Using Very-High-Resolution Multispectral Classification to Estimate Savanna Fractional Vegetation Components

Using Very-High-Resolution Multispectral Classification to Estimate Savanna Fractional Vegetation Components

Characterizing compositional and structural aspects of vegetation is critical to effectively assessing land function. When priorities are placed on ecological integrity, remotely sensed estimates of fractional vegetation components (FVCs) are useful for measuring landscape-level habitat structure an...

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Bibliographic Details
Main Authors: Andrea E. Gaughan, Nicholas E. Kolarik, Forrest R. Stevens, Narcisa G. Pricope, Lin Cassidy, Jonathan Salerno, Karen M. Bailey, Michael Drake, Kyle Woodward, Joel Hartter
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
savannas
vegetation composition
Africa
random forest classifier
vegetation structure
unoccupied aerial systems
Online Access:https://www.mdpi.com/2072-4292/14/3/551

Internet

https://www.mdpi.com/2072-4292/14/3/551

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