TY - JOUR
T1 - Vegetation and slope effects on accuracy of a LiDAR-derivedDEMin the sagebrush steppe
AU - Spaete, Lucas P.
AU - Glenn, Nancy F.
AU - Derryberry, Dewayne R.
AU - Sankey, Temuulen T.
AU - Mitchell, Jessica J.
AU - Hardegree, Stuart P.
N1 - Funding Information:
This study was funded by the NOAA Earth System Research Laboratory Physical Sciences Division Grant number NA06OAR4600124, the NSF Idaho EPSCoR Program, the National Science Foundation under award number EPS-0814387 and the BLM Owyhee Uplands Pilot Project (ISU-BLM Agreement number DLA060249) with support from the Idaho State University GIS Training and Research Center and University of Idaho. The authors thank the ARS RCEW staff for field support and the Idaho State University Geomatics program for use of their RTK GPS.
PY - 2011/12
Y1 - 2011/12
N2 - This study analysed the errors associated with vegetation cover type and slope in a Light Detection and Ranging (LiDAR) derived digital elevation model (DEM) in a semiarid environment in southwest Idaho, USA. Reference data were collected over a range of vegetation cover types and slopes. Reference data were compared to bare-ground raster values and root mean square error (RMSE) and mean signed error (MSE) were used to quantify errors. Results indicate that vegetation cover type and slope have statistically significant effects on the accuracy of a LiDARderived bare-earth DEM. RMSE and MSE ranged from 0.072 to 0.220mand from -0.154 to 0.017 m, respectively, with the largest errors associated with herbaceous cover and steep slopes. The lowest errors were associated with low sagebrush and low-slope environments. Although the RMSEs in this study were lower than those reported by others, further refinement of the accuracy of LiDAR systems may be needed for fine-scale vegetation and terrain applications in rangeland environments.
AB - This study analysed the errors associated with vegetation cover type and slope in a Light Detection and Ranging (LiDAR) derived digital elevation model (DEM) in a semiarid environment in southwest Idaho, USA. Reference data were collected over a range of vegetation cover types and slopes. Reference data were compared to bare-ground raster values and root mean square error (RMSE) and mean signed error (MSE) were used to quantify errors. Results indicate that vegetation cover type and slope have statistically significant effects on the accuracy of a LiDARderived bare-earth DEM. RMSE and MSE ranged from 0.072 to 0.220mand from -0.154 to 0.017 m, respectively, with the largest errors associated with herbaceous cover and steep slopes. The lowest errors were associated with low sagebrush and low-slope environments. Although the RMSEs in this study were lower than those reported by others, further refinement of the accuracy of LiDAR systems may be needed for fine-scale vegetation and terrain applications in rangeland environments.
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U2 - 10.1080/01431161.2010.515267
DO - 10.1080/01431161.2010.515267
M3 - Article
AN - SCOPUS:78951487337
SN - 2150-704X
VL - 2
SP - 317
EP - 326
JO - Remote Sensing Letters
JF - Remote Sensing Letters
IS - 4
ER -