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Using interpreted large scale aerial photo data to enhance satellite-based mapping and explore forest land definitions

Posted date: July 20, 2009
Publication Year: 
2009
Publication Series: 
Proceedings (P)
Source: In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 16 p.
Note: This article is part of a larger document.

Abstract

The Interior-West, Forest Inventory and Analysis (FIA), Nevada Photo-Based Inventory Pilot (NPIP), launched in 2004, involved acquisition, processing, and interpretation of large scale aerial photographs on a subset of FIA plots (both forest and nonforest) throughout the state of Nevada. Two objectives of the pilot were to use the interpreted photo data to enhance satellite-based mapping capabilities by providing training information at a moderate scale, and to refine definitions of forest land by facilitating explorations of forest land definition changes. This study examines the usefulness of NPIP data for fulfilling these objectives by exploring relationships between photo-interpreted information and FIA ground data with Moderate Resolution Imaging Spectroradiometer (MODIS) data using machine learning, Random Forests models. Photo-interpreted data were determined to be valuable training data for models using MODIS imagery, even in areas of low tree cover, and were found to be slightly more effective than using field data.

Citation

Frescino, Tracey S.; Moisen, Gretchen G. 2009. Using interpreted large scale aerial photo data to enhance satellite-based mapping and explore forest land definitions. In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 16 p.