研究目的
To propose an indirect method for Mixed-Pixel Clumping Index (MPCI) validation and apply the method to validate MPCI in the arid and semi-arid areas in West China.
研究成果
The preliminary result demonstrated that the MPCI is reasonable and valid for LAI retrieval, showing significant improvement in correlation and reduction in RMSE after MPCI correction.
研究不足
The study acknowledges the difficulty in directly measuring the clumping index for mixed pixels due to their heterogeneity.
1:Experimental Design and Method Selection:
The study involved calculating the 1 km MPCI using 30 m HJ-1A/1B CCD data and validating it indirectly by comparing the retrieved true LAI with the MODIS LAI product.
2:Sample Selection and Data Sources:
Satellite data from HJ-1A/1B CCD, MODIS, AVHRR, and VIRR were used, focusing on the Heihe River Basin in Western China.
3:List of Experimental Equipment and Materials:
Satellite data from HJ-1A/1B CCD, MODIS, AVHRR, and VIRR.
4:Experimental Procedures and Operational Workflow:
The MPCI was calculated from fine-resolution data, and LAIeff was retrieved from coarse-resolution data using the PROSAIL model, then corrected to true LAI with MPCI.
5:Data Analysis Methods:
The comparison between the retrieved true LAI and MODIS LAI product was analyzed using correlation R2 and RMSE.
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