Estimating Vegetation Beta Diversity from Airborne Imaging Spectroscopy and Unsupervised Clustering

Estimating Vegetation Beta Diversity from Airborne Imaging Spectroscopy and Unsupervised Clustering

Airborne remote sensing has an important role to play in mapping and monitoring biodiversity over large spatial scales. Techniques for applying this technology to biodiversity mapping have focused on remote species identification of individual crowns; however, this requires collection of a large num...

Full description

Bibliographic Details
Main Authors: Claire A. Baldeck, Gregory P. Asner
Format: Article
Language:English
Published: MDPI AG 2013-04-01
Series:Remote Sensing
Subjects:
beta diversity
Bray-Curtis
Carnegie Airborne Observatory
hyperspectral
Kruger National Park
LiDAR
savanna
spectral variation hypothesis
k-means clustering
support vector machine
unsupervised
Online Access:http://www.mdpi.com/2072-4292/5/5/2057

Internet

http://www.mdpi.com/2072-4292/5/5/2057

Similar Items