DTM error minimization via adaptive smoothing [LIDAR forest measurements]
Airborne light detection and ranging (LIDAR) is emerging as a tool to provide accurate digital terrain models (DTMs) of forest areas since it can measure bare earth beneath the canopy. In an attempt to minimize the error in generating DTMs, an adaptive smoothing technique is presented. The results indicate that DTM error can be minimized through the adaptive process.