Small Area Estimation and Dasymetric Mapping with survey data from the Forest Inventory and Analysis Program.

Authors: Miranda Rose*, University of Tennessee, Nicholas Nagle*, University of Tennessee
Topics: Spatial Analysis & Modeling, Land Use and Land Cover Change, Quantitative Methods
Keywords: Small Area Estimation, dasymetric mapping, survey methods
Session Type: Paper
Day: 4/13/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Estherwood, Sheraton, 4th Floor
Presentation File: No File Uploaded

The U.S. Forest Service Forest Inventory and Analysis (FIA) program is continuously monitors forest condition and disturbance with field data collected at nationally representative network of sample plots. This network of sites, however, is not dense enough to accurately generate many small area estimates such as county-level basal area or canopy cover. We will show how the method of Penalized Maximum Entropy can be used to combine survey data with Landsat Time Series and other remote sensing data to generate dasymetric maps and small area estimates of forest change and disturbance from the FIA program.

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