Evaluating airborne laser scanning data for generation of digital elevation models and land cover mapping

This page lists all metadata that was entered for this dataset. You can download the dataset.

Feature
Citation
Citation Options
Identification
Title:Main Title: Evaluating airborne laser scanning data for generation of digital elevation models and land cover mapping
Descriptions:Abstract: Full-Waveform airborne laser scanning (ALS) is a novel method for observing the earth surface. It is suitable for the extraction of digital elevation models (DEM) and for estimating, for example buildings, single trees, and wooded areas, as 3D information. In this contribution, the processing of data from a flight survey with Riegl’s LMS-Q560 on 30 July 2008 is described. The accuracy of the extracted data was determined by comparison with official geodata and remote sensing data. For example, DEMs of the state survey office and land use classifications from satellite data were used. These data sets and the flight survey were realized within the Transregional Collaborative Research Centre 32 (CRC-TR32) 'Patterns in Soil-Vegetation-Atmosphere-Systems', which monitors patterns and fluxes in the Rurwatershed in Western Germany. Workflow and the results of the ALS data comparison are discussed in detail. ALS is an important method for deriving DEMs. Furthermore, it is capable of determining more information about the earth’s surface in a very accurate way.
Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 31-38
Identifier:10.5880/TR32DB.KGA92.5 (DOI)
Related Resource:Is Part Of 0454-1294 (ISBN)
Citation Advice:Hoffmeister, D. et al., 2011. Evaluating airborne laser scanning data for generation of digital evelation models and land cover mapping. In: Lenz-Wiedemann, V., Bareth, G. (Eds.), Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling. Geographisches Institut der Universität zu Köln (Kölner Geographische Arbeiten, 92), Cologne, Germany, 31-38. doi: 10.5880/TR32DB.KGA92.5
Responsible Party
Creators:Dirk Hoffmeister (Author), Juliane Bendig (Author), Guido Waldhoff (Author)
Contributors:Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution)
Publisher:Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
Publication Year:2011
Topic
TR32 Topic:Other
Related Subproject:Z1
Subjects:Keywords: Airborne Laser Scanning, DEM, Land Cover Mapping, Remote Sensing
File Details
Filename:Hoffmeister_et_al_2011b_KGA92.pdf
Data Type:Text - Book Section
Sizes:7344 Kilobytes
8 Pages
File Size:7.2 MB
Dates:Created: 18.11.2010
Issued: 05.10.2011
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Not peer reviewed
Publication Type:Book Section
Book Title:Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling
Editors:Victoria Lenz-Wiedemann, Georg Bareth
Series Title:Kölner Geographische Arbeiten
City:Cologne, Germany
Volume:92
Number of Pages:8 (31 - 38)
Metadata Details
Metadata Creator:Constanze Curdt
Metadata Created:05.08.2013
Metadata Last Updated:11.05.2021
Subproject:Z1
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:1137
Metadata Downloads:0
Dataset Downloads:8
Dataset Activity
Feature