中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-scale MSDT inversion based on LAI spatial knowledge

文献类型:期刊论文

作者Zhu XiaoHua ; Feng XiaoMing ; Zhao YingShi
刊名SCIENCE CHINA-EARTH SCIENCES
出版日期2012
卷号55期号:8页码:1297-1305
关键词ill-posed inversion prior knowledge MSDT multi-scale
ISSN号1674-7313
中文摘要Quantitative remote sensing inversion is ill-posed. The Moderate Resolution Imaging Spectroradiometer at 250 m resolution (MODIS_250m) contains two bands. To deal with this ill-posed inversion of MODIS_250m data, we propose a framework, the Multi-scale, Multi-stage, Sample-direction Dependent, Target-decisions (Multi-scale MSDT) inversion method, based on spatial knowledge. First, MODIS images (1 km, 500 m, 250 m) are used to extract multi-scale spatial knowledge. The inversion accuracy of MODIS_1km data is improved by reducing the impact of spatial heterogeneity. Then, coarse-scale inversion is taken as prior knowledge for the fine scale, again by inversion. The prior knowledge is updated after each inversion step. At each scale, MODIS_1km to MODIS_250m, the inversion is directed by the Uncertainty and Sensitivity Matrix (USM), and the most uncertain parameters are inversed by the most sensitive data. All remote sensing data are involved in the inversion, during which multi-scale spatial knowledge is introduced, to reduce the impact of spatial heterogeneity. The USM analysis is used to implement a reasonable allocation of limited remote sensing data in the model space. In the entire multi-scale inversion process, field data, spatial knowledge and multi-scale remote sensing data are all involved. As the multi-scale, multi-stage inversion is gradually refined, initial expectations of parameters become more reasonable and their uncertainty range is effectively reduced, so that the inversion becomes increasingly targeted. Finally, the method is tested by retrieving the Leaf Area Index (LAI) of the crop canopy in the Heihe River Basin. The results show that the proposed method is reliable.
WOS记录号WOS:000307255500010
公开日期2014-11-05
源URL[http://ir.rcees.ac.cn/handle/311016/7885]  
专题生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式
GB/T 7714
Zhu XiaoHua,Feng XiaoMing,Zhao YingShi. Multi-scale MSDT inversion based on LAI spatial knowledge[J]. SCIENCE CHINA-EARTH SCIENCES,2012,55(8):1297-1305.
APA Zhu XiaoHua,Feng XiaoMing,&Zhao YingShi.(2012).Multi-scale MSDT inversion based on LAI spatial knowledge.SCIENCE CHINA-EARTH SCIENCES,55(8),1297-1305.
MLA Zhu XiaoHua,et al."Multi-scale MSDT inversion based on LAI spatial knowledge".SCIENCE CHINA-EARTH SCIENCES 55.8(2012):1297-1305.

入库方式: OAI收割

来源:生态环境研究中心

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