IMHE OpenIR  > 数字山地与遥感应用中心
Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data
Yin, Gaofei1; Li, Jing2,3; Liu, Qinhuo2,3; Zhong, Bo2; Li, Ainong1
Corresponding AuthorLi, Jing ; Liu, Qinhuo
2016
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
EISSN2150-7058
Volume7Issue:8Pages:771-780
SubtypeArticle
AbstractSpatio-temporally continuous leaf area index (LAI) is required for surface process simulation, climate modelling and global change study. As a result of cloud contamination and other factors, the current LAI products are spatially and temporally discontinuous. A multi-sensor integration method was proposed in this paper to combine Terra-Moderate Resolution Imaging Spectroradiometer (MODIS), Aqua-MODIS, FY (FengYun) 3A-MEdium Resolution Spectrum Imager (MERSI) and FY3B-MERSI data to improve LAI spatio-temporal continuity. It consists of a normalization algorithm to eliminate the difference between MODIS and MERSI data in spatial and spectral aspects, a daily LAI retrieval algorithm based on neural networks and a maximum value compositing algorithm. The feasibility of our LAI retrieval method to improve continuity was assessed at national scale (in China). Results show that (1) the combination of multi-sensor data can significantly improve LAI temporal continuity, especially for mountainous regions which are characterized by high frequency of cloud coverage; (2) the improvement in spatial continuity is obvious as can be seen from the increase of retrieval ratio, defined as the ratio of the number of retrieved pixels to the total number of pixels, from 0.78 for GEOV1 LAI product, and 0.88 for MOD15A2 LAI product to 0.98 for multi-sensor LAI product.
KeywordModis
WOS HeadingsScience & Technology ; Technology
DOI10.1080/2150704X.2016.1182657
WOS Subject ExtendedRemote Sensing ; Imaging Science & Photographic Technology
Indexed BySCI
WOS KeywordLEAF-AREA INDEX ; ESSENTIAL CLIMATE VARIABLES ; TIME-SERIES ; GLOBAL PRODUCTS ; GEOV1 LAI ; DATA SETS ; VEGETATION ; RETRIEVAL ; ALGORITHM ; FAPAR
Language英语
Quartile3区
TOP
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000378625600006
Funding OrganizationNational Basic Research Program of China (973 Program)(2013CB733401) ; National Natural Science Foundation of China(41271366 ; National High Technology Research and Development Program of China(2012AA12A304) ; CAS 'Light of West China' Program ; Youth Foundation of the Institute of Mountain Hazards and Environment, CAS ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment, CAS ; 41571373 ; 41271433)
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/17485
Collection数字山地与遥感应用中心
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China
2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
3.JCGCS, Beijing, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Yin, Gaofei,Li, Jing,Liu, Qinhuo,et al. Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data[J]. REMOTE SENSING LETTERS,2016,7(8):771-780.
APA Yin, Gaofei,Li, Jing,Liu, Qinhuo,Zhong, Bo,&Li, Ainong.(2016).Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data.REMOTE SENSING LETTERS,7(8),771-780.
MLA Yin, Gaofei,et al."Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data".REMOTE SENSING LETTERS 7.8(2016):771-780.
Files in This Item:
File Name/Size DocType Version Access License
Improving LAI spatio(1343KB)期刊论文作者接受稿开放获取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
[Yin, Gaofei]'s Articles
[Li, Jing]'s Articles
[Liu, Qinhuo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yin, Gaofei]'s Articles
[Li, Jing]'s Articles
[Liu, Qinhuo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yin, Gaofei]'s Articles
[Li, Jing]'s Articles
[Liu, Qinhuo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Improving LAI spatio-temporal continuity using a combination of MODIS and MERSI data.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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