Mapping of coral reefs provides information to support the conservation and monitoring of this vulnerable benthic habitat. Coral reef environment has a high level of complexity and spatial heterogeneity, however, typical maps derived using remote sensing data only includes classification of benthic communities. The study aims to update the status of coral reef classification through the advancement of remote sensing technology in the Philippines. This shows the coral community condition in the area. With the use of hyperspectral Compact Airborne Spectrographic Imager (CASI) and bathymetric LiDAR, data were acquired in Apo Reef, Province of Mindoro. Apo Reef is known as the second largest contiguous coral reef in the world. The image taken has a spatial resolution of 0.5 meters with spectral resolution of approximately 10nm between 385nm to 1047nm wavelength regions. Pre-processing of LiDAR data includes extraction of surface bottom and generating derivatives such as Digital Surface Model (DSM), Digital Terrain Model (DTM), rugosity, and slope. Data on spectral reflectance of coral reef types and other substrates, bathymetry, validation points and geotagged underwater video were gathered in situ simultaneous with the image acquisition. Derivative analysis is then applied to the field spectra to determine the wavelength bands for discriminating coral reef types. The optimal subset bands and LiDAR derivatives were used in classifying coral reef types using the supervised classification. Geotagged photos and sampling points were used to validate and assess the accuracy of the map.