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  1. Airborne laser scanner-assisted estimation of aboveground biomass change in a temperate oak-pine forest

    We estimated aboveground tree biomass and change in aboveground tree biomass using repeated airborne laser scanner (ALS) acquisitions and temporally coincident ground observations of forest biomass, for a relatively undisturbed period (2004-2007; ∇07-04), a contrasting period of disturbance (2007-2009; ∇09-07

    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%22Overby%2C%20Steven%22&f%5B1%5D=author_facet%3A%22McManus%2C%20Michael%22&f%5B2%5D=author_facet%3A%22Skowronski%2C%20Nicholas%22&f%5B3%5D=author_facet%3A%22Cissel%2C%20Richard%22&f%5B4%5D=author_facet%3A%22Jacobs%2C%20Dennis%22&f%5B5%5D=author_facet%3A%22Ristau%2C%20Todd%22&f%5B6%5D=author_facet%3A%22Pijut%2C%20Paula%22

    Author(s):
    Nicholas S. Skowronski; Kenneth L. Clark; Michael Gallagher; Richard A. Birdsey; John L. Hom
    Year:
    2014
    Keywords:
    Airborne laser scanning, ALS, Disturbance, Multi-temporal, Biomass change estimation, New Jersey Pinelands
    Source:
    Remote Sensing of Environment. 151: 166-174.

  2. Image-based change estimation (ICE): monitoring land use, land cover and agent of change information for all lands

    The Image-based Change Estimation (ICE) protocols have been designed to respond to several Agency and Department information requirements. These include provisions set forth by the 2014 Farm Bill, the Forest Service Action Plan and Strategic Plan, the 2012 Planning Rule, and the 2015 Planning Directives. ICE outputs support the information needs by providing estimates...

    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%22Overby%2C%20Steven%22&f%5B1%5D=author_facet%3A%22McManus%2C%20Michael%22&f%5B2%5D=author_facet%3A%22Skowronski%2C%20Nicholas%22&f%5B3%5D=author_facet%3A%22Cissel%2C%20Richard%22&f%5B4%5D=author_facet%3A%22Jacobs%2C%20Dennis%22&f%5B5%5D=author_facet%3A%22Ristau%2C%20Todd%22&f%5B6%5D=author_facet%3A%22Pijut%2C%20Paula%22

    Author(s):
    Kevin Megown; Andy Lister; Paul Patterson; Tracey Frescino; Dennis Jacobs; Jeremy Webb; Nicholas Daniels; Mark Finco
    Year:
    2015
    Keywords:
    Source:
    In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. p. 218.

  3. A GIS-based tool for estimating tree canopy cover on fixed-radius plots using high-resolution aerial imagery

    Recent changes to the Forest Inventory and Analysis (FIA) Program's definition of forest land precipitated the development of a geographic information system (GIS)-based tool for efficiently estimating tree canopy cover for all FIA plots. The FIA definition of forest land has shifted from a density-related criterion based on stocking to a 10 percent tree canopy...

    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%22Overby%2C%20Steven%22&f%5B1%5D=author_facet%3A%22McManus%2C%20Michael%22&f%5B2%5D=author_facet%3A%22Skowronski%2C%20Nicholas%22&f%5B3%5D=author_facet%3A%22Cissel%2C%20Richard%22&f%5B4%5D=author_facet%3A%22Jacobs%2C%20Dennis%22&f%5B5%5D=author_facet%3A%22Ristau%2C%20Todd%22&f%5B6%5D=author_facet%3A%22Pijut%2C%20Paula%22

    Author(s):
    Sara A. Goeking; Greg C. Liknes; Erik Lindblom; John Chase; Dennis M. Jacobs; Robert Benton
    Year:
    2012
    Keywords:
    statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring
    Source:
    In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 237-241.

  4. Accuracy assessment of biomass and forested area classification from modis, landstat-tm satellite imagery and forest inventory plot data

    The objective of this study was to determine how well forestfnon-forest and biomass classifications obtained from Landsat-TM and MODIS satellite data modeled with FIA plots, compare to each other and with forested area and biomass estimates from the national inventory data, as well as whether there is an increase in overall accuracy when pixel size (spatial resolution...

    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%22Overby%2C%20Steven%22&f%5B1%5D=author_facet%3A%22McManus%2C%20Michael%22&f%5B2%5D=author_facet%3A%22Skowronski%2C%20Nicholas%22&f%5B3%5D=author_facet%3A%22Cissel%2C%20Richard%22&f%5B4%5D=author_facet%3A%22Jacobs%2C%20Dennis%22&f%5B5%5D=author_facet%3A%22Ristau%2C%20Todd%22&f%5B6%5D=author_facet%3A%22Pijut%2C%20Paula%22

    Author(s):
    Dumitru Salajanu; Dennis M. Jacobs
    Year:
    2007
    Keywords:
    Source:
    In: ASPRS 2007 annual Conference. Tampa, Florida. May 7-11. 10 p.

  5. Three-dimensional canopy fuel loading predicted using upward and downward sensing LiDAR systems

    We calibrated upward sensing profiling and downward sensing scanning LiDAR systems to estimates of canopy fuel loading developed from field plots and allometric equations, and then used the LiDAR datasets to predict canopy bulk density (CBD) and crown fuel weight (CFW) in wildfire prone stands in the New Jersey Pinelands. LiDAR-derived height profiles were also...

    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%22Overby%2C%20Steven%22&f%5B1%5D=author_facet%3A%22McManus%2C%20Michael%22&f%5B2%5D=author_facet%3A%22Skowronski%2C%20Nicholas%22&f%5B3%5D=author_facet%3A%22Cissel%2C%20Richard%22&f%5B4%5D=author_facet%3A%22Jacobs%2C%20Dennis%22&f%5B5%5D=author_facet%3A%22Ristau%2C%20Todd%22&f%5B6%5D=author_facet%3A%22Pijut%2C%20Paula%22

    Author(s):
    Nicholas S. Skowronski; Kenneth L. Clark; Matthew Duveneck; John Hom
    Year:
    2011
    Keywords:
    canopy bulk density, fuel loading, wild