Comparing the Performance of Broad-band and Narrow-band Vegetation Indices for Estimation of Grass LAI
Leaf area index (LAI) is one of the most important biophysical parameters of vegetation and other land surface crop.In order to explore the feasibility of vegetation indices to estimate LAI,With Gonger prairie of Kesiketeng flag of Chifeng City in Inner Mongolia autonomous region as study object,several common broad-band vegetation indices and narrow-band vegetation indices together with 4 kinds of regression models were chosen to build up LAI inversion models.The simulation precisions for different models were analyzed and evaluated through comparing the simulated LAI and measured LAI.The results showed that PVI and MSAVI,which took soil background and environment into account,performed better than traditional vegetation indices NDVI and RVI in grass LAI inversion.It also found that narrow-band vegetation indices showed obvious superiority compared with broad-band vegetation indices.The R2 and standard error of the model between PVI and LAI were separately 0.65 and 0.15,which indicated that there existed good consistency between measured LAI and simulated LAI.Finally,the map of grass LAI was produced using Hyperion data and PVI mode.
NETL
NSTL
万方数据
维普
