An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data
文献类型：期刊论文
| 作者 | Zhang, Wei1,2 ; Li, Ainong2; Jin, Huaan2; Bian, Jinhu2; Zhang, Zhengjian2; Lei, Guangbin2; Qin, Zhihao1; Huang, Chengquan3
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| 刊名 | REMOTE SENSING
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| 出版日期 | 2013-10-01 |
| 卷号 | 5期号:10页码:5346-5368 |
| 关键词 | data fusion linear spectral mixing model multi-resolution segmentation sliding window temporal weight |
| ISSN号 | 2072-4292 |
| 通讯作者 | Li Ainong |
| 合作状况 | 国际 |
| 英文摘要 | Remotely 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. |
| WOS标题词 | Science & Technology ; Technology |
| 学科主题 | 摄影测量与遥感技术 |
| 类目[WOS] | Remote Sensing |
| 研究领域[WOS] | Remote Sensing |
| 关键词[WOS] | RESOLUTION SATELLITE DATA ; TIME-SERIES ; IMAGE FUSION ; COVER CHANGE ; MULTIRESOLUTION ; IMPACT ; TM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000328614900028 |
| 公开日期 | 2013-11-01 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/6455]  |
| 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 成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
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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