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  Multisensoral remote sensing for the microclimatic characterisation and classification of urban structures

Bechtel, B. (2011). Multisensoral remote sensing for the microclimatic characterisation and classification of urban structures. Photogrammetrie Fernerkundung Geoinformation, (5), 325-338. doi:10.1127/1432-8364/2011/0090.

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 Creators:
Bechtel, Benjamin1, Author           
Affiliations:
1B 5 - Urban Systems - Test Bed Hamburg, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863485              

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Free keywords: COASTAL CITIES; PARAMETERIZATION; CLIMATOLOGY; FLUXLandsat; IFSAR; Urban climate; Multitemporal thermography;
 Abstract: Multisensoral remote sensing for the microclimatic characterisation and classification of urban structures. Remote sensing can play an important role for the microclimatic characterisation of urban structures. Against the background of relevant climatic properties of urban surfaces (i.e. thermal and aerodynamic) new surface parameters from different datasets for the comprehensive urban climatologic characterisation are developed for the case of Hamburg. The annual cycle of surface temperatures in multitemporal Landsat data is approximated by a sine function. The extracted parameters "Mean Annual Surface Temperature" (MAST) and "Yearly Amplitude of Surface Temperature" (YAST) show substantial distinctions between urban structures and are strongly correlated with a long-term urban heat island (UHI) pattern derived from floristic proxy data. The frequency distribution of heights from an interferometric SAR digital height model (IFSAR-DHM) from Intermap Technologies shows a clear correspondence with the surface roughness. Eventually, it is shown, that the new parameters are suitable for the classification of urban micro-climatic structures.

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Language(s): deu - German
 Dates: 2011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Photogrammetrie Fernerkundung Geoinformation
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: (5) Sequence Number: - Start / End Page: 325 - 338 Identifier: ISSN: 1432-8364