Monitoring Spatiotemporal Changes of Impervious Surfaces in Beijing City Using Random Forest Algorithm and Textural Features

Monitoring Spatiotemporal Changes of Impervious Surfaces in Beijing City Using Random Forest Algorithm and Textural Features

As the capital city of China, Beijing has experienced unprecedented economic and population growth and dramatic impervious surface changes during the last few decades. An application of the classification method combining the spectral and textural features based on Random Forest was conducted to mon...

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Bibliographic Details
Main Authors: Xuegang Dong, Zhiguo Meng, Yongzhi Wang, Yuanzhi Zhang, Haoteng Sun, Qingshuai Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
impervious surface
spatiotemporal change
textural feature
Random Forest
Beijing
urbanization process
Online Access:https://www.mdpi.com/2072-4292/13/1/153

Internet

https://www.mdpi.com/2072-4292/13/1/153

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