PROJECT TITLE :

Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation

ABSTRACT:

In recent years, the impact of chlorophyll content on the estimation of the fraction of absorbed photosynthetically active radiation (FPAR) has attracted increased attention. During this study, chlorophyll-related vegetation indices (VIs) were selected and tested for their capability in crop FPAR estimation using simulated Sentinel-a pair of knowledge. These indices can be categorized into four classes: 1) the ratio indices; a pair of) the normalized distinction indices; 3) the triangular area-based indices; and four) the integrated indices. Two crops, wheat and corn, with distinctive cover and leaf structure were studied. Measured FPAR and Sentinel-2 reflectance simulated from field spectral measurements were used. The results showed that VIs using the nearinfrared and red-edge reflectance, including the changed Straightforward Ratio-a pair of (mSR2), the red-edge Simple Ratio (SR705), the RedEdge Normalized Distinction Vegetation Index (ND705), MERIS Terrestrial Chlorophyll Index (MTCI), and also the Revised Optimized Soil-Adjusted Vegetation Index (OSAVI[705, 750]), had a sturdy linear correlation with FPAR, especially in the high biomass range. When the red-edge reflectance was used, the ratio indices (e.g., mSR2 and SR705) had a stronger correlation with crop FPAR than the normalized distinction indices (e.g., ND705). Sensitivity analysis showed that mSR2 had the strongest linear correlation with FPAR of the two crops across a growing season. More analysis indicated that indices using the red-edge reflectance would possibly be useful for developing FPAR retrieval algorithms that are freelance of crop sorts. This suggests the potential for high resolution and high-quality mapping of FPAR for precision farming using the Sentinel-2 data.