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Technical Commission VIII (B8)

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Bibliographic data

fullscreen: Technical Commission VIII (B8)

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

Chapter

Title:
CLASSIFICATION AND MODELLING OF URBAN MICRO-CLIMATES USING MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING DATA B. Bechtel, T. Langkamp, J. Böhner, C. Daneke, J. Oßenbrügge, S. Schempp
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VIII (B8)
  • Cover
  • Title page
  • [Inhaltsverzeichnis]
  • [VIII/1:]
  • [VIII/2: Health]
  • [VIII/3: Atmosphere, Climate and Weather]
  • [VIII/4: Water]
  • [VIII/5: Energy and Solid Earth]
  • [VIII/6: Agriculture, Ecosystems and Bio-Diversity]
  • [VIII/7: Forestry]
  • [VIII/8: Land]
  • CLASSIFICATION AND MODELLING OF URBAN MICRO-CLIMATES USING MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING DATA B. Bechtel, T. Langkamp, J. Böhner, C. Daneke, J. Oßenbrügge, S. Schempp
  • GULLIES, GOOGLE EARTH AND THE GREAT BARRIER REEF: A REMOTE SENSING METHODOLOGY FOR MAPPING GULLIES OVER EXTENSIVE AREAS U. Gilad, R. Denham and D. Tindall
  • IMPROVEMENT OF THERMAL ESTIMATION AT LAND COVER BOUNDARY BY USING QUANTILE Tsukasa Hosomura
  • TRAJECTORY ANALYSIS OF FOREST CHANGES IN NORTHERN AREA OF CHANGBAI MOUNTAINS, CHINA FROM LANDSAT TM IMAGE F. Huang, H. J. Zhang, P. Wang
  • DEVELOPMENTS IN MONITORING RANGELANDS USING REMOTELY-SENSED CROSS-FENCE COMPARISONS Adam D. Kilpatrick, Stephen C. Warren-Smith, John L. Read, Megan M. Lewis, Bertram Ostendorf
  • OPERATIONAL OBSERVATION OF AUSTRALIAN BIOREGIONS WITH BANDS 8-19 OF MODIS B. K. McAtee, M. Gray, M. Broomhall, M. Lynch, P. Fearns
  • SPECTRAL UNMIXING OF BLENDED REFLECTANCE FOR DENSER TIME-SERIES MAPPING OF WETLANDS Ryo Michishita, Zhiben Jiang, Bing Xu
  • AUTOMATED CONSTRUCTION OF COVERAGE CATALOGUES OF ASTER SATELLITE IMAGE FOR URBAN AREAS OF THE WORLD Hiroyuki Miyazaki, Koki Iwao, Ryosuke Shibasaki
  • QUANTIFYING LAND USE/COVER CHANGE AND LANDSCAPE FRAGMENTATION IN DANANG CITY, VIETNAM: 1979-2009 N. H. K. Linh, S. Erasmi, M. Kappas
  • HIGH TEMPORAL FREQUENCY BIOPHYSICAL AND STRUCTURAL VEGETATION INFORMATION FROM MULTIPLE REMOTE SENSING SENSORS CAN SUPPORT MODELLING OF EVENT BASED HILLSLOPE EROSION IN QUEENSLAND B. Schoettker, R. Searle, M. Schmidt, S. Phinn
  • REMOTE SENSING TECHNIQUES AS A TOOL FOR ENVIRONMENTAL MONITORING Kamil Faisal, Mohamed AlAhmad, Ahmed Shaker
  • DETECTING SLUMS FROM QUICK BIRD DATA IN PUNE USING AN OBJECT ORIENTED APPROACH Sulochana Shekhar
  • GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PRODUCTS Haruhisa Shimoda, Kiyonari Fukue
  • SEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS Sreenivasulu Vemu, Udaya Bhaskar Pinnamaneni
  • CLOUD DETECTION BASED ON DECISION TREE OVER TIBETAN PLATEAU WITH MODIS DATA Lina Xu, Shenghui Fang, Ruiging Niu, Jiong Li
  • [VIII/9: Oceans]
  • [VIII/10: Cryosphere]
  • Cover

