Tracking canopy gaps in mangroves remotely using deep learning-Reference-Cited by-同舟云学术

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Tracking canopy gaps in mangroves remotely using deep learning

Published:2022-07-12 Issue:6 Volume:8 Page:890-903
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens Ecol Conserv

Author:

Lassalle Guillaume¹^ORCID,de Souza Filho Carlos Roberto¹

Affiliation:

1. Geosciences Institute University of Campinas PO Box 6152 13083‐855 Campinas Brazil

Funder

Agência Nacional do Petróleo, Gás Natural e Biocombustíveis

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.289

Reference67 articles.

1. Mapping complex coastal wetland mosaics in Gabon for informed ecosystem management: use of object‐based classification

2. Canopy gaps and the natural regeneration of Matang mangroves

3. Distinct characteristics of canopy gaps in the subtropical mangroves of Moreton Bay, Australia

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1. EIAGA-S: Rapid Mapping of Mangroves Using Geospatial Data without Ground Truth Samples;Forests;2024-08-29

2. Mapping tree species of wetlands using multispectral images of UAVs and machine learning: A case study of the Dong Rui Commune;Heliyon;2024-08

3. Characterising the distribution of mangroves along the southern coast of Vietnam using multi-spectral indices and a deep learning model;Science of The Total Environment;2024-05

4. Unraveling the spectral and biochemical response of mangroves to oil spills and biotic stressors;Environmental Pollution;2024-05

5. Assessing the characteristics and seasonal changes of mangrove forest in Dong Rui commune, Quang Ninh Province, Vietnam based on multispectral UAV data;Landscape and Ecological Engineering;2024-02-26

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