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Ocean wave energy is one of the ORE (Ocean Renewable Energies) sources, whichpotential, in which this energy has several advantages over fossil energy and being one of the most researchedenergy in developed countries nowadays. One of the efforts for mapping ORE potential is by computing energy potentialgenerated from ocean wave, symbolized by Watt per area unit using various methods of observation. SAR (Synthetic ApertureRadar) is one of the hyped and most developed Remote Sensing method used to monitor and map the ocean wave energypotential effectively and fast. SAR imagery processing can be accomplished not only in remote sensing data applications, butusing Matrices processing application as well such as MATLAB that utilizing Fast Fourier Transform and Band-PassFiltering methods undergoing Pre-Processing stage. In this research, the processing and energy estimation from ALOSPALSARsatellite imagery acquired on the 5/12/2009 was accomplished using 2 methods (i.e Magnitude and Wavelength).This resulted in 9 potential locations of ocean wave energy between 0-228 W/m2, and 7 potential locations with ranged valuebetween 182-1317 W/m2. After getting through buffering process with value of 2 km (to facilitate the construction of powerplant installation), 9 sites of location were estimated to be the most potential location of ocean wave energy generation in theocean with average depth of 8.058 m and annual wind speed of 6.553 knot

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

OCEAN WAVE ENERGY ESTIMATION USING ACTIVE SATELLITE IMAGERY AS A SOLUTION OF ENERGY SCARCE IN INDONESIA CASE STUDY: POTERAN ISLAND’S WATER, MADURA