VALIDATION OF REMOTE SENSORS FOR BENTHIC HABITAT STUDIESIN SOUTHWESTERN PUERTO RICO*

摘要

Different remote sensing techniques were employed to study benthic habitats inLa Parguera, Puerto Rico. These include the comparison of two sensors withdifferent spatial and spectral resolution, IKONOS (1 m, 4 bands) and Hyperion(30 m, 220 bands). Image processing of IKONOS included atmospheric, sun glint,water column corrections, and supervised classifications for the characterizationof sea grass, sand and coral. Hyperion data analysis included destriping,atmospheric correction, sun glint correction and classifications. Field datacollection was performed by the establishment of three transects with tenquadrants for each habitat class. The benthic composition from transects werecompared with those generated by the image classifications. Field validationshows the potential of the techniques used, but demonstrates that these processingmethods require improvement. Preliminary analyses show that the mostappropriate remote sensing technique for benthic habitat classification is mergingthe data of these two sensors.