Cover Image

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Carolina Natel, Christoph Molnar, Ricardo Dalagnol, Peer Nowack
Format:	Artículo Open Access
Published:	Wiley 2026
Subjects:	WIREs Data Mining and Knowledge Discovery
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
by: Toshitaka Hayashi, et al.
Published: (2026)

Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review
by: Mangayarkarasi Ramaiah, et al.
Published: (2025)

Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues
by: Renzo Alva Principe, et al.
Published: (2025)

Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity
by: S. Kumar Reddy Mallidi, et al.
Published: (2026)

Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges
by: Dhanashree Vipul Yevle, et al.
Published: (2025)

A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
by: Neethu M S, et al.
Published: (2025)

Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions
by: Himanshu Sharma, et al.
Published: (2026)

Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight
by: Megha Khandelwal, et al.
Published: (2025)

Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing
by: S. Kumar Reddy Mallidi, et al.
Published: (2025)

A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems
by: Chenlong Liu, et al.
Published: (2026)

A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images
by: Sharmila Vijaya Pandian, et al.
Published: (2025)

A Systematic Review of Movement Tracking for Real‐Time Monitoring of Physical Exercises in the Gym
by: Sahil Bhadane, et al.
Published: (2025)

Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges
by: Petter Kvalvik, et al.
Published: (2026)

Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions
by: Abdul Aziz Noor, et al.
Published: (2025)

Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review
by: Keerthi Gabbi Reddy, et al.
Published: (2025)

A Review on Medical Image Segmentation: Datasets, Technical Models, Challenges and Solutions
by: Hong‐Seng Gan, et al.
Published: (2025)

A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges
by: Yongkang Li, et al.
Published: (2025)

From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges
by: Anna Saranti, et al.
Published: (2024)

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions
by: Abdul Ahad, et al.
Published: (2026)

Statistical and Machine Learning Approaches for Electrical Energy Forecasting
by: Solange Machado, et al.
Published: (2025)

Dimensionality Reduction for Data Analysis With Quantum Feature Learning
by: Shyam R. Sihare
Published: (2024)

A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection
by: Taiwo Kolajo, et al.
Published: (2024)

Harnessing Earth Observation and Machine Learning for Sustainable Development Goals
by: Touqeer Abbas, et al.
Published: (2025)

XAI ‐Guided Continual Learning: Rationale, Methods, and Future Directions
by: Michela Proietti, et al.
Published: (2025)

Speech Emotion Recognition Using Transfer Learning: A Comparative Study
by: Yunus Korkmaz
Published: (2026)

Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
by: Simi Job, et al.
Published: (2025)

Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review
by: Anushka Batte, et al.
Published: (2025)

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
by: Amir Mashmool, et al.
Published: (2026)

Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis
by: S. Tamilselvan, et al.
Published: (2024)

A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions
by: M. Z. Naser
Published: (2025)

Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
by: Jon Vadillo, et al.
Published: (2024)

Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development
by: Itzik David, et al.
Published: (2024)

Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
by: Akansha Singh, et al.
Published: (2025)

A Survey on Medical Document Summarization: From Machine Learning Techniques to Large Language Models
by: Akash Ghosh, et al.
Published: (2025)

Recommender Systems: Taxonomy, Applications and Current Research Trends
by: Daniel Ranchal‐Parrado, et al.
Published: (2026)

Knowledge Graphs and Critical Infrastructures: Friends or Foes?
by: José Miguel Blanco, et al.
Published: (2026)

Combating Digital Deception: A Taxonomical and Systematic Review of Deepfake Detection Approaches
by: Pratishtha Gupta, et al.
Published: (2026)

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review
by: Muhammad Deedahwar Mazhar Qureshi, et al.
Published: (2026)

The Evolving Landscape of Modern Regression: A Systematic Review and Mapping Study of Penalized, Algorithmic, and Interpretable Models
by: Michael Bendersky, et al.
Published: (2026)

Quantum Frontiers in the Battle for Information Integrity
by: Vincenzo Loia, et al.
Published: (2026)