Abstract：Vegetation index (VI) saturation directly affects the accuracy of remote sensing estimation of vegetation parameters.Based on DART model， the response of Suaeda salsa community vegetation index to LAI was quantitatively analyzed， and the saturation of different vegetation indices was discussed. The results are shown as follows. 1) There was a significant linear correlation between LAI and plant number with R2 of 0.99 and RMSE of 0.008. 2) TSAVI had the best anti-saturation ability， followed by NDVI and RVI.The anti-saturation ablilities of EVI and SAVI are moderate， and those of PVI， MVI and MSAVI are the worst. 3) When LAI〈0.68， SRVI〉SNDVI〉STSAVI； when 0.68≤LAI〈2， SNDVI〉SRVI 〉STSAVI； and when LAI ≥ 2， TSAVI is the best， RVI and NDVI are saturated. EVI and SAVI are generally sensitive to LAI and the sensitivity of the remaining three vegetation indexes to LAI is weak.For Suaeda salsa， a typical vegetation in the Liaohekou Coastal Wetland， preliminary analysis combined with the measured LAI suggests that TSAVI， NDVI and RVI have good accuracy in estimating Suaeda salsa LAI， and are able to distinguish Suaeda salsa communities under different LAI.
2021, Vol. 55 
