XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

scanning data based on f Environment, 104(1), Systematic designs for os, 18(3), 283-307. | asia eagle and hawk. istruments/specim.asp D. W. (1998). Criteria forest management. In Sustainable forest older input to advance ly based indicators. CIFOR/FAO. r, M. A., & Teuber, K. coniferous forest leaf ar transect protocol. 12, from +P; ge, accessed 12 irborne and terrestrial hing, UK, pp. 1-336 ological studies on the ion in net assimilation cles and varieties, and als of Botany, 11(1), R., Privette, J.L., & uring fractional cover ecosystems: Digital e, and laser altimetry vironment, 74(1), 45- m thickness of point f Botany, 11(2), 178- [., Coram, J.E., Brady, (1994). A study of the psland. Department of irces, Victoria. ieving leaf area index heories, methods and 15. ENTS ny PhD. I would like (DSE), Simon Jones for their guidance and Prof. Mark Shortis (Melbourne Uni) for o the Vegetation RO Land and Water, y Opie, and Glenn »-kind supporters of MIT), Mariela Soto- ndrew Mellor (DSE) niversity and CRC-SI International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia CLASSIFICATION AND MODELLING OF URBAN MICRO-CLIMATES USING MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING DATA B. Bechtel ®*, T. Langkamp*, J. Bóhner “, C. Daneke*, J. OBenbrügge “, S. Schempp* * KlimaCampus, University of Hamburg, Bundesstraf3e 55, 20146 Hamburg, Germany — benjamin.bechtel(guni-hamburg.de Commission VIII/8: Land KEY WORDS: Urban, Climate, Human Settlement, Classification, Thermal, DEM/DTM, Landsat ABSTRACT: Remote sensing has widely been used in urban climatology since it has the advantage of a simultaneous synoptic view of the full urban surface. Methods include the analysis of surface temperature patterns, spatial (biophysical) indicators for urban heat island modelling, and flux measurements. Another approach is the automated classification of urban morphologies or structural types. In this study it was tested, whether Local Climate Zones (a new typology of thermally 'rather' homogenous urban morphologies) can be automatically classified from multisensor and multitemporal earth observation data. Therefore, a large number of parameters were derived from different datasets, including multitemporal Landsat data and morphological profiles as well as windowed multiband signatures from an airborne IFSAR-DHM. The results for Hamburg, Germany, show that different datasets have high potential for the differentiation of urban morphologies. Multitemporal thermal data performed very well with up to 96.3 % overall classification accuracy with a neuronal network classifier. The multispectral data reached 95.1 % and the morphological profiles 83.2 %.The multisensor feature sets reached up to 97.4 % with 100 selected features, but also small multisensoral feature sets reached good results. This shows that microclimatic meaningful urban structures can be classified from different remote sensing datasets. Further, the potential of the parameters for spatiotemporal modelling of the mean urban heat island was tested. Therefore, a comprehensive mobile measurement campaign with GPS loggers and temperature sensors on public buses was conducted in order to gain in situ data in high spatial and temporal resolution. 1. INTRODUCTION Urban climatology is an important application for remote sensing of urban areas. The growing interest in urban climatic phenomena like the urban heat island (UHI) is motivated by increasing vulnerability to health risks due to rapid urbanization in developing countries and climate change. The urban heat island indicates increased air temperatures in the urban atmosphere compared to a preurban state (Lowry, 1977) or (more often) to a rural reference station of identical regional and topo-climate. It is the most prominent effect of urban climate (Oke, 1982; Armfield, 2003; Yow, 2007) and has been studied more intensely than any other effect. The UHI varies both diurnally and seasonally and depends on the prevailing synoptic conditions. It is particularly pronounced at low wind speeds and high air pressure (Oke, 1973) and has been documented for many towns and cities of different sizes and on different continents (Oke, 1982). Further, it depends on the size of the city (Oke, 1973). Within a city the UHI greatly varies depending on the urban structure and vegetation and is therefore also referred to as urban heat archipelago. Remotely sensed data can contribute to descriptive urban climatic studies and a better understanding of the underlying climatic processes. The assessment of surface atmosphere exchanges (Rigo and Parlow, 2007) was fostered by recent advances in earth observation technologies. Further, remote sensing has widely been applied to characterise the urban surface and to determine parameters for model and experimental studies. Thus, fundamental physical attributes of * Corresponding author. measurement sites and key parameters for urban climate models can be derived from remotely sensed data (Grimmond, 2006). This includes parameters of the urban energy balance like albedo and emissivity (Frey et al, 2007; Frey and Parlow, 2009), the urban canyon geometry, and aerodynamic characteristics like roughness parameters (Bechtel et al., 2011). Further, automated classification of urban structures in respect to their microclimatic properties can contribute to urban climate studies. A typology of such thermally defined urban structures was recently introduced with the Local Climate Zones (LCZ) scheme (Stewart and Oke, 2009). Great attention has been devoted to the application of thermal infrared data for UHI assessment (Roth et al., 1989; Eliasson, 1992; Gallo and Owen, 1999; Voogt and Oke, 2003; Nichol et al, 2009; Wong et al, 2009; Fabrizi et al., 2011). Thermal imagery offers the chance to directly measure the surface temperature which is crucial for the urban energy balance and modulates the air temperature of the lowest atmospheric layer. Therefore, the spatial structure of the surface temperature patterns is not only directly related to surface characteristics but also used to study the energy balance and the relation between atmospheric heat island and surface temperature heat island (Voogt and Oke, 2003). However, there are various problems involved in linking thermal imagery to air temperatures which mostly remain unsolved (Roth et al., 1989; Voogt and Oke, 1997; Voogt and Oke, 2003). Beside recent advances in the development of surface parameters for assessing the urban thermal response, "new methods for estimation of UHI parameters from multi-temporal

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