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  1. Estimating individual tree leaf area in loblolly pine plantations using LiDAR-derived measurments of height and crown dimensions

    Accurate estimates of leaf area index (LAI) could provide useful information to forest managers, but due to difficulties in measurement, leaf area is rarely used in decision-making. A reliable approach to remotely estimating LA1 would greatly facilitate its use in forest management. This study investigated the potential for using small-footprint iDAR, a laser-based...

    https://www.fs.usda.gov/treesearch/search?keywords=%22estimation%22&%3Bamp%3Bf%5B0%5D=author_facet%3A%22Schulz%2C%20Bethany%22&%3Bf%5B0%5D=year%3A%221982%22&f%5B0%5D=author_facet%3A%22Nelson%2C%20Val%22&f%5B1%5D=author_facet%3A%22Evans%2C%20David%22&f%5B2%5D=author_facet%3A%22Loudermilk%2C%20E.%20Louise%22&f%5B3%5D=author_facet%3A%22Stout%2C%20Susan%22&f%5B4%5D=author_facet%3A%22Dickerson%2C%20Brian%22&f%5B5%5D=author_facet%3A%22Wharton%2C%20Eric%22&f%5B6%5D=author_facet%3A%22Weber%2C%20Thomas%22

    Author(s):
    Scott D. Roberts; Thomas J. Dean; David L. Evans; John W. McCombs; Richard L. Harrington; Partick A. Glass
    Year:
    2005
    Keywords:
    Crown width, crown depth, leaf area index, remote sensing
    Source:
    Forest Ecology and Management 213 (2005) 54-70

  2. How to estimate carbon sequestration on small forest tracts estimate carbon sequestration on small forest tracts

    International climate change agreements may allow carbon stored as a result of afforestation and reforestation to be used to offset CO2 emissions. Monitoring the carbon sequestered or released through forest management activities thus becomes important. Estimating forest carbon storage is feasible even for nonindustrial private forestland (NIPF)...

    https://www.fs.usda.gov/treesearch/search?keywords=%22estimation%22&%3Bamp%3Bf%5B0%5D=author_facet%3A%22Schulz%2C%20Bethany%22&%3Bf%5B0%5D=year%3A%221982%22&f%5B0%5D=author_facet%3A%22Nelson%2C%20Val%22&f%5B1%5D=author_facet%3A%22Evans%2C%20David%22&f%5B2%5D=author_facet%3A%22Loudermilk%2C%20E.%20Louise%22&f%5B3%5D=author_facet%3A%22Stout%2C%20Susan%22&f%5B4%5D=author_facet%3A%22Dickerson%2C%20Brian%22&f%5B5%5D=author_facet%3A%22Wharton%2C%20Eric%22&f%5B6%5D=author_facet%3A%22Weber%2C%20Thomas%22

    Author(s):
    Coeli M. Hoover; Richard A. Birdsey; Linda S. Heath; Susan L. Stout
    Year:
    2000
    Keywords:
    Source:
    Journal of Forestry. September: 13-19.

  3. Sample sizes to control error estimates in determining soil bulk density in California forest soils

    Characterizing forest soil properties with high variability is challenging, sometimes requiring large numbers of soil samples. Soil bulk density is a standard variable needed along with element concentrations to calculate nutrient pools. This study aimed to determine the optimal sample size, the number of observation (n), for predicting the soil bulk density with a...

    https://www.fs.usda.gov/treesearch/search?keywords=%22estimation%22&%3Bamp%3Bf%5B0%5D=author_facet%3A%22Schulz%2C%20Bethany%22&%3Bf%5B0%5D=year%3A%221982%22&f%5B0%5D=author_facet%3A%22Nelson%2C%20Val%22&f%5B1%5D=author_facet%3A%22Evans%2C%20David%22&f%5B2%5D=author_facet%3A%22Loudermilk%2C%20E.%20Louise%22&f%5B3%5D=author_facet%3A%22Stout%2C%20Susan%22&f%5B4%5D=author_facet%3A%22Dickerson%2C%20Brian%22&f%5B5%5D=author_facet%3A%22Wharton%2C%20Eric%22&f%5B6%5D=author_facet%3A%22Weber%2C%20Thomas%22

    Author(s):
    Youzhi Han; Jianwei Zhang; Kim G. Mattson; Weidong Zhang; Thomas A. Weber
    Year:
    2016
    Keywords:
    Soil bulk density, Sample size, Bootstrapping, confidence interval, spatial variability
    Source:
    Soil Science Society of America Journal. 80(3): 756-764

  4. Comparison of AVHRR classification and aerial photography interpretation for estimation of forest area

    Forest area was estimated using AVHRR data a