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Title: Lessons learned in historical mapping of conifer and oak in the North Coast

Author: Eitzel, Melissa V.; Kelly, Maggi; Quinn-Davidson, Lenya N.;

Date: 2015

Source: Gen. Tech. Rep. PSW-GTR-251. Berkeley, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: 521-527

Publication Series: General Technical Report (GTR)

   Note: This article is part of a larger document. View the larger document

Description: Conifer encroachment into oak woodlands is becoming a pressing concern for oak conservation, particularly in California's north coast. We use Object-Based Image Analysis (OBIA) with historical aerial imagery from 1948 and recent high-spatial-resolution images from 2009 to explore the potential for mapping encroachment using remote sensing. We find that pre-processing historical aerial imagery is time-consuming and that OBIA requires training and experience but has promise for mapping the phenomenon of interest. We also find that identifying conifer and oak in the imagery without ground-based information is not consistently possible. We recommend iterative mapping and field work, both for obtaining field samples to map encroachment and for mapping woody versus herbaceous cover as a way to screen for locations with potential oak recruitment.

Keywords: conifer encroachment, high spatial resolution images, historical aerial images, National Agricultural Imagery Program, object-based image analysis, orthorectification, supervised classification

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Eitzel, Melissa V.; Kelly, Maggi; Quinn-Davidson, Lenya N. 2015. Lessons learned in historical mapping of conifer and oak in the North Coast. In: Standiford, Richard B.; Purcell, Kathryn L., tech. cords. Proceedings of the seventh California oak symposium: managing oak woodlands in a dynamic world. Gen. Tech. Rep. PSW-GTR-251. Berkeley, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: 521-527.

 


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