Moderate resolution satellite imagery traditionally has been thought to be inadequate for mapping vegetation at the species level. This has made comprehensive mapping of regional distributions of sensitive species, such as whitebark pine, either impractical or extremely time consuming. We sought to determine whether using a combination of moderate resolution satellite imagery (Landsat Enhanced Thematic Mapper Plus), extensive stand data collected by land management agencies for other purposes, and modern statistical classification techniques (boosted classification trees) could result in successful mapping of whitebark pine. Overall classification accuracies exceeded 90%, with similar individual class accuracies. Accuracies on a localized basis varied based on elevation. Accuracies also varied among administrative units, although we were not able to determine whether these differences related to inherent spatial variations or differences in the quality of available reference data.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705482PMC
http://dx.doi.org/10.3390/s8084983DOI Listing

Publication Analysis

Top Keywords

whitebark pine
12
mapping regional
8
species whitebark
8
moderate resolution
8
resolution satellite
8
satellite imagery
8
mapping
4
regional distribution
4
distribution single
4
single tree
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!