Our equatorial West African study area is one of the
cloudiest areas of the world, providing a challenge for satellite-based
monitoring of LCLUC. While several dense stack products were utilized,
a single novel image product we refer to as the spectral variability vegetation
index (SVVI) is used to discriminate Forest, Secondary Forest,
Savanna and Agriculture classes. This work is part of a larger study,
and image classification products developed and evaluated here have
been utilized to support analyses of population growth, migration, and
urbanization in relation to LCLUC in southern Ghana (Stow et al.,
2016; Weeks, Stow and An, submitted for publication; Weeks,
Vejraska and Stow, submitted for publication.