Abstract:
:We developed algorithms for spatial scaling of leaf area index (LAI) using sub-pixel information. The study area is located near Liping County, Guizhou Province, in China. Methods for LAI spatial scaling were investigated on LAI images with 960 m resolution derived in two ways. LAI from distributed calculation (LAID) was derived using Landsat ETM+ data (30 m), and LAI from lumped calculation (LAIL) was obtained from the coarse (960 m) resolution data derived through resampling the ETM+ data. We found that lumped calculations can be considerably biased compared to the distributed (ETM+) case, suggesting that global and regional LAI maps can be biased if surface heterogeneity within the mapping resolution is ignored. Based on these results, we developed algorithms for removing the biases in lumped LAI maps using sub-pixel land cover-type information, and applied these to correct one coarse resolution LAI product which greatly improved its accuracy.
journal_name
J Environ Managejournal_title
Journal of environmental managementauthors
Jin Z,Tian Q,Chen JM,Chen Mdoi
10.1016/j.jenvman.2006.08.016subject
Has Abstractpub_date
2007-11-01 00:00:00pages
628-37issue
3eissn
0301-4797issn
1095-8630pii
S0301-4797(06)00278-7journal_volume
85pub_type
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