Comparison of three different methods to identify fractional urban signals for improving climate modelling
文献类型：期刊论文
| 作者 | Hu, Yonghong1; Hou, Meiting1; Jia, Gensuo1; Zhang, Xiaoxuan1; Xu, Ronghan1; He, Yuting1 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 36期号:12页码:376-385 |
| 通讯作者 | Jia, GS (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm East Asia, Beijing 100029, Peoples R China. |
| 英文摘要 | Urbanization has changed the properties of the Earth's surface and resulted in modification of the biogeochemical cycle and possible climate feedback at global and regional scales. Such climate effects are especially evident locally over short periods in megacity areas. Climate model simulation and urbanization process analysis are often limited by poor accuracy of land-cover products that largely neglect mixed urban-surface information below certain thresholds. The present study compares three urban land identification methods (fractional cover, overlapping parabolic interpolation, and threshold) used in remote sensing and climate model parameterization with Landsat Thematic Mapper images and Moderate Resolution Imaging Spectroradiometer land-cover data sets in a systematic evaluation. We also analyse deviation induced by scaling effects and its influence on the urban radiation budget to better understand the implications of land-surface parameter deviation on regional climate analysis. A positive linear relationship is found between the spatial scale and urban-area deviation based on combined analysis of the three land identification methods, and deviation trends levelled off with an increase in the spatial scale. Coarse-resolution land-cover products could not capture well the urbanization process indicated by reference data from Beijing between 2000 and 2009, especially in urban fringe areas where major urban expansion was detected. Detailed sub-pixel information was possibly neglected by threshold methods, which resulted in strong deviation between land-cover products and actual conditions. The overlapping parabolic interpolation method used in climate models also produced deviation in surface parameter derivation during nested simulation work. This might further affect model performance at the regional scale and should be considered in climate model simulation. |
| 研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000357295800012 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38313]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Hu, Yonghong 2.Zhang, Xiaoxuan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 3.[Hou, Meiting] China Meteorol Adm, China Meteorol Adm Training Ctr, Beijing 100081, Peoples R China 4.[Jia, Gensuo 5.Xu, Ronghan] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm East Asia, Beijing 100029, Peoples R China 6.[Zhang, Xiaoxuan] China Univ Petr, Coll Geosci, Qingdao 266580, Peoples R China 7.[He, Yuting] Penn State Univ, Dept Meteorol, University Pk, PA 16802 USA |
| 推荐引用方式 GB/T 7714 | Hu, Yonghong,Hou, Meiting,Jia, Gensuo,et al. Comparison of three different methods to identify fractional urban signals for improving climate modelling[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2015,36(12):376-385. |
| APA | Hu, Yonghong,Hou, Meiting,Jia, Gensuo,Zhang, Xiaoxuan,Xu, Ronghan,&He, Yuting.(2015).Comparison of three different methods to identify fractional urban signals for improving climate modelling.INTERNATIONAL JOURNAL OF REMOTE SENSING,36(12),376-385. |
| MLA | Hu, Yonghong,et al."Comparison of three different methods to identify fractional urban signals for improving climate modelling".INTERNATIONAL JOURNAL OF REMOTE SENSING 36.12(2015):376-385. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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