DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects

Sharma, Maneesh; Paige, Ginger B.; Miller, Scott N.

doi:10.3390/rs2112629

Cited by 34 publications

(25 citation statements)

References 8 publications

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“…The accuracy of the DEM is expected to be around 0.3 m [33]. However, we acknowledge that in complex terrain or short-statured open scattered forests of the north with slow decaying woody-debris, hummocks of sphagnum, and dense shrubs, the accuracy can be lower (0.5-1.5 m) [34][35][36].…”

Section: Als Data Processingmentioning

confidence: 99%

Post-Fire Canopy Height Recovery in Canada’s Boreal Forests Using Airborne Laser Scanner (ALS)

Magnussen

Wulder

2012

Remote Sensing

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Canopy height data collected with an airborne laser scanner (ALS) flown across unmanaged parts of Canada's boreal forest in the summer of 2010 were used-as stand-alone data-to derive a least-squares polynomial (LSPOL) between presumed post-fire recovered canopy heights and duration (in years) since fire (YSF). Flight lines of the >25,000-km ALS survey intersected 163 historic fires with a known day of detection and fire perimeter. A sequential statistical testing procedure was developed to separate post-fire recovered canopy heights from pre-fire canopy heights. Of the 153 fires with >5 YSF, 121 cases (89%) could be resolved to a complete or partial post-fire canopy replacement. The estimated LSPOL can be used to estimate post-fire aboveground biomass and carbon sequestration in areas where alternative information is dated or absent. These LIDAR derived findings are especially useful as existing growth information is largely developed for higher productivity ecosystems and not applicable to these ecosystems subject to large wildfires.

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Section: Als Data Processingmentioning

confidence: 99%

Post-Fire Canopy Height Recovery in Canada’s Boreal Forests Using Airborne Laser Scanner (ALS)

Magnussen

Wulder

2012

Remote Sensing

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“…Besides, TLS data suffers from the presence of obstacles caused by the perspective geometry of single terrestrial scans [7] . Airborne data filtering approaches can be ineffective in processing ground-based scans at small scales; thus there is a clear need for a functional method or approach to remove vegetation and non-surface objects from ground-based LiDAR DEMs acquired with ground-based LiDAR systems [4] .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, LiDAR data contains non-surface objects such as vegetation cover, buildings etc. The removal of non-surface objects to develop "bare earth" DEM from LiDAR data is a difficult and time consuming procedure [4] . Vosselman and Maas [5] present an overview of the filtering methods which have been applied to aerial laser scanner point clouds.…”

Section: Introductionmentioning

confidence: 99%

The effect of riverine terrain spatial resolution on flood modeling and mapping

2013

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Spatial resolution of river and riverine area is an important aspect of hydraulic flood modeling that affects the accuracy of flood extent. This study compares the accuracy of Digital Elevation Models (DEMs) produced from three methods of land surveying measurements and their effect on the results of river flow modeling and mapping of floodplain. Four data sets have been used for the creation of the DEMs: Light Detection and Ranging (LiDAR) point cloud data (raw data and processed), classic land surveying and digitization of elevation contours from 1:5000 scale topographic maps. LiDAR offers advantages over traditional methods for representing a terrain. Optech ILRIS-3D (Intelligent Laser Ranging and Imaging System) is a land based LiDAR system and has been used in this study. Separating LiDAR points into ground and non-ground is the most critical and difficult step for DEM generation from LiDAR data. In this study, geomorphologic filters, GIS operations and expert knowledge have been applied to produce the bare earth DEM. The HEC-GeoRAS and HEC-RAS software have been used as pre-and post-processing tools to prepare model inputs, simulate of river flow, and delineate flood inundation maps. The methodology has been applied in the suburban part of Xerias river at Volos-Greece, where typical hydrologic and hydraulic methods for ungauged watersheds have been used for flood modeling and inundation mapping. The results show that flood inundation area is significantly affected by the accuracy of DEM spatial resolution and could have significant impact on the delineation and mapping of flood hazard areas.LiDAR, Terrain spatial resolution, HEC-RAS, Flood Modeling and Mapping, AGL, Point cloud, DEM.

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“…In topographic mapping, many applications to derive geospatial information from 3D point clouds have been developed, such as noise reduction [3], classification of ground points [4–6], segmentation of meaningful patches [7–10], Digital Elevation Model (DEM) generation [4,6,11], building reconstruction [12–16], power-line detection [17,18], coastline extraction [19], forest biomass estimation [20–22], and target detection [23–25]. …”

Section: Introductionmentioning

confidence: 99%

Simulation of a Geiger-Mode Imaging LADAR System for Performance Assessment

Kim

Lee

Kwon

2013

Sensors

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As LADAR systems applications gradually become more diverse, new types of systems are being developed. When developing new systems, simulation studies are an essential prerequisite. A simulator enables performance predictions and optimal system parameters at the design level, as well as providing sample data for developing and validating application algorithms. The purpose of the study is to propose a method for simulating a Geiger-mode imaging LADAR system. We develop simulation software to assess system performance and generate sample data for the applications. The simulation is based on three aspects of modeling—the geometry, radiometry and detection. The geometric model computes the ranges to the reflection points of the laser pulses. The radiometric model generates the return signals, including the noises. The detection model determines the flight times of the laser pulses based on the nature of the Geiger-mode detector. We generated sample data using the simulator with the system parameters and analyzed the detection performance by comparing the simulated points to the reference points. The proportion of the outliers in the simulated points reached 25.53%, indicating the need for efficient outlier elimination algorithms. In addition, the false alarm rate and dropout rate of the designed system were computed as 1.76% and 1.06%, respectively.

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DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects

Cited by 34 publications

References 8 publications

Post-Fire Canopy Height Recovery in Canada’s Boreal Forests Using Airborne Laser Scanner (ALS)

Post-Fire Canopy Height Recovery in Canada’s Boreal Forests Using Airborne Laser Scanner (ALS)

The effect of riverine terrain spatial resolution on flood modeling and mapping

Simulation of a Geiger-Mode Imaging LADAR System for Performance Assessment

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