NDLI: The analysis on the accuracy of DEM retrieval by the ground lidar point cloud data extraction methods in mountain forest areas

Content Provider	IEEE Xplore Digital Library
Author	Haibing Xiang Chunxiang Cao Huicong Jia Min Xu Myneni, R.B.
Copyright Year	2012
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P.O. Box 9718, Beijing 100101, China (Haibing Xiang; Chunxiang Cao; Huicong Jia; Min Xu) \|\| Department of Geography, Boston University, MA, 02215, USA (Myneni, R.B.)
Abstract	LiDAR data contains the elevation and brightness information of land surface, vegetation cover and construction. Ground filtering and interpolation method are the key for extracting the DEM accuracy based on the point clouds. This paper takes Zhangye City, Gansu Province in western mountainous areas as the study area, based on the point clouds of 0.7 $points/m^{2},$ uses 5 m * 5 m grid screening method and the lowest Thiessen polygon point screening method to extract the ground point. Ordinary kriging interpolation method was used to retrieve Digital Elevation Model (DEM). Referring to the elevations of 1466 sample points, we analysed the accuracy for extracting DEM by the two selected methods of extracting ground point. The results showed that the DEM extracting accuracy by the near lowest point screening method is better than the grid screening method.
Starting Page	6067
Ending Page	6070
File Size	971360
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6352223
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laser radar Remote sensing Accuracy Vegetation mapping Filtering Interpolation Filtering algorithms Thienssen Airborne LiDAR Ground point mountain forest TIN
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Practice of airborne LiDAR point cloud filtering method based on triangulated irregular network

A method for main road extraction from airborne LiDAR data in urban area

Urban DEM generation from airborne Lidar data

The automatic tree detection and delineation from Airborne LiDAR

Accuracy of the LiDAR-derived DEM in dense shrub areas in mountainous NW US

Digital terrain model extraction from airborne LiDAR data in complex mining area

Forest Reconstruction Using Point Cloud Data of Airborne LIDAR

Optimizing ground return detection through forest canopies with small footprint airborne mapping LiDAR

Study of the airborne LIDAR data filtering methods

The analysis on the accuracy of DEM retrieval by the ground lidar point cloud data extraction methods in mountain forest areas

Similar Documents

Practice of airborne LiDAR point cloud filtering method based on triangulated irregular network

A method for main road extraction from airborne LiDAR data in urban area

Urban DEM generation from airborne Lidar data

The automatic tree detection and delineation from Airborne LiDAR

Accuracy of the LiDAR-derived DEM in dense shrub areas in mountainous NW US

Digital terrain model extraction from airborne LiDAR data in complex mining area

Forest Reconstruction Using Point Cloud Data of Airborne LIDAR

Optimizing ground return detection through forest canopies with small footprint airborne mapping LiDAR

Study of the airborne LIDAR data filtering methods

The analysis on the accuracy of DEM retrieval by the ground lidar point cloud data extraction methods in mountain forest areas