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Project ID: 01-1-4-09

Year: 2001

Date Started: 09/19/2001

Date Completed: 09/30/2005

Title: A Novel Approach to Regional Fuel Mapping: Linking Inventory Plots with Satellite Imagery and GIS Databases Using the Gradient Nearest Neighbor Method

Project Proposal Abstract: Accurate regional maps of vegetation and fuels are increasingly needed for assessing fire risk, planning fuel management, and modeling the behavior and effects of prescribed burns and wildfires. In order for such maps to be useful to land managers, they must accurately predict a large number of vegetation and fuel attributes across heterogeneous, multiownership landscapes. We propose to map fuels in the Western U.S. using the Gradient Nearest Neighbor method, a novel approach to vegetation mapping that uses multivariate statistics to link ground data, satellite imagery, and GIS maps of environmental variables. The GNN method imputes a suite of fine-scale plot variables to each pixel in a digital map, allowing simultaneous and consistent predicting of a wide range of vegetation attributes. Because plot data are maintained at the finest level of resolution, the final product can be used to map a wide array of summary variables and classifications. Although the GNN method has been successfully used to generate forest vegetation maps, suitable for detailed, stand-level modeling across the landscape, further testing and accuracy assessment is needed to examine its utility for predicting fuel patterns across a range of ecosystems. We plan to produce detailed fuel maps for three prototype landscapes in Oregon, Washington, and California, encompassing vegetation from dense forests to rangelands in a mosaic of natural and human-dominated environments, Digital maps, documentation of methods, and detailed accuracy assessments will be made available to managers working in each of the study areas. We will also develop a user-friendly software interface that will facilitate use of the GNN method by others to map vegetation.

Principal Investigator: Janet L. Ohmann

Agency/Organization: Forest Service

Branch or Dept: PNW-Forestry Sciences Lab-Corvallis


Other Project Collaborators

Type

Name

Agency/Organization

Branch or Dept

Co-Principal Investigator

Scott Danskin

University of Georgia

Warnell School of Forest Resources

Co-Principal Investigator

Jeremy S. Fried

Forest Service

PNW-RMA-Resource Monitoring & Assessment-Portland

Co-Principal Investigator

Matthew J. Gregory

Oregon State University

Forestry

Co-Principal Investigator

Kenneth B. Pierce

Forest Service

PNW-Forestry Sciences Lab-Corvallis

Co-Principal Investigator

Michael C. Wimberly

South Dakota State University

GIS Center of Excellence

Collaborator/Contributor

Tom Leuschen

Fire Vision Enterprise Unit

Collaborator/Contributor

Roger D. Ottmar

Forest Service

PNW-Seattle-Managing Natural Disturbances

Collaborator/Contributor

David B. Sapsis

California

CAL Fire-Forestry & Fire Protection-Sacramento Headquarters

Collaborator/Contributor

John Szymoniak

Forest Service

NIFC-National Interagency Fire Center

Collaborator/Contributor

Jan W. Van Wagtendonk

USGS-Geological Survey

WERC-Yosemite Field Station

Federal Cooperator

Janet L. Ohmann

Forest Service

PNW-Forestry Sciences Lab-Corvallis


Project Locations

Consortium

California

Northwest


There are no project locations identified for this project.

Project Deliverables

Final Report view or print

("Results presented in JFSP Final Reports may not have been peer-reviewed and should be interpreted as tentative until published in a peer-reviewed source.")

