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Keyword: random forests

Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006

Publications Posted on: December 28, 2011
Fire is a keystone process in many ecosystems of western North America. Severe fires kill and consume large amounts of above- and belowground biomass and affect soils, resulting in long-lasting consequences for vegetation, aquatic ecosystem productivity and diversity, and other ecosystem properties.

Consistency of forest presence and biomass predictions modeled across overlapping spatial and temporal extents

Publications Posted on: September 20, 2011
We assessed the consistency across space and time of spatially explicit models of forest presence and biomass in southern Missouri, USA, for adjacent, partially overlapping satellite image Path/Rows, and for coincident satellite images from the same Path/Row acquired in different years.

Evaluating the remote sensing and inventory-based estimation of biomass in the western Carpathians

Publications Posted on: July 18, 2011
Understanding the potential of forest ecosystems as global carbon sinks requires a thorough knowledge of forest carbon dynamics, including both sequestration and fluxes among multiple pools. The accurate quantification of biomass is important to better understand forest productivity and carbon cycling dynamics.

Ecological importance of intermediate windstorms rivals large, infrequent disturbances in the northern Great Lakes

Publications Posted on: April 07, 2011
Exogenous disturbances are critical agents of change in temperate forests capable of damaging trees and influencing forest structure, composition, demography, and ecosystem processes. Forest disturbances of intermediate magnitude and intensity receive relatively sparse attention, particularly at landscape scales, despite influencing most forests at least once per generation.

Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

Publications Posted on: March 03, 2010
Spatially and temporally explicit knowledge of biomass dynamics at broad scales is critical to understanding how forest disturbance and regrowth processes influence carbon dynamics.

Gradient modeling of conifer species using random forests

Publications Posted on: November 25, 2009
Landscape ecology often adopts a patch mosaic model of ecological patterns. However, many ecological attributes are inherently continuous and classification of species composition into vegetation communities and discrete patches provides an overly simplistic view of the landscape.

Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA

Publications Posted on: April 10, 2009
Quantifying forest structure is important for sustainable forest management, as it relates to a wide variety of ecosystem processes and services. Lidar data have proven particularly useful for measuring or estimating a suite of forest structural attributes such as canopy height, basal area, and LAI. However, the potential of this technology to characterize forest succession remains largely untested.

Quantifying the abundance of co-occurring conifers along Inland Northwest (USA) climate gradients

Publications Posted on: August 13, 2008
The occurrence and abundance of conifers along climate gradients in the Inland Northwest (USA) was assessed using data from 5082 field plots, 81% of which were forested.

yaImpute: An R package for kNN imputation

Publications Posted on: February 05, 2008
This article introduces yaImpute, an R package for nearest neighbor search and imputation. Although nearest neighbor imputation is used in a host of disciplines, the methods implemented in the yaImpute package are tailored to imputation-based forest attribute estimation and mapping.