Characterizing the Spatio-Temporal Pattern of Land Surface Temperature through Time Series Clustering: Based on the Latent Pattern and Morphology

Characterizing the Spatio-Temporal Pattern of Land Surface Temperature through Time Series Clustering: Based on the Latent Pattern and Morphology

Land Surface Temperature (LST) is a critical component to understand the impact of urbanization on the urban thermal environment. Previous studies were inclined to apply only one snapshot to analyze the pattern and dynamics of LST without considering the non-stationarity in the temporal domain, or f...

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Bibliographic Details
Main Authors: Huimin Liu, Qingming Zhan, Chen Yang, Jiong Wang
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Remote Sensing
Subjects:
LST
spatio-temporal
pattern recognition
time series clustering
latent pattern
morphology
Online Access:http://www.mdpi.com/2072-4292/10/4/654

Internet

http://www.mdpi.com/2072-4292/10/4/654

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