Full text

Gallo, K. P., and Owen, T. W., 1999. Satellite-Based 
Adjustments for the Urban Heat Island Temperature Bias. 
Journal of Applied Meteorology, 38(6), pp. 806-813. 
Grimmond, C. S. B., 2006. Progress in measuring and 
observing the urban atmosphere. Theoretical and applied 
climatology, 84(1), pp. 3-22. 
Lowry, W. P., 1977. Empirical estimation of urban effects on 
climate: A problem analysis. J. Appl. Meteorol., 16, pp. 129— 
135. 
Nichol, E. J., Fung, W. Y., Lam, K. S., and Wong, M. S., 2009. 
Urban heat island diagnosis using ASTER satellite images and 
in situ* air temperature. Atmospheric Research, 94, pp. 276— 
284. 
Oke, T. R. 1973. City size and the urban heat island. 
Atmospheric Environment, 7, pp. 769—779. 
Oke, T. R., 1982. The energetic basis of the urban heat island. 
Quaterly J. Royal Meterol. Soc., 108, pp. 1-24. 
Peng, H., Long, F., and Ding, C., 2005. Feature Selection Based 
on Mutual Information: Criteria of Max-Dependency, Max- 
Relevance, and Min-Redundancy. IEEE Transactions on 
Pattern Analysis and Machine Intelligence, 27(8), pp. 1226— 
1238. 
Rigo, G., and Parlow, E., 2007. Modelling the ground heat flux 
of an urban area using remote sensing data. Theoretical and 
Applied Climatology, 90(3-4), pp. 185-199. 
doi:10.1007/s00704-006-0279-8 
Roth, M., Oke, T. R., and Emery, W. J., 1989. Satellite-derived 
urban heat islands from three coastal cities and the utilization of 
such data in urban climatology. International Journal of 
Remote Sensing, 10(11), pp. 1699-1720. 
Stewart, I.D., and Oke, T. R., 2009. Newly developed “thermal 
climate zones” for defining and measuring urban heat island 
magnitude in the canopy layer. Preprints, T.R. Oke Symposium 
and Eighth Symposium on Urban Environment, January 11-15, 
Phoenix, AZ. 
Voogt, J. A., and Oke, T. R., 1997. Complete Urban Surface 
Temperatures. J. Appl. Meteorol., 36(9), pp. 1117-1132. 
Voogt, J. A., and Oke, T. R., 2003. Thermal remote sensing of 
urban climates. Remote Sensing of Environment, 86, pp. 370— 
384. 
Weng, Q., 2009. Thermal infrared remote sensing for urban 
climate and environmental studies: Methods, applications, and 
trends. /SPRS Journal of Photogrammetry and Remote Sensing, 
64(4), pp. 335—344. 
Wong, M. S., Nichol, J., and Kwok, K. H., 2009. The urban 
heat island in Hong Kong: causative factors and scenario 
analysis. Urban Remote Sensing Event, 2009 Joint, JURSE. doi: 
10.1109/URS.2009.5137468. 
Yow, D. M., 2007. Urban heat islands: observations, impacts, 
and adaptation. Geography Compass, 1(6), pp. 1227-1251. 
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 
7. ACKNOWLEDGEMENTS 
We are grateful to T. Bluemel and the Hochbahn Hamburg for 
the cooperation in the bus measurement campaign, to I. Lange 
and B. Brümmer for the Wettermast data as well as all further 
providers of station data used for the validation of the bus 
measurements. For remote sensing data we thank the NASA 
and Intermap Technologies. Further, we thank H. Peng and 
colleagues for the MRMR code, the Machine Learning Group at 
the University of Waikato for WEKA as well as O. Conrad and 
the SAGA user group for SAGA. 
  
  
    
    
    
    
     
   
    
    
    
     
  
    
   
     
   
  
     
  
    
    
     
  
  
     
    
    
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