Application of image analysis to improve object identification and inventory assessment by UAS
Ragu Chanthar, Pradeep Kumar
MetadataShow full item record
This project discusses the Geographic information system (GIS) analysis in calculating the woody debris volume in post harvest forest sites in B.F. Grant Forest. The estimation of the biomass volume of timber residues by traditional methods is time consuming and expensive. An unmanned aerial system (UAS) mounted with a small camera captures the images of four different plots in the B.F Grant Forest. A 3D model of each plot was developed using aerial images captured by the UAS camera. A new methodology for the calculation of the biomass volume from a 3D shape model of the woody debris is introduced in this project. It involves the development of two models: DEM (digital elevation model) and DSM (digital surface model). To validate the calculation, the wood was collected manually from the plots and the biomass volume of timber residues was calculated using line intersect sampling method.