Abstract #300105

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JSM 2003 Abstract #300105
Activity Number: 107
Type: Invited
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics & the Environment
Abstract - #300105
Title: Small Area Estimation Using Maps Based on Forest Inventory Data and Satellite Imagery
Author(s): Ronald E. McRoberts*+
Companies: USDA Forest Service
Address: North Central Research Station, Saint Paul, MN, 55108-1034,
Keywords:
Abstract:

The Forest Inventory and Analysis (FIA) program of the USDA Forest Service acquires a suite of observations and measurements for an array of field plots systematically distributed across the nation and reports stratified estimates for counties and larger geographic areas. Users of FIA data frequently desire estimates for smaller areas of interest (AOIs). For these small AOIs, two difficulties emerge: (a) the confidential exact plot locations are required to assure that data for all plots in the AOI are included; and (b) the number of plots may be too small to produce sufficiently precise estimates. An alternative is to use the plot data and satellite imagery to produce a map of the forest attribute of interest, and then calculate estimates by summing over the pixel-level predictions of the attribute of interest. Percent canopy cover maps at 30m x 30m resolution were created for a large region in the North Central United States. Estimates of the means and standard errors of map-based percent forest canopy cover for smaller AOIs were calculated and compared to the corresponding stratified estimates.

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