Monitoring concepts for coastal areas using lidar data

Show simple item record

dc.identifier.uri http://dx.doi.org/10.15488/980
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1004
dc.contributor.author Schmidt, Alena
dc.contributor.author Rottensteiner, Franz
dc.contributor.author Sörgel, Uwe
dc.date.accessioned 2016-12-22T10:06:49Z
dc.date.available 2016-12-22T10:06:49Z
dc.date.issued 2013
dc.identifier.citation 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.
dc.description.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. eng
dc.language.iso eng
dc.publisher Hannover : International Society for Photogrammetry and Remote Sensing
dc.relation.ispartof ISPRS Hannover Workshop 2013, 21-24 May 2013
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 40 (2013)
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Classification eng
dc.subject Coast eng
dc.subject Conditional Random Fields eng
dc.subject Digital terrain model eng
dc.subject Lidar eng
dc.subject Classification (of information) eng
dc.subject Coastal zones eng
dc.subject Ecosystems eng
dc.subject Random processes eng
dc.subject Temperature control eng
dc.subject Airborne lidar data eng
dc.subject Digital terrain model eng
dc.subject Lidar point clouds eng
dc.subject Monitoring tasks eng
dc.subject Morphological changes eng
dc.subject Spatial and temporal variability eng
dc.subject Time-differences eng
dc.subject Optical radar eng
dc.subject.ddc 000 | Informatik, Informationswissenschaft, allgemeine Werke ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Monitoring concepts for coastal areas using lidar data
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 16821750
dc.bibliographicCitation.issue 1W1
dc.bibliographicCitation.volume 40
dc.bibliographicCitation.firstPage 311
dc.bibliographicCitation.lastPage 316
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Files in this item

This item appears in the following Collection(s):

Show simple item record

 

Search the repository


Browse

My Account

Usage Statistics