Abstract:
Coral reefs are among the most diverse ecosystems on the earth, but most of the world
reefs are highly susceptible to degradation due to anthropogenic activities and climate
change. Coral reef benthic communities are mosaic of several bottom types that are
distinguishable by their optical spectral reflectance characteristic allows effective
identification and mapping using the technologies of remote sensing. Therefore, in-
situ radiometric measurement play an important role in bridging the gap between field
and remotely sensed data in the improving the accuracy of remote sensing. Briefly,
this study is aimed to determine the in-situ benthic hyperspectral reflectance and then examine their characteristic and separability. Additionally to evaluate the performance
of density slice and maximum likelihood algorithm for coral reef classification and
developed a baseline map.
