Production-Living-Ecological Spatial Function Identification and Pattern Analysis Based on Multi-Source Geographic Data and Machine Learning
文献类型：期刊论文
| 作者 | Bu, Ziqiang2; Fu, Jingying2; Jiang, Dong2,3; Lin, Gang2 |
| 刊名 | LAND
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 12期号:11页码:2029 |
| 关键词 | multi-source data multi-scale segmented PLES random forest |
| DOI | 10.3390/land12112029 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Land use cannot be simply understood as land cover. The same land may carry different functions, such as production, living, and ecological applications; the dominant function of land will affect and restrict other uses. Disorderly urbanization and industrialization have led to an intensification of conflicts among the production, living, and ecological functions of land, which is a major constraint on regional sustainable development. This paper took the perspective of land-use function and used multi-source data such as Sentinel remote-sensing imagery, VIIRS night-time light data, and POIs to classify land-use functions on a large scale in the Beijing-Tianjin-Hebei (BTH) urban agglomeration. The specific research process was as follows. Firstly, the BTH region was multi-scale-segmented based on Sentinel remote-sensing data. Then, the spectral, texture, shape, and socio-economic features of each small area after segmentation were extracted. Moreover, a PLES land-use classification system oriented towards land-use function was established, and a series of representative samples were selected. Subsequently, a random forest model was trained using these samples; then, the trained model was used for the large-scale analysis of land use in the entire BTH region. Finally, the spatial distribution patterns and temporal-spatial evolution characteristics of PLES in the BTH region from 2016 to 2021 were analyzed from the macro level to the micro level. |
| WOS关键词 | LAND-COVER CLASSIFICATION ; IMAGE CLASSIFICATION ; TREE |
| WOS研究方向 | Environmental Sciences & Ecology |
| 出版者 | MDPI |
| WOS记录号 | WOS:001118215200001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201018]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 作者单位 | 1.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bu, Ziqiang,Fu, Jingying,Jiang, Dong,et al. Production-Living-Ecological Spatial Function Identification and Pattern Analysis Based on Multi-Source Geographic Data and Machine Learning[J]. LAND,2023,12(11):2029. |
| APA | Bu, Ziqiang,Fu, Jingying,Jiang, Dong,&Lin, Gang.(2023).Production-Living-Ecological Spatial Function Identification and Pattern Analysis Based on Multi-Source Geographic Data and Machine Learning.LAND,12(11),2029. |
| MLA | Bu, Ziqiang,et al."Production-Living-Ecological Spatial Function Identification and Pattern Analysis Based on Multi-Source Geographic Data and Machine Learning".LAND 12.11(2023):2029. |
入库方式： OAI收割
来源：地理科学与资源研究所
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