G
Gretchen G. Moisen
Researcher at United States Forest Service
Publications - 93
Citations - 5794
Gretchen G. Moisen is an academic researcher from United States Forest Service. The author has contributed to research in topics: Forest inventory & Disturbance (geology). The author has an hindex of 34, co-authored 88 publications receiving 4972 citations. Previous affiliations of Gretchen G. Moisen include United States Department of Agriculture.
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A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and Kappa
TL;DR: It was found that species with poor model quality or low prevalence were most sensitive to the choice of threshold, and the best results were obtained from thresholds deliberately chosen so that the predicted prevalence equaled the observed prevalence, followed closely by thresholds chosen to maximize kappa.
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Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches
Scott Powell,Warren B. Cohen,Sean P. Healey,Robert E. Kennedy,Gretchen G. Moisen,Kenneth Pierce,Janet L. Ohmann +6 more
TL;DR: In this article, the authors compared three statistical techniques (Reduced Major Axis regression, Gradient Nearest Neighbor imputation, and Random Forests regression trees) for modeling biomass to better understand how the choice of model type affected predictions of biomass dynamics.
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Comparing five modelling techniques for predicting forest characteristics
TL;DR: Five modelling techniques were compared for mapping forest characteristics in the Interior Western United States and tremendous advantages were seen in use of MARS and ANN for prediction over LMs, GAMs, and CART.
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PresenceAbsence: An R Package for Presence Absence Analysis
TL;DR: The PresenceAbsence package for R provides a toolkit for selecting the optimal threshold for translating a probability surface into presence-absence maps specifically tailored to their intended use.
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Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information
J. A. Blackard,Mark Finco,Eileen H. Helmer,G. R. Holden,M. L. Hoppus,D.M. Jacobs,A. J. Lister,Gretchen G. Moisen,M. D. Nelson,R. Riemann,Bonnie Ruefenacht,D. Salajanu,D. Weyermann,K. Winterberger,Thomas J. Brandeis,Raymond L. Czaplewski,R. E. McRoberts,Paul L. Patterson,R. P. Tymcio +18 more
TL;DR: In this paper, a spatially explicit dataset of aboveground live forest biomass was made from ground measured inventory plots for the conterminous U.S., Alaska and Puerto Rico.