SOURCE-LINKED INTELLIGENCE

Impact of tropical FIRE emissions on rainforest PRODuctivity

CORDIS · observation · Publication date unknown

he productivity of tropical rainforests using satellite remote sensing. To achieve this, I will map burned areas and fire emissions in the pan-tropical region using high-resolution satellite data and machine learning techniques. Subsequently, I will employ a transport model to determine the trajectories of fire particles in the atmosphere and estimate their deposition on the surface of tropical forests. Finally, I will analyse the impact of nutrient deposition on primary productivity and biomass of tropical rainforests using three satellite products: 1) leaf area index (obtained from optical data), 2) sun-induced fluorescence (emitted by plants during photosynthesis), and 3) vegetation optical depth (a radar-based indicator of vegetation biomass). To handle the substantial volume of satellite data (>100 terabytes), I will use a cloud-based platform with powerful computational capabilities. This processing will generate valuable geospatial datasets, including annual maps of burned areas, fire emissions, and nutrient deposition in the pan-tropical region, as well as trend maps depictin

Read original source ↗ Open in workspace

recordType

award

status

TERMINATED

region

EU

value

191760

unit

EUR