International Journal of Ecology and Environmental Sciences
Development of narrow band index for accurate mapping of chlorophyll in senescent stage of teak (Tectona grandis L. f.) using Hyperion (EO1) data
Abstract
Abstract
Hyperspectral remote sensing sensors have shown a great promise towards the accurate estimation of chlorophyll content over a large spatial scale. However, most of the vegetation cover in tropics and subtropics attains maximum chlorophyll content in the monsoon season. The cloud coverage in this period of the year generates a major problem particularly with optical remote sensing data. Therefore, there is an extreme need to develop vegetation index using space borne reflectance spectra acquired from very low chlorophyll content samples (of senescent vegetation). In the present study an attempt has been made to develop accurate narrow band index for assessment of chlorophyll in senescent stage of teak (Tectona grandis L. f.) using Hyperion (EO1) data. Pearson’s correlation coefficient (PCC) was calculated to identify the correlation between measured chlorophyll and Hyperion reflectance spectra (spectral subset 436-1346 nm). Wavelength with highest positive correlation and wavelength with highest negative correlation were identified and selected for development of indices. SR 599/1134 gave the best results for prediction of chlorophyll in senescent teak vegetation cover with R2 of 0.68 for linear regression model and cross validation R2 0.67 and RMSE 0.15 g m-2.
Keywords
References
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