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/3: Atmosphere, Climate and Weather]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: AN INVESTIGATION OF LOCAL EFFECTS ON SURFACE WARMING WITH GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Y. Xue, T. Fung, J. Tsou

Document type:: Multivolume work

Structure type:: Chapter

AN INVESTIGATION OF LOCAL EFFECTS ON SURFACE WARMING WITH GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Y. Xue *"*, T Fung?, J. Tsov* ? Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, P.R.China- xueyc(@sasmac.cn "Department of Geography and Resource Management, the Chinese University of Hong Kong, Shatin, Hongkong SAR, P.R.China - tungfung@cuhk.edu.hk * School of Architecture, the Chinese University of Hong Kong, Shatin, Hongkong SAR, P.R.China - jinyeutsou@cuhk.edu.hk KEY WORDS: Urban Warming, Thermal Landscape, Geographically Weighted Regression (GWR), Thermal Infrared Remote Sensing, ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) ABSTRACT: Urban warming is sensitive to the nature (thermal properties, including albedo, water content, heat capacity and thermal conductivity) and the placement (surface geometry or urban topography) of urban surface. In the literature the spatial dependence and heterogeneity of urban thermal landscape is widely observed based on thermal infrared remote sensing within the urban environment. Urban surface warming is conceived as a big contribution to urban warming, the study of urban surface warming possesses significant meaning for probing into the problem of urban warming.The urban thermal landscape study takes advantage of the continuous surface derived from thermal infrared remote sensing at the landscape scale, the detailed variation of local surface temperature can be measured and analyzed through the systematic investigation. At the same time urban environmental factors can be quantified with remote sensing and GIS techniques. This enables a systematic investigation of urban thermal landscape with a link to be established between local environmental setting and surface temperature variation. The goal of this research is utilizing Geographically Weighted Regression (GWR) to analyze the spatial relationship between urban form and surface temperature variation in order to clarify the local effects on surface warming, moreover to reveal the possible dynamics in the local influences of environmental indicators on the variation of local surface temperature across space and time. In this research, GWR analysis proved that the spatial variation in relationships between environmental setting and surface temperature was significant with Monte Carlo significance test and distinctive in day-night change. Comparatively, GWR facilitated the site specific investigation based on local statistical technique. The inference based on GWR model provided enriched information regarding the spatial variation of local environment effect on surface temperature variation which global model cannot approach. 1. INTRODUCTION During the process of worldwide urbanization along with high rise and high density housing development in large cities, urban warming has received growing concern among the environmental issues corresponding with urban landscape change. Due to the complicate interplay between urban environment and local climate, it is far from being certain about the urban effects on local warming, few attention has been paid to the variations of local effects on urban thermal performance at a scale over whole city area during urban development, even endeavors is quite scarce to characterize and analyze the spatial heterogeneity and dependency of urban thermal landscape aiming at delimitation of local effects on surface warming at city scale combining the measurement of urban surface and geometry via a viewpoint of local variation in space and time. The urban thermal landscape study takes advantage of the continuous surface derived from thermal infrared remote sensing at the landscape scale, the detailed variation of local surface temperature can be measured and analyzed through * Corresponding author. the systematic investigation. At the same time urban environmental factors can be quantified with remote sensing and GIS techniques. This enables a systematic investigation of urban thermal landscape with a link to be established between local environmental setting and surface temperature variation. Then the mechanism which made the heterogeneity and complexity of urban surface thermal landscape can be studied in depth based on local statistical technique. Geographically Weighted Regression (GWR) is part of a growing trend in GIS towards local spatial analysis which intends to understand the spatial data in more detail through local statistics evaluation. In the literature a number of recent publications have demonstrated the analytical utility of GWR for various urban studies (Huang and Leung, 2002), while it has been scarcely utilized in urban climatic studies especially urban thermal landscape analysis. The interpretation of the local mechanism that affects and determines urban surface thermal abnormalities with the use of GWR presents significant potential for the in-depth investigation of local effects on urban surface temperature variation. The resulting outcome of GWR may help to examine the existence of potential correlation pattern in spatial inconstancy within

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