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Keyword: forest biomass

Statistical properties of hybrid estimators proposed for GEDI - NASA’s global ecosystem dynamics investigation

Publications Posted on: August 06, 2019
NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission will collect waveform lidar data at a dense sample of ~25 m footprints along ground tracks paralleling the orbit of the International Space Station (ISS). GEDI’s primary science deliverable will be a 1 km grid of estimated mean aboveground biomass density (Mg ha-1), covering the latitudes overflown by ISS (51.6 ° S to 51.6 ° N).

Global importance of large-diameter trees

Publications Posted on: August 20, 2018
We examined the contribution of large trees to forest density, richness and biomass using a global network of 48 large (from 2 to 60 ha) forest plots representing 5,601,473 stems across 9,298 species and 210 plant families.

Examining the social acceptability of forest biomass harvesting and utilization from collaborative forest landscape restoration: A case study from western Colorado, USA

Publications Posted on: January 10, 2018
Collaborative efforts have expanded in recent years to reduce fuel loads and restore the resilience of forest landscapes to future fires. The social acceptability of harvesting and using forest biomass associated with these programs are a hot topic, with questions about the extent to which collaboration can generate unified acceptance.

ThinTool: a spreadsheet model to evaluate fuel reduction thinning cost, net energy output, and nutrient impacts

Publications Posted on: October 06, 2017
We developed a spreadsheet-based model, named ThinTool, to evaluate the cost of mechanical fuel reduction thinning including biomass removal, to predict net energy output, and to assess nutrient impacts from thinning treatments in northern California and southern Oregon.

Integrating sustainable biofuels and byproducts into forest industry supply chains

Publications Posted on: December 13, 2016
Forest biomass is a promising feedstock for the production of bioenergy, biofuels, and bioproducts because it is renewable and widely available as a byproduct of forest management. Its harvest and use also has the potential to positively impact rural communities, especially those negatively impacted by upheaval in the forest sector.

Shape selection in Landsat time series

Media Gallery Posted on: September 15, 2016
The tree canopy patterns in these time series Landsat map images, taken over a section of the central Rocky Mountains near Steamboat Springs, Colorado, provide information about canopy lost to disturbance events.

Shape selection in Landsat time series

Science Spotlights Posted on: September 01, 2016
There is new methodology for fitting ecologically feasible “shapes” to time series of Landsat imagery for modeling, mapping, and monitoring annual forest disturbance dynamics. Through a case study of fire, harvest and bark beetle outbreak, scientists illustrate how resultant fitted values and parameters can be fed into empirical models to map disturbance causal agent and tree canopy cover changes coincident with disturbance events through time.

Spatial and temporal quantification of forest residue volumes and delivered costs

Publications Posted on: May 23, 2016
Growing demand for bioenergy, biofuels, and bioproducts has increased interests in the utilization of biomass residues from forest treatments as feedstock. In areas with limited history of industrial biomass utilization, uncertainties in the quantity, distribution, and cost of biomass production and logistics can hinder the development of new bio-based industries.

LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients

Publications Posted on: October 28, 2015
Many studies and production inventory systems have shown the utility of coupling covariates derived from Light Detection and Ranging (LiDAR) data with forest variables measured on georeferenced inventory plots through regression models.

Preliminary results of the global forest biomass survey

Publications Posted on: August 18, 2015
Many countries do not yet have well-established national forest inventories, and among those that do, significant methodological differences exist, particularly in the estimation of standing forest biomass. Global space-based LiDAR (Light Detection and Ranging) from NASA’s now-completed ICESat mission provided consistent, high-quality measures of canopy height and density.

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