Use Of Lidar Data In The Estimate Of Biophysical Variables In The Amazon, Under Different Spatial Resolutions

The Amazon Rainforest is known for its diversity and quantity of carbon stored in above-ground biomass (from English, Above-Ground Biomass-AGB), that attracts great interest in quantifying these natural resources. Due to the difficulties of measuring these data in the field, remote sensing offers the opportunity to quantify these parameters (biomass and carbon), quickly and with relatively low costs. However, the spatial resolution of these data can affect this estimate, as is the case with the resulting possible pixel sizes to be obtained with Light Detection and Ranging (LiDAR) data processing. In the present study, were used data from airborne scanner laser and forest inventory realized in the Jamari National Forest, located in Rondonia. From these data, AGB and Above-Ground Carbon (AGC) were obtained for seven different pixel sizes (10, 20, 30, 40, 50, 75 and 100 m) and evaluated for their effects on AGB and AGC estimates. There was no significant difference at the 95% probability level between AGB and AGC estimates. LiDAR data present great potential in obtaining parameters such as AGB and AGC in tropical forest, even in different spatial resolutions.