Retrieving forest biomass through integration of CASI and LiDAR data
To increase understanding of forest carbon cycles and stocks, estimates of total and component (e.g. leaf, branch and trunk) biomass at a range of scales are desirable. Focusing on mixed species forests in central south-east Queensland, two different approaches to the retrieval of biomass from small footprint Light Detection and Ranging (LiDAR) and Compact Airborne Spectrographic Imager (CASI) hyperspectral data were developed and compared. In the first, stems were located using a LiDAR crown...[Show more]
|Collections||ANU Research Publications|
|Source:||International Journal of Remote Sensing|
|01_Lucas_Retrieving_forest_biomass_2008.pdf||997.42 kB||Adobe PDF||Request a copy|
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