首页|Red Edge Index as an Indicator of Vegetation Growth and Vigor Using Hyperspectral Remote Sensing Data
Red Edge Index as an Indicator of Vegetation Growth and Vigor Using Hyperspectral Remote Sensing Data
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NSTL
Natl Acad Sciences India
Nitrogen (N) is a major constituent element of chlorophyll and thylakoid proteins in the plant canopy. The amount of foliar nitrogen reflects the growth of vegetation as it affects the photosynthetic process and the interaction of electromagnetic radiation with canopy. Non-destructive approach using space-borne hyperspectral remote sensing has shown potential in estimating the nitrogen content in leaves. This study used hyperspectral image from Hyperion sensor to indicate the strand growth and vigor of Shorea robusta (Sal) forest in Doon Valley by estimating foliar nitrogen. Identification of sampling sites was done in a Sal forest patch of area (270 ha) using crown closure information based on LAI measurement. High spatial resolution satellite data, RapidEye was used for LAI mapping using ground truth data. Leaf spectra using field spectroradiometer, as well as leaf samples were collected from each sample site. The different red edge indices derived from Hyperion data were correlated against laboratory analyzed leaf nitrogen mass. Amongst these indices, Modified Normalized Difference Red Edge (MNDRE) index showed highest correlation coefficient (r = 0.89) with nitrogen mass. For generating spatial nitrogen mass map, regression equation was developed based on MNDRE index. Predicting potential of satellite based MNDRE was validated from field based spectra, as showed r = 0.91. Spatially depicted nitrogen information using hyperspectral satellite image, is one of the first demonstration of the work carried out in the tropical species of Himalaya. Spatial N distribution map has potential to be used in predicting carbon sequestration potential and disturbances caused due to pest-insect infestation, anthropogenic pressure and site degradation.
NSTL
Natl Acad Sciences India
