Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China

Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China

The changes of land use/land cover (LULC) are important factor affecting the intensity of the urban heat island (UHI) effect. Based on Landsat image data of Wuhan, this paper uses cellular automata (CA) and artificial neural network (ANN) to predict future changes in LULC and LST. The results show t...

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Bibliographic Details
Main Authors: Maomao Zhang, Cheng Zhang, Abdulla-Al Kafy, Shukui Tan
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Land
Subjects:
land use/land cover changes
urban thermal environment
machine learning algorithms
artificial neural network
Wuhan
Online Access:https://www.mdpi.com/2073-445X/11/1/14

Internet

https://www.mdpi.com/2073-445X/11/1/14

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