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Estimating forest characteristics using NAIP imagery and ArcObjectsAuthor(s): John S Hogland; Nathaniel M. Anderson; Woodam Chung; Lucas Wells
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)
DescriptionDetailed, 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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CitationHogland, 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.
KeywordsNational Agriculture Imagery Program (NAIP), forest inventory, estimation
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