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Repeatability in photo-interpretation of tree canopy cover and its effect on predictive mapping

Posted date: July 23, 2012
Publication Year: 
2012
Authors: Jackson, Thomas A.; Moisen, GretchenPatterson, Paul L.; Tipton, John
Publication Series: 
Paper (invited, offered, keynote)
Source: In: McWilliams, Will; Roesch, Francis A. eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 189-192.
Note: This article is part of a larger document.

Abstract

In this study, we explore repeatability in photo-interpreted imagery from the National Agriculture Imagery Program that was sampled as part of the National Land Cover Database 2011 Tree Canopy Cover pilot project. Data were collected in 5 diverse pilot areas in the US, including one each in Oregon, Utah, Kansas, Michigan and Georgia. Repeatability metrics. The intra-class correlation coefficient as well as repeatability graphics are explored for each pilot area. In addition, we conduct a simulation to illustrate the effect of varying tolerance and compliance rates on the predictive maps of tree canopy cover.

Citation

Jackson, Thomas A.; Moisen, Gretchen G.; Patterson, Paul L.; Tipton, John 2012. Repeatability in photo-interpretation of tree canopy cover and its effect on predictive mapping. In: McWilliams, Will; Roesch, Francis A. eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 189-192.
National Strategic Program Areas: 
Inventory and Monitoring