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The National Forest Inventory of the United States of America

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The mission of the Forest Inventory and Analyis (FIA) program of the Forest Service, U.S. Department of Agriculture, is to conduct the national forest inventory of the United States of America for purposes of estimating the area of forest land; the volume, growth, and removal of forest resources; and the health of the forest. Users of FIA data, estimates, and related products include land managers, policy and decision-makers, forest industry, environmental organizations, and university researchers. To accomplish its mission, the FIA program has established a sampling design with an intensity of approximately one permanent plot per 2,400 ha across the entire country. Depending on the region of the country, each plot is remeasured at intervals of five or 10 years. The program releases data annually and reports estimates at the county level for each state every five years. Due to budgetary constraints and natural variability among plot observations, sufficient numbers of plots cannot be measured to satisfy precision guidelines for the estimates of many variables unless the estimation process is enhanced using ancillary data. Classified satellite imagery has been demonstrated to be a source of ancillary data that can be used with stratified estimation techniques to increase the precision of estimates with little corresponding increase in costs. A crucial factor restricting the utility of FIA data is that the exact locations of inventory plots cannot be released to the public. Thus, users are generally not able to obtain estimates for small areas or for their own areas of interest if exact plot locations are required. To compensate, satellite imagery, inventory plot data, and the k-Nearest Neighbors technique are being used to construct Internet-based maps of forest attributes from which estimates for arbitrary user-defined areas of interest may be obtained.

Abstract

The mission of the Forest Inventory and Analyis (FIA) program of the Forest Service, U.S. Department of Agriculture, is to conduct the national forest inventory of the United States of America for purposes of estimating the area of forest land; the volume, growth, and removal of forest resources; and the health of the forest. Users of FIA data, estimates, and related products include land managers, policy and decision-makers, forest industry, environmental organizations, and university researchers. To accomplish its mission, the FIA program has established a sampling design with an intensity of approximately one permanent plot per 2,400 ha across the entire country. Depending on the region of the country, each plot is remeasured at intervals of five or 10 years. The program releases data annually and reports estimates at the county level for each state every five years. Due to budgetary constraints and natural variability among plot observations, sufficient numbers of plots cannot be measured to satisfy precision guidelines for the estimates of many variables unless the estimation process is enhanced using ancillary data. Classified satellite imagery has been demonstrated to be a source of ancillary data that can be used with stratified estimation techniques to increase the precision of estimates with little corresponding increase in costs. A crucial factor restricting the utility of FIA data is that the exact locations of inventory plots cannot be released to the public. Thus, users are generally not able to obtain estimates for small areas or for their own areas of interest if exact plot locations are required. To compensate, satellite imagery, inventory plot data, and the k-Nearest Neighbors technique are being used to construct Internet-based maps of forest attributes from which estimates for arbitrary user-defined areas of interest may be obtained.

참고문헌 (21)

  1. The Enhanced Forest Inventory and Analysis program - national sampling design and estimation procedures, "Bechtold, W.A.", U.S. Deparement of Agriculture, Forest Service, Southern Research Station, 85~, pp.General Technical Report SRS-80 (2005)
  2. Carbon in U.S. forests and wood products, 1987-1997: state-by-state estimates, "Birdsey, R. A.", U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 42~, pp.General Technical Report NE-310 (2003)
  3. Cochran, W.G., "Sampling techniques" (1977), Wiley
  4. Heinz, "The state of the nation’s ecosystems: measuring the lands, waters, and living resources of the United States", pp.288~ (2002), Cambridge University Press
  5. Magnussen, S., "National forest inventories in North America for monitoring forest tree species diversity", Plant Biosystems, 14, pp.113~122 (2007)
  6. McRoberts, R. E., "A two-step nearest neighbors algorithm using satellite imagery for predicting forest structure within species composition classes", Remote Sensing of Environment, 113, pp.532~545 (2009)
  7. McRoberts, R. E., "A model-based approach to estimating forest area", Remote Sensing of Environment, 103, pp.56~66 (2006)
  8. McRoberts, R. E., "Estimating tree species richness from forest inventory plot data", Proceedings of the Seventh Annual Forest Inventory and Analysis Symposium, pp.275~280 (2007), U.S. Department of Agriculture Forest Service
  9. McRoberts, R. E., "Remote sensing support for national forest inventories", Remote Sensing of Environment, 110, pp.412~419 (2007)
  10. McRoberts, R. E., "Assessing forest naturalness", Forest Science (2009)
  11. McRoberts, R.E., , Remote Sensing of Environment, 81, pp.36~44 (2002)
  12. McRoberts, R. E., "Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery", Remote Sensing of Environment, 111, pp.466~480 (2007)
  13. McRoberts, R. E., "Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the U.S. Forest Service", Canadian Journal of Forest Research, 36, pp.2968~2980 (2006)
  14. McRoberts, R. E., "The Enhanced Forest Inventory and Analysis program of the USDA Forest Service: historical perspective and announcement of statistical documentation", Journal of Forestry, 103(6), pp.304~308 (2005)
  15. McRoberts, R. E., "Large-scale spatial patterns of forest structural diversity", Canadian Journal of Forest Research, 38, pp.429~438 (2008)
  16. O’Neill, K. P., "Linking Soils and Down Woody Material Inventories for Cohesive Assessments of Ecosystem Carbon Pools", Proceedings of the fourth annual forest inventory and analysis symposium, pp.27~32 (2005), U.S. Department of Agriculture, Forest Service, North Central Research Station
  17. A strategic assessment of forest biomass and fuel reduction treatments in western states, "Rummer, B.", U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 17~, pp.General Technical Report RMRS-149 (2003)
  18. Särndal, C. E., "Model assisted survey sampling", pp.694~ (1992), Springer-Verlag
  19. Tomppo, E., "Combining national forest inventory field plots and remote sensing data for forest databases", Remote Sensing of Environment, 112, pp.1982~1999 (2008)
  20. Woodall, C. W., "The national inventory of down woody materials: methods, outputs, and future directions", Proceedings of the National Conference of the Society of American Foresters National Conference, pp.366~ (2003)
  21. Woodall, C.W., "A national assessment of fuel loadings", Journal of Forestry, 101(2), pp.4~5 (2003)

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