Modelled functional group vegetation cover from 2016 to 2020 on the Soda Wildfire
July 11, 2022
These rasters represent plant cover during each of the first five growing seasons after fire in the area burned in the 2015 Soda wildfire. Specifically included cover layers are annual herbaceous, perennial herbaceous, shrub, exotic annual grass, and bareground. Training data for each year was collected via grid-point intercept monitoring between April and August. Empirical Bayesian Kriging Regression (EBK regression) was then used to interpolate field training data and create continuous maps of cover. Accuracy for rasters was assessed via independent test data sets collected on the same landscape.
Citation Information
| Publication Year | 2022 |
|---|---|
| Title | Modelled functional group vegetation cover from 2016 to 2020 on the Soda Wildfire |
| DOI | 10.5066/P9P8G8XM |
| Authors | Cara V Applestein |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Forest and Rangeland Ecosystem Science Center (FRESC) Headquarters |
Related Content
How do accuracy and model agreement vary with versioning, scale, and landscape heterogeneity for satellite-derived vegetation maps in sagebrush steppe?
Maps of the distribution and abundance of dominant plants derived from satellite data are essential for ecological research and management, particularly in the vast semiarid shrub-steppe. Appropriate application of these maps requires an understanding of model accuracy and precision, and how it might vary across space, time, and different vegetation types. For a 113 k Ha burn area, we compared mod
Authors
Cara Applestein, Matthew J. Germino
Related Content
- Publications
How do accuracy and model agreement vary with versioning, scale, and landscape heterogeneity for satellite-derived vegetation maps in sagebrush steppe?
Maps of the distribution and abundance of dominant plants derived from satellite data are essential for ecological research and management, particularly in the vast semiarid shrub-steppe. Appropriate application of these maps requires an understanding of model accuracy and precision, and how it might vary across space, time, and different vegetation types. For a 113 k Ha burn area, we compared modAuthorsCara Applestein, Matthew J. Germino - Connect