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Product Comparing Remote Sensing and Field-Based Approaches to Estimate Ladder Fuels and Predict Wildfire Burn Severity
A comparative study on remote sensing and field-based approaches to estimate ladder fuel density. Can densities from different approaches predict wildfire burn severity?
Located in Resources / Research / Products
Project Connecting Fuels Treatments in the Salish Mountains and Whitefish Range
This landscape-scale fuels reduction project targets connecting 25 miles of cross boundary fuel reduction treatments within the rapidly expanding wildland urban interface (WUI) and communities at risk of catastrophic wildfire near the Salish Mountains west of Kalispell and north to the Whitefish Range.
Located in Resources / / Projects / Fire-Community & Infrastructure
Organization Cornell University
Cornell is a privately endowed research university and a partner of the State University of New York. As the federal land-grant institution in New York State, we have a responsibility—unique within the Ivy League—to make contributions in all fields of knowledge in a manner that prioritizes public engagement to help improve the quality of life in our state, the nation, the world.
Located in LP Members / Organizations Search
Project chemical/x-pdb Data Needs Assessment
The Data Needs Assessment research project was undertaken to review the variety of resources on conservation planning to provide packages of products, data, and identified data gaps to improve conservation planning in the Appalachian LCC. A suite of core conservation planning products and data from principal investigators at Clemson University are now available to the Cooperative.
Located in Research
Data Needs Assessment Research Project Update
This presentation from Dr. Robert Baldwin of Clemson University provides an update to the Steering Committee on the Appalachian LCC funded research project. The Data Needs Assessment project is evaluating existing spatial data, assembling public data in geodatabase, defining conservation planning tasks that can be accomplished, identifying problems to address if data gaps are filled, interpreting uses of data, and conducting analysis of ongoing planning efforts.
Located in Cooperative / / Past SC Meetings and Materials / Steering Committee Call 3/6/14
Data Needs Assessment Research Delivers Suite of Conservation Planning Products
The Data Needs Assessment research project was undertaken to review conservation planning tools, datasets, and methods to provide packages of products, data, and identified data gaps to improve conservation planning in the Appalachian LCC region.
Located in News & Events
Organization Delta State University
Delta State University is a four-year public institution whose nearly 2,700 students come from most U.S. states and more than 35 countries. Programs such as those available through the Delta Music Institute, the Commercial Aviation Department, and the Center for Interdisciplinary Geospatial Information highlight the University’s commitment to meeting the evolving needs of the students it serves with world-leading, industry-acclaimed programs.
Located in LP Members / Organizations Search
File Development of a Spatially Explicit Surface Coal Mining Predictive Model
The goal of this project was to create a spatially explicit 1km2 grid cell model for the Appalachian Landscape Conservation Cooperative (Figure 1) predicting where surface coal mining is likely to occur in in a projected future time period, under two different scenarios. To accomplish this goal we combined GIS spatial analysis, a Random Forests predictive model, and future mining buildout scenarios. This report provides a detailed methodology of our approach and discussion of our results.
Located in Tools & Resources / Assessing Future Energy Development
File Development of a Spatially Explicit Surface Coal Mining Predictive Model
The goal of this project was to create a spatially explicit 1km2 grid cell model for the Appalachian Landscape Conservation Cooperative (Figure 1) predicting where surface coal mining is likely to occur in in a projected future time period, under two different scenarios. To accomplish this goal we combined GIS spatial analysis, a Random Forests predictive model, and future mining buildout scenarios. This report provides a detailed methodology of our approach and discussion of our results.
Located in Research / / Workspace / Deliverables
Organization Duke University
Duke Environment prides itself on its world-renowned faculty, whose expertise spans 45 environmental sectors, ranging from air quality to climate change and population growth.
Located in LP Members / Organizations Search