摘要：Large-scale carbon mapping is needed to support the UNFCCC program to reduce
deforestation and forest degradation (REDD). Managers of forested land can
potentially increase their carbon credits via detailed monitoring of forest cover, loss
and gain (hectares), and periodic estimates of changes in forest carbon density (tons ha−1). Satellites provide an opportunity to monitor changes in forest carbon caused by
deforestation and degradation, but only after initial carbon densities have been assessed.
New airborne approaches, especially light detection and ranging (LiDAR), provide a means
to estimate forest carbon density over large areas, which greatly assists in the
development of practical baselines. Here I present an integrated satellite–airborne
mapping approach that supports high-resolution carbon stock assessment and
monitoring in tropical forest regions. The approach yields a spatially resolved,
regional state-of-the-forest carbon baseline, followed by high-resolution monitoring of
forest cover and disturbance to estimate carbon emissions. Rapid advances and
decreasing costs in the satellite and airborne mapping sectors are already making
high-resolution carbon stock and emissions assessments viable anywhere in the world.
