IMHE OpenIR  > 数字山地与遥感应用中心
An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data
Zhang, Wei1,2; Li, Ainong2; Jin, Huaan2; Bian, Jinhu2; Zhang, Zhengjian2; Lei, Guangbin2; Qin, Zhihao1; Huang, Chengquan3
Corresponding AuthorLi Ainong
2013
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume5Issue:10Pages:5346-5368
SubtypeArticle
AbstractRemotely sensed data, with high spatial and temporal resolutions, can hardly be provided by only one sensor due to the tradeoff in sensor designs that balance spatial resolutions and temporal coverage. However, they are urgently needed for improving the ability of monitoring rapid landscape changes at fine scales (e.g., 30 m). One approach to acquire them is by fusing observations from sensors with different characteristics (e.g., Enhanced Thematic Mapper Plus (ETM+) and Moderate Resolution Imaging Spectroradiometer (MODIS)). The existing data fusion algorithms, such as the Spatial and Temporal Data Fusion Model (STDFM), have achieved some significant progress in this field. This paper puts forward an Enhanced Spatial and Temporal Data Fusion Model (ESTDFM) based on the STDFM algorithm, by introducing a patch-based ISODATA classification method, the sliding window technology, and the temporal-weight concept. Time-series ETM+ and MODIS surface reflectance are used as test data for comparing the two algorithms. Results show that the prediction ability of the ESTDFM algorithm has been significantly improved, and is even more satisfactory in the near-infrared band (the contrasting average absolute difference [AAD]: 0.0167 vs. 0.0265). The enhanced algorithm will support subsequent research on monitoring land surface dynamic changes at finer scales.
KeywordData Fusion Linear Spectral Mixing Model Multi-resolution Segmentation Sliding Window Temporal Weight
Subject Area摄影测量与遥感技术
WOS HeadingsScience & Technology ; Technology
DOI10.3390/rs5105346
WOS Subject ExtendedRemote Sensing
Indexed BySCI
WOS KeywordRESOLUTION SATELLITE DATA ; TIME-SERIES ; IMAGE FUSION ; COVER CHANGE ; MULTIRESOLUTION ; IMPACT ; TM
Language英语
Quartile2区
TOP
WOS SubjectRemote Sensing
WOS IDWOS:000328614900028
Funding Organization"Hundred Talents" Project of Chinese Academy of Sciences ; "Hundred Talents" Project of Sichuan Province ; Strategic Priority Research Program-Climate Change: Carbon Budget and Related Issues(XDA05050105) ; Chinese Academy of Sciences(KZCX2-YW-QN313) ; National Natural Science Foundation project of China(41271433) ; National Social Science Foundation of China(11zd167)
Citation statistics
Cited Times:60[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/6455
Collection数字山地与遥感应用中心
山地表生过程与生态调控重点实验室
Affiliation1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
3.Univ Maryland, Dept Geog Sci, College Pk, MD 20741 USA
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
Zhang, Wei,Li, Ainong,Jin, Huaan,et al. An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data[J]. REMOTE SENSING,2013,5(10):5346-5368.
APA Zhang, Wei.,Li, Ainong.,Jin, Huaan.,Bian, Jinhu.,Zhang, Zhengjian.,...&Huang, Chengquan.(2013).An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data.REMOTE SENSING,5(10),5346-5368.
MLA Zhang, Wei,et al."An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data".REMOTE SENSING 5.10(2013):5346-5368.
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