A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics
文献类型：期刊论文
| 作者 | Jin Huaan1 ; Li Ainong1; Yin Gaofei3; Xiao Zhiqiang2; Bian Jinhu1; Nan Xi1; Jing Jincheng4
|
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2019 |
| 卷号 | 57期号:10页码:8153-8168 |
| 关键词 | Data assimilation downscaling Landsat MODIS multiscale |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2019.2918548 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Fine spatial details of vegetation growth are usually lost in leaf area index (LAI) products obtained from coarse spatial resolution satellite sensors. This may bring uncertainties in ecosystem process models, which usually require LAI products with fine spatiotemporal resolutions. Successful downscaling of LAI dynamics to fine spatial resolution is very important for meeting the demands of these models. Hence, a multiscale multisensor approach using the ensemble Kalman smoother (EnKS) technique is proposed in this paper. The LAI dynamics at a coarser spatial resolution are incorporated as prior information into the remotely sensed observations for time series LAI estimation at a finer spatial resolution. Downscaled LAI dynamics are evaluated based on spatial distribution and temporal trajectory. The results indicate the assimilated LAI to be in good agreement with the reference values at the different spatial scales. For example, the coefficient of determination (R-2) between the reference values and fine-resolution LAI results retrieved by the proposed approach is 0.71 with a root-mean-square-error (RMSE) value of 0.65 on Julian day 185 at the Agro site. The method has proved to be effective for downscaling LAI dynamics, which improves the spatiotemporal patterns of fine-resolution LAI retrievals with respect to earlier methods. |
| 电子版国际标准刊号 | 1558-0644 |
| 语种 | 英语 |
| WOS记录号 | WOS:000489829200065 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/31297]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Li Ainong |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China; 2.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Coll Remote Sensing Sci & Engn, Beijing 100875, Peoples R China; 3.Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Sichuan, Peoples R China; 4.Sichuan Prov Coal Design & Res Inst, Chengdu 610000, Sichuan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin Huaan,Li Ainong,Yin Gaofei,et al. A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,57(10):8153-8168. |
| APA | Jin Huaan.,Li Ainong.,Yin Gaofei.,Xiao Zhiqiang.,Bian Jinhu.,...&Jing Jincheng.(2019).A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(10),8153-8168. |
| MLA | Jin Huaan,et al."A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.10(2019):8153-8168. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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