Land Surface Temperature from Landsat 5 TM images: comparison of different methods using airborne thermal data

Giannini, Massimiliano Basile; Belfiore, Oscar Rosario; Parente, Claudio; Santamaria, R.

doi:10.25103/jestr.083.12

Cited by 61 publications

(32 citation statements)

References 19 publications

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“…The steps involved in the image processing until the apparent surface temperature (AST) was obtained, were developed according to the methodology for obtaining the top of the atmospheric temperature [16], as the main objective of this study is to analyze the spatial thermal distribution in the city of Rio de Janeiro. Different than in some studies, such as those developed by Giannini et al [17], Rajeshwari and Mani [18], and Yu et al [19], the radiance, emissivity and atmospheric effect corrections were not realized. For obtaining AST, it was necessary to apply formulas in an ArcGis ® software raster calculator.…”

Section: Thermal Images Processingmentioning

confidence: 59%

Analysis of Climate Behavior and Land Use in the City of Rio de Janeiro, RJ, Brazil

Neiva

Silva

Cardoso

2017

Climate

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The city of Rio de Janeiro (Brazil) is located in a tropical zone of the planet, in medium latitude that experiences strong insolation throughout the year. The existence of different geographic factors, and different land uses and covers favor the diversity of existing microclimates. This study aims to analyze the different land uses and covers during the last 30 years that impact the varying climatic conditions in the city of Rio de Janeiro, especially for the development of the urban heat and fresh islands. To accomplish this research, images were used from the satellites Landsat-5 and Landsat-7 to capture the apparent surface temperatures, and land use and land cover maps. Comparing these three decades (1986, 1997 and 2016), an increase in the temperatures of urban areas is noticeable toward the last year, 2016. The neighborhoods located in the West and North zones showed the highest temperatures. The areas near the Pedra Branca, Tijuca and Mendanha massifs showed lower temperatures. Therefore, it is possible to recognize a relationship between land cover and temperature behavior; the greenest areas tend to register lower temperatures, and the urban areas demonstrate higher temperatures.Climate 2017, 5, 52 2 of 14 are: the impermeability of building materials, not retaining humidity; the presence of dark materials on buildings and pavements that absorb and store the most solar energy; as well as the removal of natural vegetation, the circulation of automobiles and the increase in urban verticalization [4].The consequences of this urbanization without proper planning, mainly when discussing climate changes, are the thermal discomfort, temperature increase, irregular air circulation, air quality changes, increases in precipitation, highest risks for flooding and landslides, and many other extreme climate events [5].Since the Urban Climate System (UCS) theory proposed by Carlos Augusto Monteiro, in 1976 in Brazil, and many other renowned studies on urban climate developed abroad during 20th century [6][7][8], there has been huge support for the development of new research into the climate of Brazilian cities, similar to the studies completed by Tavares [9], Tarifa [10], Paschoal [11], Leite [12], Lombardo [13] and Brandão [2] that are significant references on urban climate nowadays.This way, when researching urban climate, it is necessary to understand the specific thermal, hygrometric and rainy aspects of a certain place, so that there is an understanding of the real changes influenced by the urbanization process and different land uses and covers, which are essential for creating new ways of mitigating the consequent damages by the heat island phenomenon.For this reason, this study aims to analyze and identify the land use and land cover changes over the last 30 years (from 1986 until 2016), through Landsat 5 and 8 satellite images, and how these land cover changes involve different temperature conditions in the city of Rio de Janeiro, especially in connection with the formation of urban heat islands.

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Section: Thermal Images Processingmentioning

confidence: 59%

Analysis of Climate Behavior and Land Use in the City of Rio de Janeiro, RJ, Brazil

Neiva

Silva

Cardoso

2017

Climate

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“…In this research, bands 1-5 and 7 are used for subpixel land cover extraction whereas band 6 is used for land surface temperature estimation. Data conversion procedure as described by Chander et al [52] and Giannini et al [53] was followed to estimate surface reflectance and surface temperature. The TM data is available for the whole study period at an average repeat cycle of 16 days and 30-m spatial resolution.…”

