LIDAR dataset at a maximum distance of 10 mm from the cell center for each DEM resolution studied, 0.5, 1, 5, 10, 30 and 90 m. The interpolation method used was inverse distance weighting method with four search radii: 1, 2, 5 and 10 m. The DEM was evaluated using a quantile-quantile test and the normalized median absolute deviation. The accuracy of the estimated elevation for different slopes was tested using the DEM with 0.5 m resolution. Drainage areas were investigated at three resolutions, with coinciding evaluation points. The ability of the model to generate the drainage area at each resolution was obtained by pairwise comparison of three data subsets. <br><br> The results show that the accuracy of the elevations obtained with the DEM model are the same for different resolutions, but vary with search radius. The accuracy of the values (NMAD of errors) varies from 29.7 mm to 88.9 mm, being higher for flatter areas. It was also found that the accuracy of the drainage area is highly dependent on DEM resolution. Coarse resolution yielded larger estimates of the drainage area but lower slope values. This may lead to overestimation of wetness values when using a coarse resolution DEM

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“…soil moisture and saturated area) (Grabs et al, 2009) as well as plant distribution (Zinko, 2004;Zinko et al, 2005). Algorithms have also been developed to better simulate water movement (Quinn et al, 1995;Pilesjö et al, 1998Pilesjö et al, , 2006Pilesjö and Hasan, 2013), yielding more reliable indices. However, topographical indices can only represent topographical effects on soil moisture as well as plant distribution.…”

Section: Introductionmentioning

confidence: 99%

Incorporating topographic indices into dynamic ecosystem modelling using LPJ‐GUESS

et al. 2013

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Northern high-latitude regions could feed back strongly on global warming because of large carbon pools and the fact that those regions are predicted to experience temperature increases greater than the global average. Furthermore, ecological functioning and carbon cycling are both strongly related to the prevailing hydrological conditions. In this study, we address these issues and present a newly developed model LPJ distributed hydrology (LPJ-DH) with distributed hydrology based on the dynamic global ecosystem and biogeochemistry model LPJ-GUESS. The new model is an enhanced version of LPJ-GUESS, introducing parametrizations of surface water routing and lateral water fluxes between grid cells. The newly introduced topographic variables in LPJ-DH are extracted from digital elevation models. LPJ-DH is tested at a 50-m resolution in the Stordalen catchment, northern Sweden. Modelled runoff is evaluated against the measured runoff from 2007 to 2009 at six outlet points. We demonstrate that the estimated monthly runoff from LPJ-DH agrees more closely with the measured data (adjusted R2=0Â·8713) than did the standard LPJ-GUESS model (adjusted R2=0Â·4277). However, there are still difficulties in predicting low-flow periods. The new model shows a possible advantage in representing the drainage network as well as topographic effects on water redistribution. The modelled birch tree line is in the range of the imagery observation, and the model captures the observed values of vegetation biomass in the region. Significant changes in biomass and carbon fluxes are also observed in the new model. Generally, the study justifies the feasibility and advantages of incorporating distributed topographic indices into the dynamic ecosystem model LPJ-GUESS. Â© 2013 John Wiley & Sons, Ltd

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Digital elevation data for estimation of potential wetness in ridged fields—Comparison of two different methods

Cited by 19 publications

References 19 publications

Total waterborne carbon export and DOC composition from ten nested subarctic peatland catchments—importance of peatland cover, groundwater influence, and inter‐annual variability of precipitation patterns

Total waterborne carbon export and DOC composition from ten nested subarctic peatland catchments—importance of peatland cover, groundwater influence, and inter‐annual variability of precipitation patterns

The use of LIDAR as a data source for digital elevation models – a study of the relationship between the accuracy of digital elevation models and topographical attributes in northern peatlands

Incorporating topographic indices into dynamic ecosystem modelling using LPJ‐GUESS

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