Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data
文献类型：期刊论文
| 作者 | Liang, Ying1,2; Cao, Shisong1,2; Du, Mingyi1,2; Lu, Linlin3; Jiang, Jie1; Quan, Jinling4; Yang, Meizi5 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2023-12-31 |
| 卷号 | 16期号:1页码:3456-3488 |
| ISSN号 | 1753-8947 |
| 关键词 | Local climate zone land cover three-dimensional urban structure parameters nighttime light multi-classifiers |
| DOI | 10.1080/17538947.2023.2251437 |
| 通讯作者 | Cao, Shisong(caoshisong@bucea.edu.cn) |
| 英文摘要 | The local climate zone (LCZ) scheme has been widely utilized in regional climate modeling, urban planning, and thermal comfort investigations. However, existing LCZ classification methods face challenges in characterizing complex urban structures and human activities involving local climatic environments. In this study, we proposed a novel LCZ mapping method that fully uses space-borne multi-view and diurnal observations, i.e. daytime Ziyuan-3 stereo imageries (2.1 m) and Luojia-1 nighttime light (NTL) data (130 m). Firstly, we performed land cover classification using multiple machine learning methods (i.e. random forest (RF) and XGBoost algorithms) and various features (i.e. spectral, textural, multi-view features, 3D urban structure parameters (USPs), and NTL). In addition, we developed a set of new cumulative elevation indexes to improve building roughness assessments. The indexes can estimate building roughness directly from fused point clouds generated by both along- and across-track modes. Finally, based on the land cover and building roughness results, we extracted 2D and 3D USPs for different land covers and used multi-classifiers to perform LCZ mapping. The results for Beijing, China, show that our method yielded satisfactory accuracy for LCZ mapping, with an overall accuracy (OA) of 90.46%. The overall accuracy of land cover classification using 3D USPs generated from both along- and across-track modes increased by 4.66%, compared to that of using the single along-track mode. Additionally, the OA value of LCZ mapping using 2D and 3D USPs (88.18%) achieved a better result than using only 2D USPs (83.83%). The use of NTL data increased the classification accuracy of LCZs E (bare rock or paved) and F (bare soil or sand) by 6.54% and 3.94%, respectively. The refined LCZ classification achieved through this study will not only contribute to more accurate regional climate modeling but also provide valuable guidance for urban planning initiatives aimed at enhancing thermal comfort and overall livability in urban areas. Ultimately, this study paves the way for more comprehensive and effective strategies in addressing the challenges posed by urban microclimates. |
| WOS关键词 | LAND-COVER ; URBAN AREAS ; PATTERN-ANALYSIS ; CLASSIFICATION ; CHINA ; INDEX ; WUDAPT ; MODEL ; SCALE ; CITY |
| 资助项目 | The author appreciates the editors and reviewers for their comments, suggestions, and valuable time and efforts in reviewing this manuscript. |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:001054749800001 |
| 资助机构 | The author appreciates the editors and reviewers for their comments, suggestions, and valuable time and efforts in reviewing this manuscript. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196623]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cao, Shisong |
| 作者单位 | 1.Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, 1 Zhanlan Rd, Beijing 100044, Peoples R China 2.Minist Nat Resources, Key Lab Urban Spatial Informat, Beijing, Peoples R China 3.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Beijing Univ Civil Engn & Architecture, Sch Architecture & Urban Planning, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang, Ying,Cao, Shisong,Du, Mingyi,et al. Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2023,16(1):3456-3488. |
| APA | Liang, Ying.,Cao, Shisong.,Du, Mingyi.,Lu, Linlin.,Jiang, Jie.,...&Yang, Meizi.(2023).Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1),3456-3488. |
| MLA | Liang, Ying,et al."Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023):3456-3488. |
入库方式： OAI收割
来源：地理科学与资源研究所
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