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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Veröffentlicht in:	IEEE access 2022, Vol.10, p.84518-84534
Hauptverfasser:	Zhang, Sen, Zhang, Hebing, Gu, Xiaohe, Liu, Jinbao, Yin, Ziyan, Sun, Qian, Wei, Zhonghui, Pan, Yuchun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial satellites Conversion Digital Elevation Models Feature extraction Image acquisition Image classification Land management Land use Land use planning Landsat satellites long-time series Monitoring Non-agricultural cultivated land Policies Radio frequency random forest Remote sensing Satellite imagery Spatial temporal resolution spatio-temporal change Terrain Texture Time series Vegetation index Vegetation mapping
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