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  1. Accuracy assessment of maps of forest condition: Statistical design and methodological considerations [Chapter 5]

    No thematic map is perfect. Some pixels or polygons are not accurately classified, no matter how well the map is crafted. Therefore, thematic maps need metadata that sufficiently characterize the nature and degree of these imperfections. To decision-makers, an accuracy assessment helps judge the risks of using imperfect geospatial data. To analysts, an accuracy...

    https://www.fs.usda.gov/treesearch/search?keywords=%22geospatial+analyses%22

    Author(s):
    Raymond L. Czaplewski
    Year:
    2003
    Keywords:
    accuracy assessment, geospatial data, thematic maps, metadata
    Source:
    In: Wulder, Michael A.; Franklin, Steven E., eds. Remote Sensing of Forest Environments: Concepts and Case Studies. Boston, MA: Kluwer Academic Publishers. p. 115-140.

  2. Automating the Fireshed Assessment Process with ArcGIS

    A library of macros was developed to automate the Fireshed process within ArcGIS. The macros link a number of vegetation simulation and wildfire behavior models (FVS, SVS, FARSITE, and FlamMap) with ESRI geodatabases, desktop software (Access, Excel), and ArcGIS. The macros provide for (1) an interactive linkage between digital imagery, vegetation data, FVS-FFE, and...

    https://www.fs.usda.gov/treesearch/search?keywords=%22geospatial+analyses%22

    Author(s):
    Alan Ager; Klaus Barber
    Year:
    2006
    Keywords:
    fire, fire ecology, fuels management, Fireshed Assessment Process, ArcGIS. ArcMap project file, geospatial analyses, ArcFuels
    Source:
    In: Andrews, Patricia L.; Butler, Bret W., comps. 2006. Fuels Management-How to Measure Success: Conference Proceedings. 28-30 March 2006; Portland, OR. Proceedings RMRS-P-41. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 163-168

  3. Integrating fire behavior models and geospatial analysis for wildland fire risk assessment and fuel management planning

    Wildland fire risk assessment and fuel management planning on federal lands in the US are complex problems that require state-of-the-art fire behavior modeling and intensive geospatial analyses. Fuel management is a particularly complicated process where the benefits and potential impacts of fuel treatments must be demonstrated in the context of land management goals...

    https://www.fs.usda.gov/treesearch/search?keywords=%22geospatial+analyses%22

    Author(s):
    Alan A. Ager; Nicole M. Vaillant; Mark A. Finney
    Year:
    2011
    Keywords:
    fire behavior, wildfire, fuel treatment
    Source:
    Journal of Combustion. 2011: art.572452. 19 p. Doi:10.1155/2011/572452

  4. ArcFuels10 system overview

    Fire behavior modeling and geospatial analyses can provide tremendous insight for land managers as they grapple with the complex problems frequently encountered in wildfire risk assessments and fire and fuels management planning. Fuel management often is a particularly complicated process in which the benefits and potential impacts of fuel treatments need to be...

    https://www.fs.usda.gov/treesearch/search?keywords=%22geospatial+analyses%22

    Author(s):
    Nicole M. Vaillant; Alan A. Ager; John Anderson
    Year:
    2013
    Keywords:
    ArcGIS, fire behavior models, forest growth models, fuel treatment, planning, wildfire hazard, wildfire risk
    Source:
    Gen. Tech. Rep. PNW-GTR-875. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 65 p.

  5. ArcFuels User Guide and Tutorial: for use with ArcGIS 9

    Fuel management planning can be a complex problem that is assisted by fire behavior modeling and geospatial analyses. Fuel management often is a particularly complicated process in which the benefits and potential impacts of fuel treatments need to be demonstrated in the context of land management goals and public expectations. Fire intensity, likelihood, and effects...

    https://www.fs.usda.gov/treesearch/search?keywords=%22geospatial+analyses%22

    Author(s):
    Nicole M. Vaillant; Alan A. Ager; John Anderson; Lauren Miller
    Year:
    2013
    Keywords:
    ArcGIS, fire behavior models, forest growth models, fuel treatment planning, wildfire hazard, wildfire risk
    Source:
    Gen. Tech. Rep. PNWGTR-877. Portland, OR: U.S. Department of Agriculture, Forest Service, PacificNorthwest Research Station. 256 p.

  6. Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago

    Background: Spatially explicit forest carbon (C) monitoring aids conservation and climate change mitigation eforts, yet few approaches have been developed specifcally for the highly heterogeneous landscapes of oceanic island chains that continue to undergo rapid and extensive forest C change. We developed an approach for rapid...

    https://www.fs.usda.gov/treesearch/search?keywords=%22geospatial+analyses%22

    Author(s):
    Gregory P. Asner; Sinan Sousan; David E. Knapp; Paul C. Selmants; Roberta E. Martin; R. Flint Hughes; Christian P. Giardina
    Year:
    2016
    Keywords:
    Carbon stocks, Carnegie Airborne Observatory, Forest inventory, Invasive species, LiDAR, Random Forest Machine Learning
    Source:
    Carbon Balance and Management. 11(1): 299
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