Paul B. May

Precise and unbiased biomass estimation from GEDI data and the US Forest Inventory

Jamis M. Bruening, Paul B. May, John Armston et al. · Frontiers in Forests and Global Change · 2023 · 44 citations · Full text

Precision Agriculture, Engineering, Forest Biometrics +21

Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems

Adrián Pascual, Juan Guerra-Hernández, John Armston et al. · Forest Ecology and Management · 2023 · 41 citations

Engineering, Forest Inventory, Nasa ’ +9

A spatially varying model for small area estimates of biomass density across the contiguous United States

Paul B. May, Kelly S. McConville, Gretchen G. Moisen et al. · Remote Sensing of Environment · 2022 · 23 citations

Ecological Simulation, Ecological Modelling, Land Use +8

Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Neha Hunka, Laura Duncanson, John Armston et al. · Scientific Data · 2024 · 19 citations · Full text

Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models

Paul B. May, Michael Schlund, John Armston et al. · Remote Sensing of Environment · 2024 · 14 citations · Full text