IMHE OpenIR  > 数字山地与遥感应用中心
A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics
Jin Huaan1; Li Ainong1; Yin Gaofei3; Xiao Zhiqiang2; Bian Jinhu1; Nan Xi1; Jing Jincheng4
2019
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
Volume57Issue:10Pages:8153-8168
SubtypeArticle
Contribution Rank1
AbstractFine 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.
KeywordData assimilation downscaling Landsat MODIS multiscale
DOI10.1109/TGRS.2019.2918548
Indexed BySCI
Language英语
Quartile2区
TOP
WOS IDWOS:000489829200065
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/31297
Collection数字山地与遥感应用中心
Corresponding AuthorLi Ainong
Affiliation1.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
Recommended Citation
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.
Files in This Item:
File Name/Size DocType Version Access License
08736988.pdf(13383KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jin Huaan]'s Articles
[Li Ainong]'s Articles
[Yin Gaofei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jin Huaan]'s Articles
[Li Ainong]'s Articles
[Yin Gaofei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jin Huaan]'s Articles
[Li Ainong]'s Articles
[Yin Gaofei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 08736988.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.