A Synthesis of How Multispectral Satellite Imagery Can Support Inventories of Greenhouse Gas Emissions from Tropical Forest Clearing and Regrowth
Tropical forests have far more species diversity than temperate or boreal forests, and their role in Earth's atmospheric greenhouse gas budgets is large. Multispectral satellite imagery, (remotely sensed imagery with discrete bands ranging from visible to shortwave infrared wavelengths) is the timeliest and most widely available imagery for inventories of greenhouse gas sinks and sources related to tropical forests. Such inventories are conducted for a United Nations programthat will compensate developing countries for Reducing greenhouse gas Emissions to the atmosphere from Deforestation or Degradation (known as REDD+), and for sustainably managing forests and their carbon stocks.
A Forest Service scientist and his colleagues summarized how multispectral imagery can help characterize tropical forest attributes related to forest carbon emissions, including forest type, age, structure, and disturbance type or intensity, and the storage, degradation and accumulation of carbon in tree biomass. They also reviewed how this imagery can reveal feedbacks between tropical forest degradation and climate and how to cloud-screen and gap-fill imagery. They reviewed how the spectral information inherent to multiyear image time series has high sensitivity to the age, height or biomass of forests and how the spectral and textural information in multispectral imagery of high spatial resolution can be used to estimate tropical forest biomass.
|Characterizing tropical forests with multispectral imagery||(publication)|
Forest Service Partners