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Endmember spectra recovered from sub-meter resolution data [e.g., Quick Bird visible and near infra-red (NIR) 0.61m wavebands ratio] of an arthropod-related infectious disease aquatic larval habitat can act as a dependent variable within a least squares estimation algorithm. By so doing, seasonal endemic transmission -oriented risk variables can be accurately interpolated.
Citation:
https://www.omicsgroup.org/journals/unbiasing-a-stochastic-endmember-interpolator-using-envi-object-based-classifiers-and-boolean-statistics-for-forecasting-canopied-simulium-larval-habitats-in-burkina-faso-2169-0049.1000109.php?aid=18988
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