Estimating forest characteristics using NAIP imagery and ArcObjects

John S. Hogland; Nathaniel Anderson; Woodam Chung; Lucas Wells

Treesearch

Estimating forest characteristics using NAIP imagery and ArcObjects

Informally Refereed

Authors:

John S. Hogland, Nathaniel Anderson, Woodam Chung, Lucas Wells

Year:

2014

Type:

Paper

Station:

Rocky Mountain Research Station

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.

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Download (PDF 1.36 MB): https://research.fs.usda.gov/download/treesearch/46333.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.

Keywords

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

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.