DUAL-POLARIMETRIC DECOMPOSITION OF SENTINEL-1 SAR IMAGE AND MACHINE LEARNING MODEL FOR OIL SPILL DETECTION: CASE OF MINDORO OIL SPILL

DUAL-POLARIMETRIC DECOMPOSITION OF SENTINEL-1 SAR IMAGE AND MACHINE LEARNING MODEL FOR OIL SPILL DETECTION: CASE OF MINDORO OIL SPILL

Oil spills represent a significant environmental hazard necessitating timely detection to mitigate their detrimental effects.Synthetic Aperture Radar (SAR) technology serves as a remote sensing (RS)-based tool capable of detecting oil spills under varying weather conditions and at all times of day.SAR polarimetry, which assesses the polarization of

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Synthesis and biological activity of acetates of copper (II) and iron (III) for the control of Aedes aegypti (Diptera: Culicidae)

This work aimed to the synthesis of basic acetates Sailor Moon of Cu (II) and Fe(III) against larvae of Aedes aegypti and Gram negative and Gram positive.The transition metal ions Cu (II) and Fe (III) have bactericidal activity and are toxic to Aedes aegypti larvae in the eggs and larval stages of initial, precludes the eggs hatch and slow reproduc

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