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Remote sensing of submerged vegetation canopies for biomass estimation
Armstrong, R.A. (1993). Remote sensing of submerged vegetation canopies for biomass estimation. Int. J. Remote Sens. 14(3): 621-627. https://dx.doi.org/10.1080/01431169308904363
In: International Journal of Remote Sensing. Taylor & Francis: London. ISSN 0143-1161; e-ISSN 1366-5901, more
Peer reviewed article  

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Keyword
    Marine/Coastal

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  • Armstrong, R.A.

Abstract
    The visible bands of the Landsat Thematic Mapper (TM) sensor were used in an empirical assessment of seagrass biomass on shallow banks near Lee Stocking Island in the Bahamas. The TM bands were transformed to minimize the depth-dependent variance in the bottom reflectance signal. Regression analyses were performed between the transformed bands and field measurements of seagrass standing crop (above-ground biomass). Regression equations using spectral data accounted for up to 80 per cent of the variability in seagrass biomass. The unexplained variance was ascribed to variations in bottom sediment colour.

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