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In the past, liar was mainly used to study forest ecosystem flight time. So far, the ecological application of SLR is mainly to use one-dimensional index to characterize the canopy height. A new 3D analysis method of liar waveform is proposed. Many models developed before are scale dependent and need to be fitted and then applied with the same scale or pixel size. A method of scale invariant estimation of forest biomass based on liar data is proposed. Two equivalent biomass models were proposed: linear biomass model and linear biomass model. The development of sensors and algorithms is evaluated. The specific areas discussed include the selection of analysis units (grid units, segments or individual trees), canopy height model and point based analysis, the role of multiple benefits and benefit intensity, and the comparison of common algorithms. The results showed that the highest biomass of bark was 0.2645, the lowest biomass of above ground was 0.0267, and the biomass of branch was 0.021 higher than that of trunk.

Application of Liar Remote Sensing Forest Leaf Area Index Extraction Method Based on Big Data Network