Pseudo-Invariant Feature-Based Linear Regression Model (PIF-LRM): An Effective Normalization Method to Evaluate Urbanization Impacts on Land Surface Temperature Changes

Pseudo-Invariant Feature-Based Linear Regression Model (PIF-LRM): An Effective Normalization Method to Evaluate Urbanization Impacts on Land Surface Temperature Changes

The Landsat land surface temperature (LST) product is widely used to understand the impact of urbanization on surface temperature changes. However, directly comparing multi-temporal Landsat LST is challenging, as the observed LST might be strongly affected by climatic factors. This study validated t...

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Bibliographic Details
Main Authors: Zhengwu Cai, Chao Fan, Falin Chen, Xiaoma Li
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Atmosphere
Subjects:
spatiotemporal change
pseudo-invariant feature
relative normalization
urban expansion
urban heat island
Online Access:https://www.mdpi.com/2073-4433/12/11/1540

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