  ID Type Title
  go to website 1220 Government Publication A Multivariate Approach to Mapping Forest Vegetation and Fuels Using GIS Databases, Satellite Imagery, and Forest Inventory Plots
    3373 Journal Article A Multi-Scale Assessment of Human and Environmental Constraints on Forest Land Cover Change on the Oregon (USA) Coast Range
    2753 Journal Article Predictive Mapping of Forest Composition and Structure with Direct Gradient Analysis and Nearest Neighbor Imputation in Coastal Oregon, USA
    2754 Journal Article Influence of Environment, Disturbance, and Ownership on Forest Composition and Structure of Coastal Oregon
    2431 Dataset (including spatial)  
  go to website 2432 Website  
    2452 Field Demonstration/Tour  
    2453 Field Demonstration/Tour  
    2454 Field Demonstration/Tour  
    2455 Invited Paper/Presentation Regional-Scale Mapping of Fuels: Integrating Gradient Nearest Neighbor (GNN) and Fuels Characteristics Classification System (FCCS)
    2456 Invited Paper/Presentation Gradient Nearest Neighbor Imputation Mapping in Support of Risk Assessment
    2457 Invited Paper/Presentation Predictive Mapping of Forest Composition and Structure with Direct Gradient Analysis and Nearest-Neighbor Imputation for Regional Policy Analysis and Ecological Research
    2458 Invited Paper/Presentation Regional Vegetation Mapping in Support of Risk Assessment
    2459 Invited Paper/Presentation Mapping Forest Vegetaion and Fuels with Gradient Nearest Neighbor Imputation
    2484 Conference/Symposia/Workshop Landscape Connectivity and the Potential for Catastrophic Fire in Forested Landscapes
    2485 Conference/Symposia/Workshop A Novel Approach to Regional Fuel Mapping: Linking Inventory Plots With Satellite Imagery and GIS Database Using the Gradient Nearest Neighbor Method
    2486 Conference/Symposia/Workshop A Novel Approach to Regional Fuel Mapping: Linking Inventory Plots With Satellite Imagery and GIS Database Using the Gradient Nearest Neighbor Method
    2397 Conference/Symposia/Workshop A Multivariate Approach to Mapping Forest Vegetation and Fuels Using GIS Databases, Satellite Imagery, and Forest Inventory Plots
    2398 Conference/Symposia/Workshop Assessing Spatial Uncertainty in Landscape Vegetation Maps Created with Imputation Procedures
    2399 Conference/Symposia/Workshop Landscape Connectivity and the Potential for Catastrophic Fire in Forested Landscapes
    2400 Conference/Symposia/Workshop Scaling Plot Inventories for Regional Assessments
    2632 Invited Paper/Presentation Mapping Forest Vegetation and Fuels with Gradient Nearest Neighbor Imputation
    2401 Conference/Symposia/Workshop A Mid-Scale Approach to Mapping Forest Fuel and Fire Hazards at the Wildland-Urban Interface by Imputation and Modeling of Inventory Plot Data
    2402 Conference/Symposia/Workshop A Novel Approach to Regional Fuel Mapping: Linking Inventory Plots with Satellite Imagery and GIS Databases Using the Gradient Nearest Neighbor Method
    2403 Conference/Symposia/Workshop Evaluating Spatial Prediction Surfaces (Maps?) of Vegetetation Characteristics Using Multiple Criteria
    2404 Conference/Symposia/Workshop Gradient Imputation of Tree Species Distributions Using Moderate Resolution Data for Regional-National Risk Assessment
    2405 Field Demonstration/Tour  
    2661 Conference/Symposia/Workshop Mapping Live and Dead Forest Fuels at the Ecoregion Scale in Coastal Oregon with Landsat Imagery and Forest Inventory Plots
    2428 Poster Mapping Forests of the Pacific Northwest: Structure, Species and Uncertainty
    2429 Poster The Program GNN Run for Mapping Vegetation with Gradient Nearest Neighbor Imputation
    2430 Computer Model/Software/Algorithm  
    7188 Conference/Symposia/Workshop Gradient Nearest Neighbor Imputation Based on FIA Plots? Useful Tool or Lying With Maps
    7189 Conference/Symposia/Workshop Influences of Landscape Structure, Drought, and Wind on Crown Fire Spread in Forest Landscapes
    7030 Invited Paper/Presentation Gradient Nearest Neighor Imputation Maps for Landscape Analysis in the Pacific Northwest
    7031 Invited Paper/Presentation What is the Probability that I-30 Runs Through Fort Worth? Incorporating Uncertainty Into Map Use
    7032 Poster Tapping the Forest Inventory for Spatially Continuous Estimates of Fuels and Fire Potential: The GNN Fire Approach

Supporting Documents

There are no supporting documents available for this project.

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