Integrating UAV imagery and machine learning via Geographic Object Based Image Analysis (GEOBIA) for enhanced monitoring of Yucca gloriosa in Mediterranean coastal dunes-Reference-Cited by-同舟云学术

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Integrating UAV imagery and machine learning via Geographic Object Based Image Analysis (GEOBIA) for enhanced monitoring of Yucca gloriosa in Mediterranean coastal dunes

Published:2024-11 Issue: Volume:258 Page:107377
ISSN:0964-5691
Container-title:Ocean & Coastal Management
language:en
Short-container-title:Ocean & Coastal Management

Author:

Cini Elena^ORCID,Marzialetti Flavio^ORCID,Paterni Marco^ORCID,Berton Andrea^ORCID,Acosta Alicia Teresa Rosario^ORCID,Ciccarelli Daniela^ORCID

Funder

Roma Tre University Department of Sciences

University of Sassari

Publisher

Elsevier BV

Reference121 articles.

1. Are there habitats that contribute best to plant species diversity in coastal dunes?;Acosta;Biodivers. Conserv.,2009

2. Autonomous detection of mouse-ear hawkweed using drones, multispectral imagery and supervised machine learning;Amarasingam;Rem. Sens.,2023

3. Integrating artificial intelligence and UAV-acquired multispectral imagery for the mapping of invasive plant species in complex natural environments;Amarasingam;Rem. Sens.,2024

4. Species discrimination and individual tree detection for predicting main dendrometric characteristics in mixed temperate forests by use of airborne laser scanning and ultra-high-resolution imagery;Apostol;Sci. Total Environ.,2020

5. Experimental management control of Opuntia dillenii haw. And Agave americana L. In teno rural Park, canary islands;Arévalo;Plant Species Biol.,2015

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