Assessing the effectiveness of UAV data for accurate coastal dune habitat mapping-Reference-Cited by-同舟云学术

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Assessing the effectiveness of UAV data for accurate coastal dune habitat mapping

Published:2023-03-28 Issue:1 Volume:56 Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Cruz Charmaine¹^ORCID,O’Connell Jerome²^ORCID,McGuinness Kevin³^ORCID,Martin James R.⁴^ORCID,Perrin Philip M.⁴^ORCID,Connolly John¹^ORCID

Affiliation:

1. Department of Geography, Trinity College Dublin, The University of Dublin, Dublin, Ireland

2. ProvEye Limited, Causeway, Co. Kerry, Ireland

3. School of Electronic Engineering, Dublin City University, Dublin, Ireland

4. Botanical, Environmental & Conservation (BEC) Consultants Ltd, Dublin, Ireland

Funder

rk was supported by the Environmental Protection Agency

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2023.2191870

Reference85 articles.

1. Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

2. Effects of point cloud density, interpolation method and grid size on derived Digital Terrain Model accuracy at micro topography level

3. Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?

4. Wetland Classification Using Multi-Source and Multi-Temporal Optical Remote Sensing Data in Newfoundland and Labrador, Canada

5. Lightweight unmanned aerial vehicles will revolutionize spatial ecology

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1. Integrating UAV imagery and machine learning via Geographic Object Based Image Analysis (GEOBIA) for enhanced monitoring of Yucca gloriosa in Mediterranean coastal dunes;Ocean & Coastal Management;2024-11

2. Drones in Action: A Comprehensive Analysis of Drone-Based Monitoring Technologies;Data and Metadata;2024-09-02

3. Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning;Environmental Monitoring and Assessment;2024-08-31

4. Enhancing precision in coastal dunes vegetation mapping: ultra-high resolution hierarchical classification at the individual plant level;International Journal of Remote Sensing;2024-06-26

5. Digital Elevation Models and Orthomosaics of the Dutch Noordwest Natuurkern Foredune Restoration Project;Data;2024-02-15

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