Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning

Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning

Hyperspectral sensors capture and compute spectral reflectance of objects over many wavelength bands, resulting in a high-dimensional space with enough information to differentiate between spectrally similar objects. Due to the curse of dimensionality, high spectral dimensionality can also be diffic...

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Bibliographic Details
Main Authors: Nontembeko Dudeni-Tlhone, Onisimo Mutanga, Pravesh Debba, Moses Azong Cho
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
optical leaf reflectance characteristics
tree-based classification
measurement time
random forest
gradient boosting
classification errors
Online Access:https://www.mdpi.com/2072-4292/15/17/4117

Internet

https://www.mdpi.com/2072-4292/15/17/4117

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