1 March 2010 Spectral compatibility of vegetation indices across sensors: band decomposition analysis with Hyperion data
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Abstract
Vegetation indices (VIs) are widely used in long-term measurement studies of vegetation changes, including seasonal vegetation activity and interannual vegetation-climate interactions. There is much interest in developing cross-sensor/multi-mission vegetation products that can be extended to future sensors while maintaining continuity with present and past sensors. In this study we investigated multi-sensor spectral bandpass dependencies of the enhanced vegetation index (EVI), a 2-band EVI (EVI2), and the normalized difference vegetation index (NDVI) using spectrally convolved Earth Observing-1 (EO-1) Hyperion satellite images acquired over a range of vegetation conditions. Two types of analysis were carried out, including (1) empirical relationships among sensor reflectances and VIs and (2) decomposition of bandpass contributions to observed cross-sensor VI differences. VI differences were a function of cross-sensor bandpass disparities and the integrative manner in which bandpass differences in red, near-infrared (NIR), and blue reflectances combined to influence a VI. Disparities in blue bandpasses were the primary cause of EVI differences between the Moderate Resolution Imaging Spectroradiometer (MODIS) and other course resolution sensors, including the upcoming Visible Infrared Imager / Radiometer Suite (VIIRS). The highest compatibility was between VIIRS and MODIS EVI2 while AVHRR NDVI and EVI2 were the least compatible to MODIS.
Youngwook Kim, Alfredo R. Huete, Tomoaki Miura, and Zhangyan Jiang "Spectral compatibility of vegetation indices across sensors: band decomposition analysis with Hyperion data," Journal of Applied Remote Sensing 4(1), 043520 (1 March 2010). https://doi.org/10.1117/1.3400635
Published: 1 March 2010
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Cited by 64 scholarly publications.
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KEYWORDS
MODIS

Sensors

Near infrared

Vegetation

Reflectivity

Atmospheric modeling

Satellites

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