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Estimating forest characteristics using NAIP imagery and ArcObjects

Posted date: August 27, 2014
Publication Year: 
2014
Authors: Hogland, JohnAnderson, Nathaniel (Nate); Chung, Woodam; Wells, Lucas
Publication Series: 
Paper (invited, offered, keynote)
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.

Abstract

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.

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.