Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends

Weng, Qihao

doi:10.1016/j.isprsjprs.2009.03.007

Cited by 1,044 publications

(523 citation statements)

References 107 publications

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“…The Landsat TM images consist of 7 bands with a 30-m spatial resolution for Bands 1 to 5 and 7. The spatial resolution for Band 6 (thermal infrared) is 120 m. The LST products are calculated by the temperature emissivity separation algorithm [5] and have been corrected for atmospheric emissivity by the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences. The ASTER LST products were acquired on March 6th and August 8th, 2009, according to the cloud-free atmospheric conditions.…”

Section: Ufz and Lst Identificationmentioning

confidence: 99%

“…Green roofs and cool materials characterized by water retention or high solar reflectance values can also serve to cool the urban thermal environment [14e20]. The land surface temperature (LST) has been shown to be highly correlated with the near-surface air temperature [5,21]. The remotely sensed LST thus has thus often been used to assess the urban thermal environment due to its easy acquisition at a given moment and across broad areas [22,23].…”

Section: Introductionmentioning

confidence: 99%

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Assessing the stability of annual temperatures for different urban functional zones

Sun

Chen

et al. 2013

Building and Environment

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a b s t r a c tThe urban functional zone (UFZ) is the basic unit of urban planning, which is defined as an area of similar social and economic functions. Despite the importance of UFZs, the stability of their annual temperature between winter and summer has seldom been investigated. With an understanding of the thermal impacts that planning decisions can have, it is essential to know how UFZs can be designed to regulate temperatures in the urban environment. 690 UFZs were identified using ALOS images in 2009 in Beijing. Land surface temperature (LST) was extracted from daytime Landsat TM (2002) and ASTER (2009) images. The regional LST variation of 31 district-sized sub-regions was correlated to the types of UFZs in the region and structural features of the region such as area, size, diversity, complexity and connectivity. Results showed that: (1) UFZ types, in order from highest to lowest LST variation, were commercial, campus, high density residential, water, recreational, low density residential, road, preservation, and agricultural zones; (2) the regional LST variation was positively correlated with the area of campus, commercial, high density residential, water, and road zones, but negatively correlated with the area of agricultural and low density residential zones; (3) increased connectivity and complexity decreased regional LST variations. The results indicated that the stability of annual temperatures was determined not only by the UFZ type and size but also by the connectivity and complexity. These results are clearly useful and essential pieces of information that can be applied in urban planning to improve climate adaptability.Crown

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Section: Ufz and Lst Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing the stability of annual temperatures for different urban functional zones

Sun

Chen

et al. 2013

Building and Environment

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“…With the development of thermal infrared remote sensing in the last few decades, UHI can also refer to surface UHI; namely, the difference in land surface temperature (LST) at the urban canopy layer or the urban boundary layer (Buyantuyev and Wu, 2010;Saaroni et al, 2000;Voogt, 2002). The LST is the mean radiative skin temperature, determined by air temperature and long-wave radiation between the surface and the atmosphere (Nichol et al, 2009;Weng, 2009). Unlike air temperature, LST has a higher spatial resolution and relates more closely to surface land use or landscape pattern, which can easily be derived from remote sensing data (Imhoff et al, 2010;Voogt and Oke, 2003;Weng, 2009).…”

Section: Introductionmentioning

confidence: 99%

Application of a new integrated landscape index to predict potential urban heat islands

Chen

Zhao

Yao

et al. 2016

Ecological Indicators

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a b s t r a c tStudies on the interactions between urban landscape patterns and land surface temperatures are the key to urban heat island (UHI) mitigation. However, the landscape pattern indices used in previous studies were inconsistent in type and number. Furthermore, few studies combined the composition and configuration indices into one integrated indicator. The description of landscape pattern is thus a great yet rewarding challenge. In this study, we used the integrated location weighted landscape index (LWLI) proposed by Chen et al. (2009) and revised it to indicate potential UHIs. Fifty-six circular landscape samples along four transects were created and the LWLI was derived based on the theory of the GINI index. The LWLI considers the type, composition and configuration of different land covers inside a landscape, where configuration is treated as location weights. The potential UHI was represented by the land surface temperature (LST) of each circle landscape center. The correlation analysis results showed that the LWLI was significantly positively correlated with summer potential UHIs, with a Pearson R equaling 0.736, and barely correlated with winter potential UHI. Moreover, the LWLI was slightly more strongly correlated with potential UHI than composition alone. These correlations weakened as the landscapes grew larger. The linear regression results further revealed that the LWLI explained about 53% of the summer potential UHI, which was slightly better than composition alone (49%). This indicated that the LWLI was as effective in predicting the potential UHI as the combination of several pattern indicators, echoing Tobler's first law of geography, which states that "all things are related, but nearby things are more related than distant things." This study also leaves room for improvement of the index by integrating more environmental/ecological parameters as weights, and for further application of the index in other fields.

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“…Remote sensing thermal infrared data have been widely used in urban studies in order to estimate LST [15,[41][42][43]. Many multispectral sensors are able to measure the energy emitted from the Earth's surface in the thermal infrared portion of the electromagnetic spectrum and thus, LST can be calculated.…”

Section: Land Surface Temperature (Lst)mentioning

confidence: 99%

“…LST calculation depends on the effective estimation of surface emissivity, which is controlled by several factors such as water, plants, surface roughness, etc. [43]. In Figure 2, an example of MODIS derived nighttime LST distribution of Basel is presented.…”

Section: Land Surface Temperature (Lst)mentioning

confidence: 99%

A Conceptual List of Indicators for Urban Planning and Management Based on Earth Observation

Chrysoulakis

Feigenwinter

Triantakonstantis

et al. 2014

IJGI

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Sustainable development is a key component in urban studies. Earth Observation (EO) can play a valuable role in sustainable urban development and planning, since it represents a powerful data source with the potential to provide a number of relevant urban sustainability indicators. To this end, in this paper we propose a conceptual list of EO-based indicators capable of supporting urban planning and management. Three cities with different typologies, namely Basel, Switzerland; Tel Aviv, Israel; and Tyumen, Russia were selected as case studies. The EO-based indicators are defined to effectively record the physicalproperties of the urban environment in a diverse range of environmental sectors such as energy efficiency, air pollution and public health, water, transportation and vulnerability to hazards. The results assess the potential of EO to support the development of a set of urban environmental indicators towards sustainable urban planning and management.

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Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends

Cited by 1,044 publications

References 107 publications

Assessing the stability of annual temperatures for different urban functional zones

Assessing the stability of annual temperatures for different urban functional zones

Application of a new integrated landscape index to predict potential urban heat islands

A Conceptual List of Indicators for Urban Planning and Management Based on Earth Observation

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