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Multi-scale MSDT inversion based on LAI spatial knowledge



Zhu XH, Feng XM, Zhao YS. Multi-scale MSDT inversion based on LAI spatial knowledge. Science China Earth Sciences, 2012, 55(8): 1297-1305.
Literature information
Type Of Reference JOUR
Title Multi-scale MSDT inversion based on LAI spatial knowledge
Authors Zhu, Xiaohua| Feng, Xiaoming| Zhao, Yingshi|
Secondary Title Science China Earth Sciences
Abstract 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.
Date 2012/08/01/
Year 2012
DOI 10.1007/s11430-011-4312-0
Database Provider link.springer.com
volume 55
Issue Number 8
Start Page 1297
Alternate Title1 Sci. China Earth Sci.
Language en
Issn 1674-7313, 1869-1897
Url http://link.springer.com/article/10.1007/s11430-011-4312-0
Access Date 2013/09/28/08:37:26
Keywords Earth Sciences, general| ill-posed inversion| MSDT| multi-scale| prior knowledge|
file_attachments2 http://link.springer.com/article/10.1007/s11430-011-4312-0
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