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    Author(s): John S HoglandNathaniel M. Anderson; Woodam Chung; Lucas Wells
    Date: 2014
    Source: In: Proceedings of the 2014 ESRI Users Conference; July 14-18, 2014, San Diego, CA. Redlands, CA: Environmental Systems Research Institute. Online: http://proceedings.esri.com/library/userconf/proc14/papers/155_181.pdf.
    Publication Series: Paper (invited, offered, keynote)
    Station: Rocky Mountain Research Station
    PDF: View PDF  (1.0 MB)

    Description

    Detailed, accurate, efficient, and inexpensive methods of estimating basal area, trees, and aboveground biomass per acre across broad extents are needed to effectively manage forests. In this study we present such a methodology using readily available National Agriculture Imagery Program imagery, Forest Inventory Analysis samples, a two stage classification and estimation approach, .Net numeric libraries, Spatial Analyst, Function Datasets, and ArcObjects.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Hogland, John S; Anderson, Nathaniel M.; Chung, Woodam; Wells, Lucas. 2014. Estimating forest characteristics using NAIP imagery and ArcObjects. In: Proceedings of the 2014 ESRI Users Conference; July 14-18, 2014, San Diego, CA. Redlands, CA: Environmental Systems Research Institute. Online: http://proceedings.esri.com/library/userconf/proc14/papers/155_181.pdf.

    Keywords

    National Agriculture Imagery Program (NAIP), forest inventory, estimation

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