A 10-m scale chemical industrial parks map along the Yangtze River in 2021 based on machine learning
文献类型：期刊论文
| 作者 | Song, Wenming2,3; Chen, Mingxing2,3; Tang, Zhipeng1,3 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2024-08-03 |
| 卷号 | 11期号:1页码:843 |
| DOI | 10.1038/s41597-024-03674-6 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Strengthening industrial pollution control in the Yangtze River is a fundamental national policy of China. There is a lack of detailed distribution of chemical industrial parks (CIPs). This Study utilized random forest (RF) and active learning to generate the distribution map of CIPs along the Yangtze River at 10-m resolution. Based on Sentinel-2 imagery, spectral and texture features are extracted. Combined with the Points of Interest (POI), a multidimensional feature space is constructed. By employing partitioned training, classification of CIPs map is achieved on Google Earth Engine (GEE). Technical validation along the entire Yangtze River demonstrates a model accuracy of 80%. Compared to traditional manual survey methods, this approach saves significant time and economic costs while also being timelier. As the first publicly available CIPs map within a 5-km range along the Yangtze River, this research will provide a scientific basis for the fine governance of chemical industries in the region. Additionally, it offers a model guide for the accurate identification of the chemical industry. |
| WOS关键词 | RANDOM FOREST ; CHINA ; WATER |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS记录号 | WOS:001283514400006 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206911]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Chen, Mingxing |
| 作者单位 | 1.Beijing Wuzi Univ, Sch Econ, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Wenming,Chen, Mingxing,Tang, Zhipeng. A 10-m scale chemical industrial parks map along the Yangtze River in 2021 based on machine learning[J]. SCIENTIFIC DATA,2024,11(1):843. |
| APA | Song, Wenming,Chen, Mingxing,&Tang, Zhipeng.(2024).A 10-m scale chemical industrial parks map along the Yangtze River in 2021 based on machine learning.SCIENTIFIC DATA,11(1),843. |
| MLA | Song, Wenming,et al."A 10-m scale chemical industrial parks map along the Yangtze River in 2021 based on machine learning".SCIENTIFIC DATA 11.1(2024):843. |
入库方式： OAI收割
来源：地理科学与资源研究所
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