Vegetation and slope effects on accuracy of a LiDAR-derived DEM in the sagebrush steppe

Spaete, L.; Glenn, Nancy F.; Derryberry, DeWayne R.; Sankey, Temuulen Tsagaan; Mitchell, Jessica J.; Hardegree, Stuart P.

doi:10.1080/01431161.2010.515267

Cited by 63 publications

(50 citation statements)

References 18 publications

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“…Most of previous research also found that the error of LiDAR-derived DTM is highly contributed by terrain slope (Hodgson and Bresnahan, 2004;Hodgson et al, 2003;Spaete et al, 2011). Table 3 According to the result obtained, the accuracy of DTM generated is varied with the terrain slope for both study areas.…”

Section: The Effect Of Terrain Slope On Airborne Lidar-derived Dtmmentioning

confidence: 82%

Accuracy Assessment of Lidar-Derived Digital Terrain Model (Dtm) With Different Slope and Canopy Cover in Tropical Forest Region

Salleh¹,

Ismail

Rahman³

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Airborne Light Detection and Ranging (LiDAR) technology has been widely used recent years especially in generating high accuracy of Digital Terrain Model (DTM). High density and good quality of airborne LiDAR data promises a high quality of DTM. This study focussing on the analysing the error associated with the density of vegetation cover (canopy cover) and terrain slope in a LiDAR derived-DTM value in a tropical forest environment in Bentong, State of Pahang, Malaysia. Airborne LiDAR data were collected can be consider as low density captured by Reigl system mounted on an aircraft. The ground filtering procedure use adaptive triangulation irregular network (ATIN) algorithm technique in producing ground points. Next, the ground control points (GCPs) used in generating the reference DTM and these DTM was used for slope classification and the point clouds belong to non-ground are then used in determining the relative percentage of canopy cover. The results show that terrain slope has high correlation for both study area (0.993 and 0.870) with the RMSE of the LiDAR-derived DTM. This is similar to canopy cover where high value of correlation (0.989 and 0.924) obtained. This indicates that the accuracy of airborne LiDAR-derived DTM is significantly affected by terrain slope and canopy caver of study area.

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Section: The Effect Of Terrain Slope On Airborne Lidar-derived Dtmmentioning

confidence: 82%

Accuracy Assessment of Lidar-Derived Digital Terrain Model (Dtm) With Different Slope and Canopy Cover in Tropical Forest Region

Salleh¹,

Ismail

Rahman³

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The accuracy of the point cloud is usually assessed by comparing ALS elevation against elevation values obtained with kinematic GNSS measurements made over a flat uniform unobstructed surface (airport runway, road, sports field, etc.). Of course this is a measure of only the vertical accuracy and it is done under ideal conditions, the vertical accuracy of ALS return of sloped, irregular surfaces under vegetation cover is generally significantly poorer [70]. Assessing the horizontal accuracy of the point cloud data is more complicated and it requires, for example the use of special ground targets [71], or obtaining reference 3-dimensional data of sloped surfaces and computing normal vectors to those surfaces and doing the same with the ALS data, by comparing the normal vectors it is then possible to compute the horizontal accuracies.…”

Section: Quality and Accuracy Assessmentmentioning

confidence: 99%

Now You See It… Now You Don’t: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica

et al. 2014

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Abstract:In this paper we provide a description of airborne mapping LiDAR, also known as airborne laser scanning (ALS), technology and its workflow from mission planning to final data product generation, with a specific emphasis on archaeological research. ALS observations are highly customizable, and can be tailored to meet specific research needs. Thus it is important for an archaeologist to fully understand the options available during planning, collection and data product generation before commissioning an ALS survey, to ensure the intended research questions can be answered with the resultant data products. Also this knowledge is of great use for the researcher trying to understand the quality and limitations of existing datasets collected for other purposes. Throughout the paper we use examples from archeological ALS projects to illustrate the key concepts of importance for the archaeology researcher.

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“…Mean signed error (MSE) and root mean square error (RMSE) are two commonly accepted statistical measurements used to assess DEM accuracy. Several studies used RMSE values based on high-grade in situ surveyed elevations to determine the accuracy of DEM across varying land cover and topography (Hodgson and Bresnahan, 2004;Bater and Coops, 2009;Spaete et al, 2011). Hodgson and Bresnahan (2004) and embedded MSE in to identify the tendency for under or over estimation of elevations relative to specific treatment classes.…”

Section: Accuracy Assessment Of Lidar Derived Demmentioning

confidence: 99%

Evaluating Error of Lidar Derived Dem Interpolation for Vegetation Area

Ismail

Khanan

Omar

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Light Detection and Ranging or LiDAR data is a data source for deriving digital terrain model while Digital Elevation Model or DEM is usable within Geographical Information System or GIS. The aim of this study is to evaluate the accuracy of LiDAR derived DEM generated based on different interpolation methods and slope classes. Initially, the study area is divided into three slope classes: (a) slope class one (0° -5°), (b) slope class two (6° -10°) and (c) slope class three (11° -15°). Secondly, each slope class is tested using three distinctive interpolation methods:

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Vegetation and slope effects on accuracy of a LiDAR-derived DEM in the sagebrush steppe

Cited by 63 publications

References 18 publications

Accuracy Assessment of Lidar-Derived Digital Terrain Model (Dtm) With Different Slope and Canopy Cover in Tropical Forest Region

Accuracy Assessment of Lidar-Derived Digital Terrain Model (Dtm) With Different Slope and Canopy Cover in Tropical Forest Region

Now You See It… Now You Don’t: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica

Evaluating Error of Lidar Derived Dem Interpolation for Vegetation Area

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