Monitoring tropical forest carbon stocks and emissions using Planet satellite data.

ABSTRACT: Tropical forests are crucial for mitigating climate change, but many forests continue to be driven from carbon sinks to sources through human activities. To support more sustainable forest uses, we need to measure and monitor carbon stocks and emissions at high spatial and temporal resolution. We developed the first large-scale very high-resolution map of aboveground carbon stocks and emissions for the country of Peru by combining 6.7 million hectares of airborne LiDAR measurements of top-of-canopy height with thousands of Planet Dove satellite images into a random forest machine learning regression workflow, obtaining an R² of 0.70 and RMSE of 25.38 Mg C ha^-1 for the nationwide estimation of aboveground carbon density (ACD). The diverse ecosystems of Peru harbor 6.92

SUBMITTER: Csillik O 

PROVIDER: S-EPMC6882785 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature