GELETIČ, Jan, Michal LEHNERT a Petr DOBROVOLNÝ. Statistical analyses of Land Surface Temperature in Local Climate Zones: Case study of Brno and Prague (Czech Republic). In Prashanth Marpu. Joint Urban Remote Sensing Event 2017. Dubai: IEEE. s. nestránkováno, 4 s. ISBN 978-1-5090-5808-2. doi:10.1109/JURSE.2017.7924530. 2017.
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Základní údaje
Originální název Statistical analyses of Land Surface Temperature in Local Climate Zones: Case study of Brno and Prague (Czech Republic)
Autoři GELETIČ, Jan (203 Česká republika, garant, domácí), Michal LEHNERT (203 Česká republika) a Petr DOBROVOLNÝ (203 Česká republika, domácí).
Vydání Dubai, Joint Urban Remote Sensing Event 2017, od s. nestránkováno, 4 s. 2017.
Nakladatel IEEE
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10500 1.5. Earth and related environmental sciences
Utajení není předmětem státního či obchodního tajemství
Forma vydání paměťový nosič (CD, DVD, flash disk)
Kód RIV RIV/00216224:14310/17:00096376
Organizační jednotka Přírodovědecká fakulta
ISBN 978-1-5090-5808-2
Doi http://dx.doi.org/10.1109/JURSE.2017.7924530
UT WoS 000406006100002
Klíčová slova česky Povrchová teplota; Místní klimatické zóny; ASTER; LANDSAT; ANOVA
Klíčová slova anglicky Land Surface Temperature; Local Climate Zones; ASTER; LANDSAT; Analysis of variance
Štítky NZ, rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 23. 4. 2020 15:20.
Anotace
The classification of “local climate zones” (LCZs) emerged in urban climatology to standardize description of urban climate research sites. One of the goals of classification was to get beyond urban-rural dichotomy which enabled to study urban air temperature field in more detail. Based on empirical and modelling work LCZ have proven effective in examining intra-urban air temperature differences, however a robust examination of intra-urban land surface temperatures using the LCZ framework remains elusive. In this study a GIS-based method is used for LCZ delimitation in Prague and Brno (Czech Republic), while land surface temperatures (LSTs) derived from LANDSAT and ASTER satellite data are employed for exploring the extent to which LCZ classes discriminate with respect to LSTs. Results indicate that LCZs demonstrate the features typical of LST variability, and thus typical surface temperatures differ significantly among most LCZs. ANOVA and subsequent multiple comparison tests demonstrated that significant temperature differences between the various LCZs prevail in both cities (89.3% and 91.6% significant LST differences for Brno and Prague respectively). In general, LCZ 8 (large low-rise buildings), LCZ 10 (heavy industry) and LCZ D (low plants) are well-distinguishable, while LCZ 2 (compact midrise), LCZ 4 (open high-rise), and LCZ 9 (sparsely built-up) are less distinguishable in terms of their LST. In most of the scenes LCZ 10 (heavy industry), LCZ 2 (mid-rise buildings) and LCZ 3 (low-rise building) are the warmest and LCZ G (water bodies) and LCZ A (dense forest) are the coolest zones in term of their LST. Further studies are needed to account for observational errors (such as seasons differences or thermal anisotropy) on LCZ LST patterns.
VytisknoutZobrazeno: 29. 3. 2024 14:56