NDLI: Multiple Regression Analysis for Unmixing of Surface Temperature Data in an Urban Environment

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Multiple Regression Analysis for Unmixing of Surface Temperature Data in an Urban Environment

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Multiple Regression Analysis for Unmixing of Surface Temperature Data in an Urban Environment

Content Provider	MDPI
Author	Wicki, Andreas Parlow, Eberhard
Abstract	Global climate change and increasing urbanization worldwide intensify the need for a better understanding of human heat stress dynamics in urban systems. During heat waves, which are expected to increase in number and intensity, the development of urban cool islands could be a lifesaver for many elderly and vulnerable people. The use of remote sensing data offers the unique possibility to study these dynamics with spatially distributed large datasets during all seasons of the year and including day and night-time analysis. For the city of Basel 32 high-quality Landsat 8 (L8) scenes are available since 2013, enabling comprehensive statistical analysis. Therefore, land surface temperature (LST) is calculated using L8 thermal infrared (TIR) imagery (stray light corrected) applying improved emissivity and atmospheric corrections. The data are combined with a land use/land cover (LULC) map and evaluated using administrative residential units. The observed dependence of LST on LULC is analyzed using a thermal unmixing approach based on a multiple linear regression (MLR) model, which allows for quantifying the gradual influence of different LULC types on the LST precisely. Seasonal variations due to different solar irradiance and vegetation cover indicate a higher dependence of LST on the LULC during the warmer summer months and an increasing influence of the topography and albedo during the colder seasons. Furthermore, the MLR analysis allows creating predicted LST images, which can be used to fill data gaps like in SLC-off Landsat 7 ETM+ data.
File Size	11213824
File Format	PDF
e-ISSN	20724292
DOI	10.3390/rs9070684
Journal	Remote Sensing
Issue Number	7
Volume Number	9
Language	English
Publisher Date	2017-07-04
Access Restriction	Open
Subject Keyword	land surface temperature thermal infrared data LST analysis atmospheric corrections land use/land cover multiple linear regression urban Landsat 8
Content Type	Text
Resource Type	Article

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