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20 January 2005 Relationships of spectral vegetation indices for continuity and compatibility of satellite data products
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Abstract
Cross calibration of data products among various satellite sensors has been paid much attention due to ever increasing needs of continuous environmental monitoring by past, current and future sensors. In this context, the studies on the relationships among spectral vegetation indices (VI) of different sensors will put more value on the existing long-term data records, e.g., by the NOAA-AVHRR series of sensors and LANDSAT-MSS, TM, and ETM+ sensors. This study will shade the light on the relationships among vegetation indices in the framework of VI cross calibrations over various optical sensors, including inter-VI relationships of different index formulations. The derivations of equations which describe VI relationships will be introduced based on the recently reported 'vegetation isoline' equations which relate two reflectances sampled at different wavelength regions. A general form of VI relationships will be introduced and then applied to specific cases of two VIs by assuming differences in spectral band-passes and differences in VI formulations to clarify influences of those differences on the inter-VI relationships. The derived expressions imply the necessity of cross calibration activities over various land cover types for the purpose of VI cross-calibrations, which may require major efforts involving both simulation and field activities.
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Hiroki Yoshioka, Tomoaki Miura, and Hirokazu Yamamoto "Relationships of spectral vegetation indices for continuity and compatibility of satellite data products", Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); https://doi.org/10.1117/12.578630
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