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Caiyong Wei

As seen in: MDPI
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Articles

RST-DeepLabv3+: Multi-Scale Attention for Tailings Pond Identification with DeepLab

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By Xiangrui Feng, Caiyong Wei, Xiaojing Xue, Qian Zhang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Identification of Ecological Restoration Approaches and Effects Based on the OO-CCDC Algorithm in an Ecologically Fragile Region

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By Caiyong Wei, Xiaojing Xue, Lingwen Tian, Qin Yang
| MDPI
5. Discussion 5.1. Efficient Framework for Assessing Effectiveness of Multiple Ecological Restoration Approaches Ecological restoration is important in China’s ecological protection [,,]. It serves as a primary means to maintain biodiversity, improve ecosystem services, and ensure ecosystem stability [,].
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Assessing Forest Landscape Stability through Automatic Identification of Landscape Pattern Evolution in Shanxi Province of China

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By Bowen Hou, Caiyong Wei, Xiangnan Liu, Yuanyuan Meng
| MDPI
1. Introduction Ecosystem stability plays a prominent role in ecological safety and service [1]. A stable forest landscape incurs low management costs and shows sustainable development, which is also the purpose of ecological restoration [2,3]. An ecological restoration project implemented by the Chinese government on the Loess Plateau substantially changed the forest landscape in the area [4].
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