Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models

Beyond presence mapping: predicting fractional cover of non‐native vegetation in Sentinel‐2 imagery using an ensemble of MaxEnt models

Abstract Non‐native species maps are important tools for understanding and managing biological invasions. We demonstrate a novel approach to extend presence modeling to map fractional cover (FC) of non‐native yellow sweet clover Melilotus officinalis in the Northern Great Plains, USA. We used ensemb...

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Bibliographic Details
Main Authors: Todd M. Preston, Aaron N. Johnston, Kyle G. Ebenhoch, Robert H. Diehl
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
Data fusion
landcover classification
machine learning
Melilotus officinalis
National Agricultural Imagery Program
UAV
Online Access:https://doi.org/10.1002/rse2.325

Internet

https://doi.org/10.1002/rse2.325

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