Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data

Sobrino, José A.; Li, Z. L.; Stoll, M. P.; Becker, F.

doi:10.1080/01431169608948760

Cited by 275 publications

(149 citation statements)

References 37 publications

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“…There are three kinds of commonly used methods: single band algorithms [43][44][45], split window algorithms [43,46,47] and multi-angle algorithms [48,49]. Single band algorithms are effective and need fewer parameters and are thus are used in this study.…”

Section: Land Surface Temperaturementioning

confidence: 99%

Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover

et al. 2017

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Abstract:In this paper, we present surface urban heat island (SUHI) analysis of Shanghai (China) based on the change in land use and land cover using satellite Landsat images from 2002 to 2013. With the rapid development of urbanization, urban ecological and environmental issues have aroused widespread concern. The urban heat island (UHI) effect is a crucial problem, as its generation and evolution are closely related to social and economic activities. Land-use and land-cover change (LUCC) is the key in analyzing the UHI effect. Shanghai, one of China's major economic, financial and commercial centers, has experienced high development density for several decades. A tremendous amount of farmland and vegetation coverage has been replaced by an urban impervious surface, leading to an intensive SUHI effect, especially in the city's center. Luckily, the SUHI trend has slowed due to reasonable urban planning and relevant green policies since the 2010 Expo. Data analyses demonstrate that an impervious surface (IS) has a positive correlation with land surface temperature (LST) but a negative correlation with vegetation and water. Among the three factors, impervious surface is the most relevant. Therefore, the policy implications of land use and control of impervious surfaces should pay attention to the relief of the current SUHI effect in Shanghai.Keywords: surface urban heat island (SUHI); land-use and land-cover change (LUCC); land surface temperature (LST); Shanghai; NDVI; MNDWI

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Section: Land Surface Temperaturementioning

confidence: 99%

Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover

et al. 2017

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“…C m and C n in Equation (9) and C 11 , C a , C b and C c in Equation (10) In Equations (9) and (10), the coefficients are dependent on the emissivity. Consistent with previous works [23,24,30,31], (1 − ε) and ∆ε were used to express coefficients C m , C n , C 11 , C a , C b and C c because these six coefficients were generated based on the analysis of the emissivity effect on LST retrieval. Then, Equations (11) and (12) can be obtained:…”

Section: T T a T T B T T C W Cmentioning

confidence: 99%

Algorithm Development for Land Surface Temperature Retrieval: Application to Chinese Gaofen-5 Data

et al. 2017

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Land surface temperature (LST) is a key variable in the study of the energy exchange between the land surface and the atmosphere. Among the different methods proposed to estimate LST, the quadratic split-window (SW) method has achieved considerable popularity. This method works well when the emissivities are high in both channels. Unfortunately, it performs poorly for low land surface emissivities (LSEs). To solve this problem, assuming that the LSE is known, the constant in the quadratic SW method was calculated by maintaining the other coefficients the same as those obtained for the black body condition. This procedure permits transfer of the emissivity effect to the constant. The result demonstrated that the constant was influenced by both atmospheric water vapour content (W) and atmospheric temperature (T 0 ) in the bottom layer. To parameterize the constant, an exponential approximation between W and T 0 was used. A LST retrieval algorithm was proposed. The error for the proposed algorithm was RMSE = 0.70 K. Sensitivity analysis results showed that under the consideration of NE∆T = 0.2 K, 20% uncertainty in W and 1% uncertainties in the channel mean emissivity and the channel emissivity difference, the RMSE was 1.29 K. Compared with AST 08 product, the proposed algorithm underestimated LST by about 0.8 K for both study areas when ASTER L1B data was used as a proxy of Gaofen-5 (GF-5) satellite data. The GF-5 satellite is scheduled to be launched in 2017.

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“…Different LST retrieval methods have been developed according to different data sources (thermal bands on a sensor), such as the split-window, temperature/emissivity separation, mono-window, and the single-channel methods (Qin et al, 2001, Sobrino et al, 1996Jimenez-Munoz & Sobrino, 2003). Among these methods three can be applied to Landsat data; these include the radiative transfer equation, mono-window algorithm and singlechannel algorithm.…”

Section: B Lst Retrieval Methodsmentioning

confidence: 99%

Investigation of quasi periodic signals of X-Ray bursts from neutron star AXP 1E2259+586 using Fourier analysis techniques

Ally¹,

Jiwaji²

2016

RWJour

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Abstract-Population increase within urban environments especially in the developing countries, has posed a need to understand the urban climates. While the importance of urban climates cannot be overemphasized, acquiring knowledge about contributing factors to urban climates can be challenging.Measuring land surface temperatures is one of the ways to acquire such knowledge which could be an uphill task if done manually. However, satellite remote sensing data could be applied to spatially estimate such factors. Land surface temperatures (LST) were estimated from the thermal bands of the Landsat Enhanced Thermal Mapper Plus (ETM+) using remote sensing and geographic information system (GIS) techniques. In addition, meteorological data which included air temperature and relative humidity for the same satellite image dates were used in the analysis. Results showed that Durban metropolitan area is experiencing a major heat island over the city centre with some micro ones around the metro. Comparing the LST results to the landuse/cover of the city showed the UHI phenomenon is a reality with a 3°C and 4°C LST increase over the city centre of Durban for winter and summer seasons respectively in 2012 and being attributed greatly to the human activities within the area that has led to increase thermal radiation from land surface over highly dense and paved areas.

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Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data

Cited by 275 publications

References 37 publications

Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover

Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover

Algorithm Development for Land Surface Temperature Retrieval: Application to Chinese Gaofen-5 Data

Investigation of quasi periodic signals of X-Ray bursts from neutron star AXP 1E2259+586 using Fourier analysis techniques

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