Next Article in Journal
Digital Northern Great Plains: A Web-Based System Delivering Near Real Time Remote Sensing Data for Precision Agriculture
Next Article in Special Issue
Alternative Methodologies for LiDAR System Calibration
Previous Article in Journal
Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera
Previous Article in Special Issue
Using Lidar-Derived Vegetation Profiles to Predict Time since Fire in an Oak Scrub Landscape in East-Central Florida
Article Menu

Export Article

Open AccessReview
Remote Sens. 2010, 2(3), 833-860;

Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues

Department of Geography, Texas State University-San Marcos, 601 University Drive, San Marcos, TX 78666, USA
Department of Geography, Texas A&M University, 810 O&M Building, College Station, TX 77843-3147, USA
Spatial Sciences Lab., Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843-3147, USA
Author to whom correspondence should be addressed.
Received: 4 January 2010 / Revised: 20 February 2010 / Accepted: 27 February 2010 / Published: 22 March 2010
(This article belongs to the Special Issue LiDAR)
Full-Text   |   PDF [768 KB, uploaded 19 June 2014]   |  


This paper reviews LiDAR ground filtering algorithms used in the process of creating Digital Elevation Models. We discuss critical issues for the development and application of LiDAR ground filtering algorithms, including filtering procedures for different feature types, and criteria for study site selection, accuracy assessment, and algorithm classification. This review highlights three feature types for which current ground filtering algorithms are suboptimal, and which can be improved upon in future studies: surfaces with rough terrain or discontinuous slope, dense forest areas that laser beams cannot penetrate, and regions with low vegetation that is often ignored by ground filters. View Full-Text
Keywords: LiDAR; ground filtering; terrain; DEM; forest; urban; review LiDAR; ground filtering; terrain; DEM; forest; urban; review

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Meng, X.; Currit, N.; Zhao, K. Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues. Remote Sens. 2010, 2, 833-860.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top