Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities

GELETIČ, Jan, Michal LEHNERT and Petr DOBROVOLNÝ. Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities. Remote Sensing. Basel: MDPI AG, 2016, vol. 8, No 10, p. "nestrankovano", 18 pp. ISSN 2072-4292. Available from: https://dx.doi.org/10.3390/rs8100788.

Basic information

• Original name: Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities
• Authors: GELETIČ, Jan (203 Czech Republic, belonging to the institution), Michal LEHNERT (203 Czech Republic) and Petr DOBROVOLNÝ (203 Czech Republic, belonging to the institution).
• Edition: Remote Sensing, Basel, MDPI AG, 2016, 2072-4292.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10500 1.5. Earth and related environmental sciences
• Country of publisher: Switzerland
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 3.244
• RIV identification code: RIV/00216224:14310/16:00090910
• Organization unit: Faculty of Science
• Doi: http://dx.doi.org/10.3390/rs8100788
• UT WoS: 000387357300002
• Keywords in English: land surface temperature; local climate zones; ASTER; LANDSAT; analysis of variance; Prague; Brno; Czech Republic
• Tags: AKR, rivok
• Tags: International impact, Reviewed

Abstract

The main factors influencing the spatiotemporal variability of urban climate are quite widely recognized, including, for example, the thermal properties of materials used for surfaces and buildings, the mass, height and layout of the buildings themselves and patterns of land use. However, the roles played by particular factors vary from city to city with respect to differences in geographical location, overall size, number of inhabitants and more. In urban climatology, the concept of “local climate zones” (LCZs) has emerged over the past decade to address this heterogeneity. In this contribution, a new GIS-based method is used for LCZ delimitation in Prague and Brno, the two largest cities in the 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. It has been suggested that correctly-delineated LCZs should demonstrate the features typical of LST variability, and thus, typical surface temperatures should differ significantly among most LCZs. Zones representing heavy industry (LCZ 10), dense low-rise buildings (LCZ 3) and compact mid-rise buildings (LCZ 2) were identified as the warmest in both cities, while bodies of water (LCZ G) and densely-forested areas (LCZ A) made up the coolest zones. ANOVA and subsequent multiple comparison tests demonstrated that significant temperature differences between the various LCZs prevail. The results of testing were similar for both study areas (89.3% and 91.7% significant LST differences for Brno and Prague, respectively). LSTs computed from LANDSAT differentiated better between LCZs, compared with ASTER. LCZ 8 (large low-rise buildings), LCZ 10 (heavy industry) and LCZ D (low plants) are well-differentiated zones in terms of their surface temperatures. In contrast, LCZ 2 (compact mid-rise), LCZ 4 (open high-rise) and LCZ 9 (sparsely built-up) are less distinguishable in both areas analyzed. Factors such as seasonality and thermal anisotropy remain a challenge for future research into LST differences.