Beskydy 2015, 8, 35-46
Aboveground biomass estimation with airborne hyperspectral and LiDAR data in Tesinske Beskydy Mountains
The study presents three models for estimation of forest aboveground biomass (AGB) for plot level using different categories of airborne data. The first and the second models estimate AGB from metrics of airborne LiDAR data. The third model estimates AGB from integration of metrics of airborne hyperspectral and LiDAR data. The results are compared with plot level biomass estimated from field measurements. The results show that the best AGB estimate is obtained from the model utilizing a fusion of hyperspectral and LiDAR metrics. Study results expand existing research on the applicability of airborne hyperspectral and LiDAR datasets for AGB assessment. It evidences the efficiency of using a predicting model based on hyperspectral and LiDAR data for study area.
Funding
This research was supported by a postdoc project in technical and economic disciplines at Mendel University in Brno (reg. no. CZ.1.07/2. 3. 00/30.0031), by the Ministry of Education, Youth and Sports of CR within the National Sustainability Program I (NPU I) (grant number LO1415) and COST project No. OCO9001.
