Sentence examples for green lai from inspiring English sources

Measurement of spectral reflectance offers a fast and nondestructive estimation of green LAI.

Visible atmospherically resistant vegetation index showed the highest accuracy in the estimation of the green LAI of maize.

In both crops, PRI was very closely related to green LAI (R2 > 0.90) and stand chlorophyll (Chl) content (R2 > 0.93).

A number of methods have been used for the estimation of green LAI; however, the specific spectral bands employed varied widely among the methods and data used.

As the CIRed-edge also exhibited low sensitivity to soil background effects, it constitutes a simple, yet robust tool for the remote and synoptic estimation of Green LAI.

However, the CIRed-edge was the only index insensitive to crop type and produced the most accurate estimations of Green LAI in both crops (RMSE = 0.577 m2/m2).

In the present work, PROSPECT and SAILH models have been used to simulate a wide range of crop canopy reflectances in an attempt to study the sensitivity of a set of vegetation indices to green leaf area index (LAI), and to modify some of them in order to enhance their responsivity to LAI variations.

Green leaf area index (LAI) provides insight into the productivity, physiological and phenological status of vegetation.

The MISR standard products include green leaf area index (LAI) of vegetation and fraction of photosynthetically active radiation absorbed by vegetation (FPAR).

The prediction power of these indices with respect to green leaf area index (LAI) and canopy chlorophyll density (CCD) was compared, and their sensitivity to canopy architecture, illumination geometry, soil background reflectance, and atmospheric conditions were analyzed.

The present study explores the benefits of combining vegetation index and physically based approaches for the spatial and temporal mapping of green leaf area index (LAI), total chlorophyll content (TCab), and total vegetation water content (VWC).