The Prosopis sp. individuals known as carob trees are key species in the development of dry forest and recovery of degraded areas in the northern coast of Peru. The evaluation of plantations, calculation of aboveground forest biomass (AFB) and carbon stock represent an important role in forest management and climate change mitigation. This study evaluates monitoring methodologies using multispectral and LiDAR images coupled to a UAV, to validate them and generate models to estimate carbon stocks. Seven species of Prosopis sp. were evaluated with the conventional methodology and significant differences were found between species for dasometric characteristics and vegetation indices, as well as in the comparison with the data obtained with LiDAR. Models were selected to determine BAF and the association between the aerial carbon obtained with the models constituted by LiDAR data and vegeta...