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Keyword: modeling

A comparison of standard modeling techniques using digital aerial imagery with national elevation datasets and airborne LiDAR to predict size and density forest metrics in the Sapphire Mountains MT, USA

Publications Posted on: April 16, 2019
In recent years airborne Light Detection and Ranging (LiDAR) technology has received a great deal of attention. Using airborne LiDAR, analysts have successfully related height measurements to forest characteristics such as tree size, basal area, and number of trees.

Landscape applications of machine learning: Comparing random forests and logistic regression in multi-scale optimized predictive modeling of American marten occurrence in northern Idaho, USA [Chapter 9]

Publications Posted on: December 04, 2018
The American marten (martes americana) is a species that is dependent on old conifer forest at middle to high elevations and is highly sensitive to habitat loss and fragmentation in a scale dependent fashion (e.g., Hargis et al. 1999; Wasserman et al. 2012a, b), and forest management is often influenced by considerations of how management will affect extent and pattern of marten habitat.

Modeling thinning effects on fire behavior with STANDFIRE

Publications Posted on: October 05, 2018
Key message: We describe a modeling system that enables detailed, 3D fire simulations in forest fuels. Using data from three sites, we analyze thinning fuel treatments on fire behavior and fire effects and compare outputs with a more commonly used model.

National projections of forest and rangeland condition indicators: a supporting technical document for the 1999 RPA assessment.

Publications Posted on: August 01, 2018
The 1999 forest and rangeland condition indicator model is a set of independent econometric production functions for environmental outputs (measured with condition indicators) at the national scale.

NorWeST stream temperature data summaries for the western U.S.

Datasets Posted on: March 15, 2018
NorWeST is an interagency stream temperature database and model for the western United States containing data from over 20,000 unique stream locations. Temperature observations were solicited from state, federal, tribal, private, and municipal resource organizations and processed using a custom cleaning script developed by Gwynne Chandler. Summaries of daily, weekly, and monthly means, minima, and maxima are provided for observation years.

NorWeST modeled summer stream temperature scenarios for the western U.S.

Datasets Posted on: March 15, 2018
NorWeST summer stream temperature scenarios were developed for all rivers and streams in the western U.S. from the > 20,000 stream sites in the NorWeST database where mean August stream temperatures were recorded.

Doing more with the core: Proceedings of the 2017 Forest Inventory and Analysis (FIA) Science Stakeholder Meeting; 2017 October 24- 26; Park City, UT

Publications Posted on: October 17, 2017
The Forest Service’s Forest Inventory and Analysis Program (FIA) is the primary source of information about our forests’ status and trends. A network of nationally consistent field observations forms FIA’s core, and active collaboration with clients and peer organizations ensures that the resulting inventory remains agile, comprehensive, and relevant.

Painting a picture across the landscape with ModelMap

Publications Posted on: September 08, 2017
Scientists and statisticians working for the Rocky Mountain Research Station have created a software package that simplifies and automates many of the processes needed for converting models into maps. This software package, called ModelMap, has helped a variety of specialists and land managers to quickly convert data into easily understood graphical images. The software package also includes methods to test for accuracy.

Meta-replication reveals nonstationarity in multi-scale habitat selection of Mexican Spotted Owl

Publications Posted on: August 29, 2017
Anthropogenic environmental changes are leading to habitat loss and degradation, driving many species to extinction. In this context, habitat models become increasingly important for effective species management and conservation.

Fire and Smoke Model Evaluation Experiment (FASMEE): Modeling gaps and data needs

Publications Posted on: July 20, 2017
Fire and smoke models are numerical tools for simulating fire behavior, smoke dynamics, and air quality impacts of wildland fires. Fire models are developed based on the fundamental chemistry and physics of combustion and fire spread or statistical analysis of experimental data (Sullivan 2009). They provide information on fire spread and fuel consumption for safe and efficient prescribed (Rx) burning and wildfire suppression.