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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