CliSAP successfully finished in 2018. Climate research continues in the Cluster of Excellence "CLICCS".
Benjamin Bechtel

Dr. Benjamin Bechtel

Participating Researcher

Contact

Universität Hamburg, Center for Earth System Research and Sustainability (CEN)
Institute of Geography
Room 811
Bundesstraße 55
20146 Hamburg

+49 40 42838 4962
benjamin.bechteldummy@uni-hamburgdummy2.de

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Research interests

Urban climatology, urban remote sensing, classification of local climate zones (LCZ), downscaling of land surface temperature (LST)

CliSAP Publications

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  • Wang, R., Cai, M., Ren, C., Bechtel, B., Xu, Y., & Ng, E. (2019). Detecting multi-temporal land cover change and land surface temperature in Pearl River Delta by adopting local climate zone. Urban Climate, 28: 100455. doi:10.1016/j.uclim.2019.100455.
  • Liu, Z., Zhan, W., Lai, J., Hong, F., Quan, J., Bechtel, B., Huang, F., & Zou, Z. (2019). Balancing prediction accuracy and generalization ability: A hybrid framework for modelling the annual dynamics of satellite-derived land surface temperatures. ISPRS Journal of Photogrammetry and Remote Sensing, 151, 189-206. doi:10.1016/j.isprsjprs.2019.03.013.
  • Bechtel, B., Alexander, P. J., Beck, C., Böhner, J., Brousse, O., Ching, J., Demuzere, M., Fonte, C., Gál, T., Hidalgo, J., Hoffmann, P., Middel, A., Mills, G., Ren, C., See, L., Sismanidis, P., Verdonck, M.-L., Xu, G., & Xu, Y. (2019). Generating WUDAPT Level 0 data – Current status of production and evaluation. Urban Climate, 27, 24-45. doi:10.1016/j.uclim.2018.10.001.
  • Demuzere, M., Bechtel, B., & Mills, G. (2019). Global transferability of local climate zone models. Urban Climate, 27, 46-63. doi:10.1016/j.uclim.2018.11.001.
  • Hidalgo, J., Dumas, G., Masson, V., Petit, G., Bechtel, B., Bocher, E., Foley, M., Schoetter, R., & Mills, G. (2019). Comparison between local climate zones maps derived from administrative datasets and satellite observations. Urban Climate, 27, 64-89. doi:10.1016/j.uclim.2018.10.004.
  • Bobrowski, M., Bechtel, B., Böhner, J., Oldeland, J., Weidinger, J., & Schickhoff, U. (2018). Application of Thermal and Phenological Land Surface Parameters for Improving Ecological Niche Models of Betula utilis in the Himalayan Region. Remote Sensing, 10(6): 814, pp. 1-19. doi:10.3390/rs10060814.
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  • Zou, Z., Zhan, W., Liu, Z., Bechtel, B., Gao, L., Hong, F., Huang, F., & Lai, J. (2018). Enhanced Modeling of Annual Temperature Cycles with Temporally Discrete Remotely Sensed Thermal Observations. Remote Sensing, 10(4): 650, pp. 1-12. doi:10.3390/rs10040650.
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  • Bechtel, B., & Sismanidis, P. (2018). Time series analysis of moderate resolution land surface temperatures. In Q. Weng (Ed.), Remote Sensing: Time Series Image Processing. Taylor & Francis.
  • Bechtel, B., Pesaresi, M., Florczyk, A. J., & Mills, G. (2018). Beyond built-up – the internal makeup of urban areas. In Q. Weng, D. Quattrochi, & P. E. Gamba (Eds.), Urban Remote Sensing (2nd. ed.). Boca Raton: CRC Press.
  • Wiesner, S., Bechtel, B., Fischereit, J., Grützun, V., Hoffmann, P., Leitl, B., Rechid, D., Schlünzen, H., & Thomsen, S. (2018). Is It Possible to Distinguish Global and Regional Climate Change from Urban Land Cover Induced Signals? A Mid-Latitude City Example. Urban Science, 2(1): 12, pp. 1-22. doi:10.3390/urbansci2010012.
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