elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Urban morphology characterization from earth observation and land use classification for applications in urban climate models

Buchholz, Saskia and Regeling, Bianca and Heldens, Wieke and Kossmann, Meinolf and Esch, Thomas and Jochner, Susanne (2014) Urban morphology characterization from earth observation and land use classification for applications in urban climate models. 14th EMS Annual Meeting & 10th European Conference on Applied Climatology (ECAC), 6.-10. Oktober 2014, Prag, Tschechien.

Full text not available from this repository.

Abstract

We demonstrate (1) the use of earth observation in providing urban morphological and vegetation parameters needed by urban climate models, (2) an objective approach to create two different land use classifications based on the morphological parameters, and (3) the comparability of the new approach with in-situ derived land use classes and physical parameters (reference run). The new approach is developed and tested for Munich, Germany by integrating the obtained land use classifications and physical parameters into a 3-dimensional urban climate model (MUKLIMO_3). The model results of a case study are compared to the current approach (reference run) and evaluated against continuous and temporal meteorological measurements. Eight morphological parameters (building surface fraction, wall-area index, building height, impervious surface fraction, leaf area index and vegetation cover of low vegetation, tree cover, as well as tree height) were derived using 3 different earth observation data sets. An IKONOS scene of 17th September 2003, a Rapid Eye scene of 27th July 2009 and stereo images from the High Resolution Stereo Camera of 15th September 2004 were used to derive the urban morphological parameters. The accuracy and spatial resolution of the input data sets is sufficient for use in MUKLIMO_3. The two different land use classifications were prepared through the use of GAP statistic and cluster analysis based on (i) urban structure types of Munich and (ii) MUKLIMO_3 model grid. A comparison of the three different land use classifications with aerial photographs of the measurement stations shows that the classifications based on earth observation describe the land cover of the stations surrounding more realistically then the in-situ classification.

Item URL in elib:https://elib.dlr.de/93037/
Document Type:Conference or Workshop Item (Speech)
Title:Urban morphology characterization from earth observation and land use classification for applications in urban climate models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Buchholz, SaskiaDeutscher WetterdienstUNSPECIFIED
Regeling, BiancaUNSPECIFIEDUNSPECIFIED
Heldens, WiekeWieke.Heldens (at) dlr.deUNSPECIFIED
Kossmann, MeinolfDeutscher WetterdienstUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Jochner, SusanneUNSPECIFIEDUNSPECIFIED
Date:2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:urban climate model, land use classification, urban morphology, earth observation
Event Title:14th EMS Annual Meeting & 10th European Conference on Applied Climatology (ECAC)
Event Location:Prag, Tschechien
Event Type:international Conference
Event Dates:6.-10. Oktober 2014
Organizer:European Meteorological Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Heldens, Dr Wieke
Deposited On:03 Mar 2015 14:48
Last Modified:03 Mar 2015 14:48

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.