Monitoring the Spatio-Temporal Changes of Non-Cultivated Land via Long-Time Series Remote Sensing Images in Xinghua

Monitoring the Spatio-Temporal Changes of Non-Cultivated Land via Long-Time Series Remote Sensing Images in Xinghua

The amount of cultivated land per capita in China is relatively low, and the phenomenon of non-cultivated land (NCL) in recent years has negatively impacted the stability of grain production in China. In this study, long-time series images obtained via satellite remote sensing were used to monitor s...

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Bibliographic Details
Main Authors: Sen Zhang, Hebing Zhang, Xiaohe Gu, Jinbao Liu, Ziyan Yin, Qian Sun, Zhonghui Wei, Yuchun Pan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Non-agricultural cultivated land
long-time series
random forest
spatio-temporal change
remote sensing
Online Access:https://ieeexplore.ieee.org/document/9852424/

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