A Deep Learning-Based Approach for Mangrove Monitoring

Lucas José Velôso de Souza, Ingrid Valverde Reis Zreik, Adrien Salem-Sermanet, Nacéra Seghouani, Lionel Pourchier
10/7/2024
cs.CVeess.IV

No official code found. Best implementation: lucasjvds/MangroveAI (8 stars, MIT, last commit 2024-09-20).

Abstract

Mangroves are dynamic coastal ecosystems that are crucial to environmental health, economic stability, and climate resilience. The monitoring and preservation of mangroves are of global importance, with remote sensing technologies playing a pivotal role in these efforts. The integration of cutting-edge artificial intelligence with satellite data opens new avenues for ecological monitoring, potentially revolutionizing conservation strategies at a time when the protection of natural resources is more crucial than ever. The objective of this work is to provide a comprehensive evaluation of recent deep-learning models on the task of mangrove segmentation. We first introduce and make available a novel open-source dataset, MagSet-2, incorporating mangrove annotations from the Global Mangrove Watch and satellite images from Sentinel-2, from mangrove positions all over the world. We then benchmark three architectural groups, namely convolutional, transformer, and mamba models, using the created dataset. The experimental outcomes further validate the deep learning community's interest in the Mamba model, which surpasses other architectures in all metrics.

View on arXivView PDF

Code Implementations(1)

lucasjvds/MangroveAICommunity100%
MIT

This repository contains the code and data for the paper titled "A Deep Learning-Based Approach for Mangrove Monitoring". The paper was accepted for presentation at the European Conference on Machine Learning (ECML), specifically at the Machine Learning for Earth Observation Workshop.

82Python, Jupyter NotebookJun 21, 20242 years agoMIT

Similar Papers

MANGO: A Global Single-Date Paired Dataset for Mangrove Segmentation

89% match2026

A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task

81% match2024

The point is the mask: scaling coral reef segmentation with weak supervision

81% match1 repo82025

Automatic Coral Detection with YOLO: A Deep Learning Approach for Efficient and Accurate Coral Reef Monitoring

80% match2024

SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild

80% match2024

Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications

80% match2024

Cite this paper

@article{souza2024deep,
  title  = {A Deep Learning-Based Approach for Mangrove Monitoring},
  author = {Lucas José Velôso de Souza and Ingrid Valverde Reis Zreik and Adrien Salem-Sermanet and Nacéra Seghouani and Lionel Pourchier},
  year   = {2024},
  eprint = {2410.05443},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.05443v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2410.05443.svg)](https://codeofpaper.com/paper/2410.05443)

Discussion