Section: Remote Sensing Datamentioning

confidence: 99%

“…The land surface temperature (T sur f ace ) is retrieved from the thermal infrared data (TM band 6). The digital numbers are converted to at-sensor brightness temperature using Chander et al [52], Giannini et al [53].…”

Section: Land Surface Temperature Estimationmentioning

confidence: 99%

“…where T B is at-sensor brightness temperature computed from thermal band radiance (L 6 ) using constants K 1 and K 2 , λ is the central thermal band wavelength (11.45 µm), ρ c is constant (1.438 × 10 −2 mK) from Planck's constant, speed of light, and Boltzmann constant, and is the NDVI-based surface emissivity computed from TM bands 3 (red) and 4 (near infrared). The algorithm is described in detail in [53]. The derived LST is validated using ground-based air temperature data and shown in Figure 6…”

Section: Land Surface Temperature Estimationmentioning

confidence: 99%

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Trend Analysis of Las Vegas Land Cover and Temperature Using Remote Sensing

Stephen

2018

Land

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The Las Vegas urban area expanded rapidly during the last two decades. In order to understand the impacts on the environment, it is imperative that the rate and type of urban expansion is determined. Remote sensing is an efficient and effective way to study spatial change in urban areas and Spectral Mixture Analysis (SMA) is a valuable technique to retrieve subpixel landcover information from remote sensing images. In this research, urban growth trends in Las Vegas are studied over the 1990 to 2010 period using images from Landsat 5 Thematic Mapper (TM) and National Agricultural Imagery Program (NAIP). The SMA model of TM pixels is calibrated using high resolution NAIP classified image. The trends of land cover change are related to the land surface temperature trends derived from TM thermal infrared images. The results show that the rate of change of various land covers followed a linear trend in Las Vegas. The largest increase occurred in residential buildings followed by roads and commercial buildings. Some increase in vegetation cover in the form of tree cover and open spaces (grass) is also seen and there is a gradual decrease in barren land and bladed ground. Trend analysis of temperature shows a reduction over the new development areas with increased vegetation cover especially, in the form of golf courses and parks. This research provides a useful insight about the role of vegetation in ameliorating temperature rise in arid urban areas.

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“…The emissivity of the surface is controlled by factors such as water content, chemical composition, structure and soil roughness. The relationship between the land's surface temperature and the Normalized Difference Vegetation Index (NDVI) takes into account that vegetation and soils are the main surface coverage for the terrestrial component[6].…”

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confidence: 99%

Remote Sensing Methods for Estimation of Urban Heat Islands on the Example of Krasnoyarsk City

Matuzko¹

2018

SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings

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The temperature at the Earth's surface can be estimated by ground-based methods or satellite remote sensing data. Satellite remote sensing is the only means of obtaining longterm homogeneous series of land surface temperature data. The network of ground-based observations usually is quite rare, so it is important to obtain information by remote methods. From the values of the thermal infrared spectral bands, it is possible to determine the radio brightness temperature of the underlying surface. The compilation of temporal temperature series of the land surface is useful for solving a large number of scientific problems. The information obtained during the survey of the Earth in the thermal range can be used in geographic science in two main directions. In the first case, thermal radiation is an indicator of objects, phenomena and processes that are hidden from direct observation, and in the second case, thermal radiation itself, whose importance is important in climate change matters, is of interest. 18 th International Multidisciplinary Scientific GeoConference SGEM 2018 168 vegetative index computation. The main procedure was based on interpretation of Landsat-8 TIR data, with preliminary radiometric and atmospheric correction stage. Ten cloudless scenes during the snowless period from 2013 to 2016 were considered. Based on the results of the study, thermal anomalies of urban area were formed.

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Land Surface Temperature from Landsat 5 TM images: comparison of different methods using airborne thermal data

Cited by 61 publications

References 19 publications

Analysis of Climate Behavior and Land Use in the City of Rio de Janeiro, RJ, Brazil

Analysis of Climate Behavior and Land Use in the City of Rio de Janeiro, RJ, Brazil

Trend Analysis of Las Vegas Land Cover and Temperature Using Remote Sensing

Remote Sensing Methods for Estimation of Urban Heat Islands on the Example of Krasnoyarsk City

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