ABSTRACT
As we all known forest resource is one of the most important natural resources, which plays an more and more important role in the sustainable development of mankind. During the past years it dependent on the time-consuming and labor-intensive manual inventory methods, therefore forestry researchers are trying to find a more convenient method of investigation. Light Detection and Ranging (LiDAR) is an active remote sensing technology, which can determine the distance between the sensor and the target by emitting laser from sensors. It has been applied to forestry research in many fields. Early researches find that canopy closure is most strongly related to the penetration capability of the laser pulse, and indicates that the pulsed laser system may be used to remotely sense the vertical forest canopy profile and assess tree height. many work expose the enormous potential of laser applications in the forestry, which demonstrate that forest variables such as tree height, basal area, biomass, etc. can be estimated accurately using airborne laser scanner data (Nasset, 1997; Nelson, et al., 1997; Popescu, et al., 2002; Studies based on small footprint, high sampling density LiDAR data at individual tree level are reported later However, some studies show that the relationships between forest biophysical properties and airborne laser scanner data are different for the different geographical location, species composition, site quality, etc. In the case that remote sensing becoming more popular, the LiDAR technology has increasingly being used in the forestry as a new means of remote sensing. Explored the method of LAI retrieval based
on satellite borne LiDAR, and established the model Finally, Mapped LAI of the study area based on the model.
