Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages

• DOI: 10.3389/fpls.2017.00820
• Publication Date: 2017-05-22T03:51:35Z
• Authors: Mairaj Din; Wen Zheng; Muhammad Rashid; Shanqin Wang; Zhihua Shi
• Keywords: Enhanced vegetation index

Hyperspectral reflectance derived vegetation indices (VIs) are used for non-destructive leaf area index (LAI) monitoring precise and efficient N nutrition management. This study tested the hypothesis that there is potential using various hyperspectral VIs estimating LAI at different growth stages of rice under varying rates. crop canopy measurements were carried out over 2 years (2015 2016) in Meichuan, Hubei, China. Different fertilization, 0, 45, 82, 127, 165, 210, 247, 292 kg ha-1, applied to generate scales values. Regression models perform quantitative analyses between spectral measured phenological stages. In addition, coefficient determination RMSE employed evaluate these models. Among nine VIs, ratio index, normalized difference (NDVI), modified soil-adjusted (MSAVI), triangular (MTVI2) exhibited strong significant relationships with estimation The enhanced performed moderately. However, green blue confirmed early stages; optimized more related soil optical properties, which predicted be least accurate estimation. noise equivalent accounted sensitivity MSAVI, MTVI2, NDVI results note has a influence on management practices.