Quantification of ecosystem services is one of the most difficult tasks in past studies. Two dimensional high resolution images have been available and utilized for detection of forested area as carbon storage, watershed management and governance, and conservation of endangered species. However, those images can capture only area and not volume or structural information of trees. Three dimensional remote sensing, therefore, has been introduced to detect the volume of forested area. In this study, tree volume was quantified using laser data named LiDAR (Light Detection and Ranging). To acquire LiDAR data, laser is emitted from a terrestrial sensor or a sensor mounted on an airborne vehicle. Resulting data consists of millions of point distribution representing structure of objects but point data itself does not provide any parameter of trees. Therefore, wrapped surface was created and fitted over the point data of a single tree to quantify exact physical parameter such as crown volume. Possible study areas where crown volume could be utilized include bird habitat analysis, light attenuation, and tree growth strategy of branches. This presentation is aimed to explain analysis using laser data and review past studies related to laser remote sensing. Laser remote sensing is able to clarify unknown parameters obtained from conventional two dimensional data.