Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring
- 1st Edition - September 1, 2026
- Latest edition
- Editors: Uzair Aslam Bhatti, Sibghat Ullah Bazai, Muhammad Aamir
- Language: English
Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring offers a comprehensive exploration of cutting-edge remote sensing technologies for the effective monito… Read more
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- Offers a comprehensive overview of remote sensing technologies, including satellite imagery, UAV systems, and hyperspectral sensing, for monitoring blue carbon ecosystems
- Provides practical approaches and tools for assessing ecosystem health, supporting conservation, and informing management strategies
- Includes case studies from around the world that illustrate successful applications of remote sensing techniques in coastal ecosystem monitoring and pollution assessment
1. Introduction to Blue Carbon Ecosystems
2. Emerging Contaminants in Coastal Ecosystems
3. Foundations of Remote Sensing for Coastal Ecosystem
4. Monitoring Geographic Ecological Land Processing
Part II: Mapping and Monitoring Blue Carbon Ecosystems
5. UAV and Drone-Based Remote Sensing for Coastal Contaminant Monitoring
6. Remote Sensing Data Collection Methods in Mangrove Ecosystems
7. Remote Sensing Applications in Mangrove & Blue Carbon Monitoring
8. Environmental Monitoring Using Spatio-temporal Patterns of Contaminants
9. Impact of Emerging Contaminants on Mangrove Ecosystems
10. Intelligent Deep Learning Methods for Ecological Land-change Monitoring
11. Segmentation Models in Agricultural Image Classification
12. Geospatial Data Integration for Coastal Ecosystems
13. Case Studies in Mangrove Monitoring Using Remote Sensing
14. Monitoring Coastal Ecosystem Health with UAVs & Drones
15. Challenges in Remote Sensing of Coastal Ecosystems
Part III: Quantifying Carbon and Verifying Impact
16. Blue Carbon Sequestration in Mangroves
Part IV: Future Horizons and Global Impact
17. Emerging Trends & Technologies in Remote Sensing
18. Future Directions in Mangrove & Blue Carbon Monitoring
- Edition: 1
- Latest edition
- Published: September 1, 2026
- Language: English
UB
Uzair Aslam Bhatti
Uzair Aslam Bhatti has focused his research on applying machine learning to medical and signal processing problems, with a strong interest in the broader applications of artificial intelligence. He has published nearly 60 academic papers, more than 50 of which are indexed in SCI and EI. During his PhD at Hainan University, he received two Best Research Paper Awards and a Chinese Government Scholarship.
As a Postdoctoral Researcher at the School of Geography (Remote Sensing and Signal Processing), Nanjing Normal University, he published 11 papers in two years as first author (9 SCI journals and 2 conference papers), including articles in leading SCI journals such as IEEE Transactions on Geoscience and Remote Sensing (IF 8.1) and Chemosphere (IF 9.1). His contributions, including 10 SCI papers and two CCF B-level conference papers as first author, earned him recognition as an Excellent Postdoctoral Candidate by Nanjing Normal University.
He has also participated in major projects funded by the National Natural Science Foundation of China, the National Key R&D Program, and the Hainan Provincial Major Science and Technology Program.
SB
Sibghat Ullah Bazai
MA