Abstract
Maximum light use efficiency (ε max) is a key parameter for the estimation of net primary productivity (NPP) derived from remote sensing data. There are still many divergences about its value for each vegetation type. The ε max for some typical vegetation types in China is simulated using a modified least squares function based on NOAA/AVHRR remote sensing data and field-observed NPP data. The vegetation classification accuracy is introduced to the process. The sensitivity analysis of ε max to vegetation classification accuracy is also conducted. The results show that the simulated values of ε max are greater than the value used in CASA model, and less than the values simulated with BIOME-BGC model. This is consistent with some other studies. The relative error of ε max resulting from classification accuracy is −5.5%–8.0%. This indicates that the simulated values of ε max are reliable and stable.
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Zhu, W., Pan, Y., He, H. et al. Simulation of maximum light use efficiency for some typical vegetation types in China. CHINESE SCI BULL 51, 457–463 (2006). https://doi.org/10.1007/s11434-006-0457-1
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DOI: https://doi.org/10.1007/s11434-006-0457-1