Back to Search
Start Over
Forest biomass estimation using radar and lidar synergies
- Source :
- IGARSS
- Publication Year :
- 2013
- Publisher :
- IEEE, 2013.
-
Abstract
- This study investigates the improvement in above ground biomass estimates when using a synergistic model based on lidar derived forest structural information (i.e., canopy cover percentage) and radar backscatter. The results were cross-compared with a radar only model. A two-layered radar backscatter model was also tested. The results showed that lidar-based structural information has the potential to increase the accuracy of biomass estimation by up to 20% depending on polarization and acquisition date. A smaller improvement was observed when using a modeled estimate of the forest canopy cover as would be the case of a future lidar/radar joint space-borne mission. The two-layered vegetation backscatter model did not improve the biomass estimation accuracy with errors being higher when compared to a single-layer vegetation model.
Details
- Database :
- OpenAIRE
- Journal :
- 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
- Accession number :
- edsair.doi...........47419690d9da17ea66b63c0cff6273d9