Hyperspectral remote sensing for early detection of invasive pests

Jennifer Pontius; Mary Martin; Lucie Plourde; Richard Hallett

Treesearch

Hyperspectral remote sensing for early detection of invasive pests

Informally Refereed

Authors:

Jennifer Pontius, Mary Martin, Lucie Plourde, Richard Hallett

Year:

2008

Type:

Other

Station:

Northern Research Station

Source:

In: Mastro, Victor; Lance, David; Reardon, Richard; Parra, Gregory, comps. Emerald ash borer research and development meeting; 2007 October 23-24; Pittsburgh, PA. FHTET 2008-07. Morgantown, WV: U.S. Department of Agriculture, Forest Service, Forest Health Technology Enterprise Team: 66.

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Download (PDF 65 KB): https://research.fs.usda.gov/download/treesearch/15210.pdf

Abstract

Use of hyperspectral technologies to assess vegetation stress has been well-documented over the past several decades. However, taking these technologies from research to management applications has proven challenging. A multi-agency effort was conducted in 2006 to examine the capability of a commercially available sensor (SpecTIR VNIR) to map ash decline due to the exotic emerald ash borer (EAB) in Michigan and Ohio.

Citation

Pontius, Jennifer; Martin, Mary; Plourde, Lucie; Hallett, Richard. 2008. Hyperspectral remote sensing for early detection of invasive pests. In: Mastro, Victor; Lance, David; Reardon, Richard; Parra, Gregory, comps. Emerald ash borer research and development meeting; 2007 October 23-24; Pittsburgh, PA. FHTET 2008-07. Morgantown, WV: U.S. Department of Agriculture, Forest Service, Forest Health Technology Enterprise Team: 66.