Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6346542 | Remote Sensing of Environment | 2015 | 13 Pages |
Abstract
Photo-interpreted maps are time consuming to produce, subjective in nature, and difficult to replicate. SDMs provide a framework for efficiently producing habitat maps that can be replicated as habitat conditions change over time, provided that comparable remotely sensed data are available. When the SDM uses predictor variables extracted from lidar data, it can produce a habitat map that is both accurate and useful at large and small spatial scales. In comparison, SDMs using Landsat-based data are more appropriate for large scale analyses of amounts and general spatial patterns of habitat at regional scales.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Steven H. Ackers, Raymond J. Davis, Keith A. Olsen, Katie M. Dugger,