Monitoring concepts for coastal areas using lidar data

Download statistics - Document (COUNTER):

Schmidt, A.; Rottensteiner, F.; Soergel, U.: Monitoring concepts for coastal areas using lidar data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 40 (2013), Nr. 1W1, S. 311-316.

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/980

Selected time period:

year: 
month: 

Sum total of downloads: 1,235




Thumbnail
Abstract: 
Coastal areas are characterized by high spatial and temporal variability. In order to detect undesired changes at early stages, enabling rapid countermeasures to mitigate or minimize potential harm or hazard, a recurrent monitoring becomes necessary. In this paper, we focus on two monitoring task: the analysis of morphological changes and the classification and mapping of habitats. Our concepts are solely based on airborne lidar data which provide substantial information in coastal areas. For the first task, we generate a digital terrain model (DTM) from the lidar point cloud and analyse the dynamic of an island by comparing the DTMs of different epochs with a time difference of six years. For the deeper understanding of the habitat composition in coastal areas, we classify the lidar point cloud by a supervised approach based on Conditional Random Fields. From the classified point cloud, water-land-boundaries as well as mussel bed objects are derived afterwards. We evaluate our approaches on two datasets of the German Wadden Sea.
License of this version: CC BY 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2013
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 1,146 92.79%
2 image of flag of No geo information available No geo information available 18 1.46%
3 image of flag of United States United States 8 0.65%
4 image of flag of United Kingdom United Kingdom 6 0.49%
5 image of flag of Switzerland Switzerland 6 0.49%
6 image of flag of Austria Austria 6 0.49%
7 image of flag of France France 5 0.40%
8 image of flag of China China 5 0.40%
9 image of flag of Spain Spain 4 0.32%
10 image of flag of Brazil Brazil 3 0.24%
    other countries 28 2.27%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse