A5058680235- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Forest Management and Policy
- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Forest Ecology and Biodiversity Studies
- Ecology and Vegetation Dynamics Studies
- Bayesian Methods and Mixture Models
- Fire effects on ecosystems
- Economic and Environmental Valuation
- Plant Water Relations and Carbon Dynamics
- Census and Population Estimation
- Genetic and phenotypic traits in livestock
- Statistical Methods and Bayesian Inference
- Forest Biomass Utilization and Management
- Survey Sampling and Estimation Techniques
- Forest Insect Ecology and Management
- Advanced Statistical Methods and Models
- Rangeland and Wildlife Management
- Species Distribution and Climate Change
- Seedling growth and survival studies
- Land Use and Ecosystem Services
- Tree Root and Stability Studies
- Horticultural and Viticultural Research
- Spatial and Panel Data Analysis
Canadian Forest Service
2012-2021
Natural Resources Canada
2012-2021
Northern Research Station
2010
French Institute of Pondicherry
2006
Canadian Sport Centre Pacific
2000-2003
Champlain College
2000
Global Affairs Canada
1998-1999
University of Delaware
1999
GTx (United States)
1998
Canadian Nuclear Laboratories
1990-1993
The distribution of canopy heights obtained with an airborne laser scanner over a field trial Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) was function the vertical foliage area. Over wide range structures, proportion pulses returned from or above given reference height proportional to fraction leaf area it. We hypothesized that quantile matching in probability desired would be unbiased estimator same. This confirmed 36 (20 × 20 m) plots and 6 older validation plots. Canopy-based...
Canada’s National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On other hand, continuous maps of forest attributes are required strategic analyses regional policy and management issues. We have therefore produced covering 4.03 × 10 6 km 2 inventoried area for 2001 base year using standardised observations from NFI photo plots (PP) as reference data. used k nearest neighbours (kNN) method with 26 geospatial data layers including...
Abstract Airborne laser scanner data collected over forests provide a canopy height. To obtain tree heights from airborne one needs recovery model. Two such models, (A) assuming that observations are sampled with probability proportional to displayed crown area, and the other (B) derived beam penetrates given depth, were developed applied obtained stands of Douglas-fir. Model estimates recovered arithmetic mean quantiles (75%, 85%, 95%) not significantly (P> 0.24) different...
This paper focuses on the use of models for increasing precision estimators in large-area forest surveys. It is motivated by availability remotely sensed data, which facilitates development predicting variables interest We present, review and compare three different estimation frameworks where play a core role: model-assisted, model-based, hybrid estimation. The first two are well known, whereas third has only recently been introduced Hybrid inference mixes design-based model-based...
Land cover classification over large geographic areas using remotely sensed data is increasingly common as a result of the requirements national inventory and monitoring programmes, scientific modelling international environmental treaties. Although large‐area land products are more prevalent, standard operational protocols for their validation do not exist. This paper provides framework accuracy assessment synthesizes some key decision points in design implementation an from literature. The...
Forest inventory data often provide the required base to enable largearea mapping of biomass over a range scales. However, spatially explicit estimates ofabove-ground (AGB) large areas may be limited by spatial extent theforest relative area interest (i.e., inventories not exhaustive), orby omission attributes for estimation. These andattributional gaps in forest result an underestimation areaAGB. The continuous nature and synoptic coverage remotely sensed have led totheir increased...
The distribution of canopy heights obtained with an airborne laser scanner over a field trial Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) was function the vertical foliage area. Over wide range structures, proportion pulses returned from or above given reference height proportional to fraction leaf area it. We hypothesized that quantile matching in probability desired would be unbiased estimator same. This confirmed 36 (20 × 20 m) plots and 6 older validation plots. Canopy-based...
In the context of Landsat TM images forest stands are a cluster homogeneous pixels. Contextual classification cover types exploits relationships between neighbouring pixels in pursuit an increase accuracy. Results with six contextual classifiers from two sites Canada were compared to results maximum likelihood (ML) classifier. The comparisons done at three levels spectral class separation. Training and validation data obtained single-stage sampling 2 km×2 km primary units (PSU) located on 20...
A framework for analysis of even-aged plant monocultures was developed and used to examine hypotheses on the process competition, using data obtained from three independently established red pine (Pinusresinosa Ait.) stand-density experiments. Growth rate relative production (a measure tree vigour) were computed individual trees in stands differing density at points time when these had same mean stem volume. Competition is shown be both asymmetric (small lose vigour more rapidly than large...
Daily records of the location and timing human- lightning-caused fires in British Columbia from 1981 to 2000 were used estimate probability fire occurrence within 950 20 × 20-km spatial units (~950 000 km2) using a binary logistic regression modelling framework. Explanatory variables included lightning strikes, forest cover, surface weather observations, atmospheric stability indices fuel moisture codes Canadian Fire Weather Index System. Because influence explanatory models varied year...
This study introduces five facets that can improve inference in small area estimation (SAE) problems: (1) model groups, (2) test of effects, (3) conditional EBLUPs, (4) selection, and (5) averaging. Two contrasting case studies with data from the Swiss Norwegian national forest inventories demonstrate facets. The target variable interest was mean stem volume per hectare on forested land 108 districts (FD) 14 municipalities (KOM) County Vestfold. Auxiliary variables airborne laser scanning...
Forest inventories (FIs) are increasingly supported by auxiliary variables (X) with a formulated link to target variable (Y). The tenet forwarded here is that simple single-stage sampling designs and census of X, an analyst can choose between model-assisted model-dependent finite population prediction approach inference without the risk important numerical differences in resulting estimates interest. A small simulation study largely confirmed tenet. suite FI-related issues regarding two...
Abstract Tree‐ring data have become widely used to model tree growth responses climate variability and gain insight about the potential effects of global warming on forests. We capitalized a rare opportunity develop growth–climate models using tree‐ring collected from all trees (>4 cm in diameter at breast height) within 50 × m plots established subalpine old‐growth forests western Canada. Our objective was determine how vary among size classes, species, sites. modeled relationships...
A patchy microsite mosaic gives rise to positive spatial correlations among first-order neighbors in field trials. Competition for a resource short supply tends enhance size differences neighbors. Simulation studies demonstrated that autocorrelations will seriously inflate family variance components and, thus, the individual narrow sense heritability sib trials with multiunit plots randomized complete block designs. Moderate levels of competition between had effect lowering this inflation....