Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin
文献类型：期刊论文
| 作者 | Yin, Gaofei1; Li, Jing1; Liu, Qinhuo1; Li, Longhui1; Zeng, Yelu1; Xu, Baodong1; Yang, Le1; Zhao, Jing1 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2015 |
| 卷号 | 12期号:2 |
| 关键词 | Land surface remote sensing spatial resolution surface structures surface texture vegetation |
| 通讯作者 | Yin, GF (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. |
| 英文摘要 | Spatial heterogeneity of land surface induces scaling bias in leaf area index (LAI) products. In optical remote sensing of vegetation, spatial heterogeneity arises both by textural and contextual effects. A case study made in the middle reach of the Heihe River Basin shows that the scaling bias in LAI retrieval is large up to 26% if the spatial heterogeneity within low-resolution pixels is ignored. To reduce the influence of spatial heterogeneity on LAI products, a correcting method combining both textural and contextual information is adopted, and the scaling bias may decrease to less than 2% in producing resolution-invariant LAI products. |
| 研究领域[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000341567600029 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38293]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Yin, Gaofei 2.Li, Jing 3.Liu, Qinhuo 4.Li, Longhui 5.Zeng, Yelu 6.Xu, Baodong 7.Zhao, Jing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 8.[Yin, Gaofei 9.Zeng, Yelu 10.Xu, Baodong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Gaofei,Li, Jing,Liu, Qinhuo,et al. Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(2). |
| APA | Yin, Gaofei.,Li, Jing.,Liu, Qinhuo.,Li, Longhui.,Zeng, Yelu.,...&Zhao, Jing.(2015).Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(2). |
| MLA | Yin, Gaofei,et al."Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.2(2015). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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