Details
| Original language | English |
|---|---|
| Title of host publication | 2019 Joint Urban Remote Sensing Event (JURSE) |
| Subtitle of host publication | Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (electronic) | 978-1-7281-0009-8 |
| ISBN (print) | 978-1-7281-0010-4 |
| Publication status | Published - May 2019 |
| Event | 2019 Joint Urban Remote Sensing Event, JURSE 2019 - Vannes, France Duration: 22 May 2019 → 24 May 2019 |
Publication series
| Name | Joint Urban Remote Sensing Event |
|---|---|
| ISSN (Print) | 2334-0932 |
| ISSN (electronic) | 2642-9535 |
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 sensing 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.
Keywords
- climate modelling, PALM-4U, urban climate, urban planning, urban remote sensing
ASJC Scopus subject areas
- Environmental Science(all)
- Management, Monitoring, Policy and Law
- Social Sciences(all)
- Urban Studies
- Computer Science(all)
- Signal Processing
- Physics and Astronomy(all)
- Instrumentation
Sustainable Development Goals
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2019 Joint Urban Remote Sensing Event (JURSE) : Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1-4 8809010 (Joint Urban Remote Sensing Event).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Remote sensing-supported generation of surface descriptors for a highly detailed urban climate model
AU - Heldens, Wieke
AU - Maronga, Björn
AU - Zeidler, Julian
AU - Kanani-Sühring, Farah
AU - Hanke, Wiebke
AU - Esch, Thomas
N1 - Funding Information: This research was funded by the BMBF funding programme ‘Researchh for Sustainable Development’ (FONA), BMBF funding code: MOSAIK (Module A) 01LP1601.
PY - 2019/5
Y1 - 2019/5
N2 - 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 sensing 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.
AB - 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 sensing 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.
KW - climate modelling
KW - PALM-4U
KW - urban climate
KW - urban planning
KW - urban remote sensing
UR - http://www.scopus.com/inward/record.url?scp=85072055101&partnerID=8YFLogxK
U2 - 10.1109/JURSE.2019.8809010
DO - 10.1109/JURSE.2019.8809010
M3 - Conference contribution
AN - SCOPUS:85072055101
SN - 978-1-7281-0010-4
T3 - Joint Urban Remote Sensing Event
SP - 1
EP - 4
BT - 2019 Joint Urban Remote Sensing Event (JURSE)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Joint Urban Remote Sensing Event, JURSE 2019
Y2 - 22 May 2019 through 24 May 2019
ER -