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(1)change class code: 1:"gain" 2:"loss" 3:"gain then loss": afforested areas are eventually destroyed back to non-forest land 4:"loss then gain":forest areas recovered or replanted after disturbances (2)Citation Please cite the dataset including version number and the following paper when using this forest change result: Jing Guo, Peng Gong, Iryna Dronova & Zhiliang Zhu (2022) Forest cover change in China from 2000 to 2016, International Journal of Remote Sensing, 43:2, 593-606, DOI: 10.1080/01431161.2021.2022804 (3)Notes 1. We encourage people to send us feedback if you found some mistakes while using this data via email. 2. Welcome discussions around potential collaborations. 【You can email Jing (guoj15@tsinghua.org.cn).】
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 3 |

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