High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA

W Huang, K Dolan, A Swatantran… - Environmental …, 2019 - iopscience.iop.org
Accurate estimation of forest aboveground biomass at high-resolution continues to remain a
challenge and long-term goal for carbon monitoring and accounting systems. Here, we …

Estimation of forest canopy height and aboveground biomass from spaceborne LiDAR and Landsat imageries in Maryland

M Wang, R Sun, Z Xiao - Remote Sensing, 2018 - mdpi.com
Mapping the regional distribution of forest canopy height and aboveground biomass is
worthwhile and necessary for estimating the carbon stocks on Earth and assessing the …

Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA

W Huang, A Swatantran, K Johnson… - Carbon balance and …, 2015 - Springer
Background Continental-scale aboveground biomass maps are increasingly available, but
their estimates vary widely, particularly at high resolution. A comprehensive understanding …

Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system

KD Johnson, R Birdsey, AO Finley, A Swantaran… - Carbon Balance and …, 2014 - Springer
Abstract Background Forest Inventory and Analysis (FIA) data may be a valuable component
of a LIDAR-based carbon monitoring system, but integration of the two observation systems …

County-scale biomass map comparison: a case study for Sonoma, California

W Huang, A Swatantran, L Duncanson… - Carbon …, 2017 - Taylor & Francis
The amount of carbon stored in forests affects a wide range of regional-to global-scale
climate change processes. However, current maps often show large differences in carbon …

[HTML][HTML] Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system

R Riemann, C Wayson, R Dubayah, A Swantaran… - 2014 - oa.las.ac.cn
Background Forest Inventory and Analysis (FIA) data may be a valuable component of a
LIDAR-based carbon monitoring system, but integration of the two observation systems is …