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Remote sensing-supported generation of surface descriptors for a highly detailed urban climate model

Heldens, Wieke and Maronga, Björn and Zeidler, Julian and Kanani-Sühring, Farah and Hanke, Wiebke and Esch, Thomas (2019) Remote sensing-supported generation of surface descriptors for a highly detailed urban climate model. In: 2019 Joint Urban Remote Sensing Event, JURSE 2019, pp. 1-4. Joint Urban Remote Sensing Event 2019, 22.-24. Mai 2019, Vannes, Frankreich.

Full text not available from this repository.

Abstract

Urban climate models become increasingly important for academic research and sustainable urban planning. The turbulence-resolving micro climate model PALM-4U is currently being developed to better meet the high demands of urban planning related to the spatial detail of modeling scenarios. The study presented here, shows which data sources and approaches can be used to supply models like PALM-4U with the required highly detailed urban surface layers. It is thereby jointly made use of remote sensing, municipal and open data to generate surface layers at 1m spatial resolution. The surface layers describe buildings, vegetation, terrain, water, pavement, streets and bridges. The heterogeneous data sources and their differing quality and standards require the utilization of various remote rensing and GIS techniques. In this study it is demonstrated that the surface layers can successfully be generated for urban climate simulations. To ensure easy transferability, it should be considered to use thematically and/or coarser but more standardized data, after a sensitivity analysis of PALM-4U.

Item URL in elib:https://elib.dlr.de/127925/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Remote sensing-supported generation of surface descriptors for a highly detailed urban climate model
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Heldens, WiekeWieke.Heldens (at) dlr.dehttps://orcid.org/0000-0001-6209-5664
Maronga, Björnmaronga (at) muk.uni-hannover.deUNSPECIFIED
Zeidler, JulianJulian.Zeidler (at) dlr.dehttps://orcid.org/0000-0001-9444-2296
Kanani-Sühring, FarahInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Hanke, Wiebkewiebke.hanke (at) dlr.deUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Date:May 2019
Journal or Publication Title:2019 Joint Urban Remote Sensing Event, JURSE 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:urban climate, urban remote sensing, climate modelling, PALM-4U, urban planning
Event Title:Joint Urban Remote Sensing Event 2019
Event Location:Vannes, Frankreich
Event Type:international Conference
Event Dates:22.-24. Mai 2019
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Heldens, Dr Wieke
Deposited On:03 Sep 2019 15:37
Last Modified:03 Sep 2019 15:37

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