Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review

This study explores the rapid growth in remote-sensing technologies for vegetation mapping, driven by the integration of advanced machine learning techniques. An analysis of publication trends from Scopus indicates significant expansion from 2019 to 2023, reflecting technological advancements and im...

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Bibliographic Details
Main Authors: Charles Matyukira, Paidamwoyo Mhangara
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2024.2422330
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