Heldens, Wieke und Heiden, Uta und Esch, Thomas und Müller, Andreas und Dech, Stefan (2017) Integration of remote sensing based surface information into a three-dimensional microclimate model. ISPRS Journal of Photogrammetry and Remote Sensing, 125, Seiten 106-124. Elsevier. doi: 10.1016/j.isprsjprs.2017.01.009. ISSN 0924-2716.
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Offizielle URL: http://www.sciencedirect.com/science/article/pii/S0924271617300333
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/110859/ | ||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
Titel: | Integration of remote sensing based surface information into a three-dimensional microclimate model | ||||||||||||||||||||||||
Autoren: |
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Datum: | März 2017 | ||||||||||||||||||||||||
Erschienen in: | ISPRS Journal of Photogrammetry and Remote Sensing | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
Band: | 125 | ||||||||||||||||||||||||
DOI: | 10.1016/j.isprsjprs.2017.01.009 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 106-124 | ||||||||||||||||||||||||
Verlag: | Elsevier | ||||||||||||||||||||||||
ISSN: | 0924-2716 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Microclimate modelling, ENVI-met, imaging spectroscopy, surface materials, HyMap, object height, urban area | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Fernerkundung der Landoberfläche (alt) | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Landoberfläche Deutsches Fernerkundungsdatenzentrum > Leitungsbereich DFD | ||||||||||||||||||||||||
Hinterlegt von: | Heldens, Dr Wieke | ||||||||||||||||||||||||
Hinterlegt am: | 25 Jan 2017 11:39 | ||||||||||||||||||||||||
Letzte Änderung: | 02 Nov 2023 14:48 |
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