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

Integration of remote sensing based surface information into a three-dimensional microclimate model

Heldens, Wieke and Heiden, Uta and Esch, Thomas and Müller, Andreas and Dech, Stefan (2017) Integration of remote sensing based surface information into a three-dimensional microclimate model. ISPRS Journal of Photogrammetry and Remote Sensing, 125, pp. 106-124. Elsevier. DOI: 10.1016/j.isprsjprs.2017.01.009 ISSN 0924-2716

[img] PDF (author post print version) - Registered users only
2MB

Official URL: http://www.sciencedirect.com/science/article/pii/S0924271617300333

Abstract

Climate change urges cities to consider the urban climate as part of sustainable planning. Urban microclimate models can provide knowledge on the climate at building block level. However, very detailed information on the area of interest is required. Most microclimate studies therefore make use of assumptions and generalizations to describe the model area. Remote sensing data with area wide coverage provides a means to derive many parameters at the detailed spatial and thematic scale required by urban climate models. This study shows how microclimate simulations for a series of real world urban areas can be supported by using remote sensing data. In an automated process, surface materials, albedo, LAI/LAD and object height have been derived and integrated into the urban microclimate model ENVI-met. Multiple microclimate simulations have been carried out both with the dynamic remote sensing based input data as well as with manual and static input data to analyze the impact of the RS-based surface information and the suitability of the applied data and techniques. A valuable support of the integration of the remote sensing based input data for ENVI-met is the use of an automated processing chain. This saves tedious manual editing and allows for fast and area wide generation of simulation areas. The analysis of the different modes shows the importance of high quality height data, detailed surface material information and albedo.

Item URL in elib:https://elib.dlr.de/110859/
Document Type:Article
Title:Integration of remote sensing based surface information into a three-dimensional microclimate model
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Heldens, WiekeWieke.Heldens (at) dlr.deUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Müller, Andreasandreas.mueller (at) dlr.deUNSPECIFIED
Dech, StefanStefan.Dech (at) dlr.deUNSPECIFIED
Date:March 2017
Journal or Publication Title:ISPRS Journal of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:125
DOI :10.1016/j.isprsjprs.2017.01.009
Page Range:pp. 106-124
Publisher:Elsevier
ISSN:0924-2716
Status:Published
Keywords:Microclimate modelling, ENVI-met, imaging spectroscopy, surface materials, HyMap, object height, urban area
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
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Heldens, Dr Wieke
Deposited On:25 Jan 2017 11:39
Last Modified:06 Sep 2019 15:28

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.