Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach

Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach

The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity, are common challenges for mapping dryland vegetation with remote sensing. Consequently, the results of a single classification algorithm or one type of sensor t...

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Bibliographic Details
Main Authors: Hamid Dashti, Andrew Poley, Nancy F. Glenn, Nayani Ilangakoon, Lucas Spaete, Dar Roberts, Josh Enterkine, Alejandro N. Flores, Susan L. Ustin, Jessica J. Mitchell
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
drylands
classification
SAM
MESMA
LiDAR
Online Access:https://www.mdpi.com/2072-4292/11/18/2141

Internet

https://www.mdpi.com/2072-4292/11/18/2141

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