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The biophysical and biochemical spectral responses in the form of red-edge position (REP) and narrowband indices for carbon stock mapping have been evaluated in this study using AVIRIS-NG data in Sholayar reserve forest, Kerala. Maximum first-derivative spectrum, linear four-point interpolation technique, and adjusted linear-extrapolation techniques were employed for REP estimation. Results exhibited a maximum peak of REP at 717 nm and two extreme dips at 677 nm and 772 nm. Regression analysis between field-based AGB with REP (R 2  = 0.6537) and narrowband indices; EVI, ARVI, VRI, and RNDVI was adopted exhibiting significant correlations (R 2 =0.5100, R 2 =0.5106, R 2 =0.5220, and R 2 =0.5507, respectively) (P-value &lt; 0.001). Results show that dry-deciduous plantations (mainly  Tectona grandis ) have the lowest AGB values of 25-100tons/hectare, whereas, Wet-evergreen forest exhibited the highest values (300-350tons/hectare). Correlation between plot-level AGB and predicted AGB being 0.7065. Conclusively, the retrieval of structural measures like biomass can be achieved through these methods using AVIRIS-NG data.

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Airborne hyperspectral AVIRIS-NG data for vegetation carbon stock mapping based on red edge position parameter and narrowband vegetation indices in Sholayar reserve forest, Kerala