Assessing the Efficacy of Phenological Spectral Differences to Detect Invasive Alien <i>Acacia dealbata</i> Using Sentinel-2 Data in Southern Europe

Assessing the Efficacy of Phenological Spectral Differences to Detect Invasive Alien <i>Acacia dealbata</i> Using Sentinel-2 Data in Southern Europe

Invasive alien plants are transforming the landscapes, threatening the most vulnerable elements of local biodiversity across the globe. The monitoring of invasive species is paramount for minimizing the impact on biodiversity. In this study, we aim to discriminate and identify the spatial extent of...

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Bibliographic Details
Main Authors: Dario Domingo, Fernando Pérez-Rodríguez, Esteban Gómez-García, Francisco Rodríguez-Puerta
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
invasive alien plants
remote sensing
phenology
machine learning
Online Access:https://www.mdpi.com/2072-4292/15/3/722

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