Carbon mapping breakthrough
The United Nations REDD initiative could create financial incentives to reduce carbon emissions from deforestation and degradation. However, this and similar carbon monitoring programs have been hindered by a lack of accurate, high-resolution methods to account for changes in the carbon stored in vegetation and lost through deforestation, selective logging, and other land-use disturbances. The new high-resolution mapping method will have a major impact on the implementation of REDD in tropical regions around the world.
The study covered over 16,600 square miles of the Peruvian Amazon — an area about the size of Switzerland. The researchers used a four-step process: They mapped vegetation types and disturbance by satellite; developed maps of 3-D vegetation structure using a LiDAR system (light detection and ranging) from the fixed-wing Carnegie Airborne Observatory; converted the structural data into carbon density using a small network of field plots on the ground; and integrated the satellite and LiDAR data for high-resolution maps of stored and emitted carbon. The scientists combined historical deforestation and degradation data with 2009 carbon stock information to calculate emissions from 1999-2009 for the Madre de Dios region.
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