Global scale environmental risks and scientific and technological development have increased demands on marine environment monitoring. Phytoplankton distribution is the most frequently used marker employed to assess biomass in marine environment. Analysis of chlorophyll-a plays a central role on phytoplankton studies once this pigment, present in every phytoplankton algae species, exhibits fluorescence in the red region of visible spectrum, thus allowing its detection by remote sensing techniques. A radar-laser based on fluorescence detection, usually called a LIF-LIDAR (Laser Induced Fluorescence - LIght Detection And Ranging), is a valuable tool for monitoring chlorophyll-a distribution in ocean waters, especially when green light lasers are employed. LIDAR-PUC was settled to function with its second harmonic Nd-YAG laser as excitation source. The equipment was adjusted for detection and spectral discrimination of inelastic emissions resulting from excitation at 532nm, with special attention to chlorophyll a fluorescence. In this study, algorithms were developed for the extraction of environmental parameters such as relative chlorophyll a concentration. These algorithms were analyzed regarding the following aspects: repeatability, linearity and applicability to the real world. Finally, ensembles were analyzed, pointing to their usefulness for effective marine environment monitoring.