Maiti et al. (2026) Deep Learning-Driven Water Body Mapping Using Yolo Framework

Identification

• Journal: Lecture notes in networks and systems
• Year: 2026
• Date: 2026-01-01
• Authors: Mayank Maiti, Sita Devi Bharatula, B. Naresh Kumar Reddy
• DOI: 10.1007/978-3-032-14194-1_9

Research Groups

• Department of ECE, Amrita Vishwa Vidyapeetham Chennai Campus, Vengal, India
• Department of ECE, NIT Tiruchirappalli, Tiruchirappalli, Tamil Nadu, India

Short Summary

This study develops an automated, deep learning-driven method using YOLO segmentation models and Sentinel satellite imagery to detect, assess, and monitor urban water bodies, particularly in water-stressed cities like Chennai, for effective water management.

Objective

• To automate the detection and assessment of lakes and reservoirs using satellite images and deep learning to provide timely, inexpensive, and continuous water body monitoring for effective water management and resource allocation.

Study Configuration

• Spatial Scale: Urban areas (e.g., Chennai, India); regional water bodies (lakes, reservoirs).
• Temporal Scale: Continuous and real-time monitoring.

Methodology and Data

• Models used: YOLO segmentation models (advanced YOLO segmentation models).
• Data sources: Satellite images from Sentinel-1 and Sentinel-2.

Main Results

• The developed YOLO segmentation model achieves high speed and accurate results for water body segmentation.
• The method enables the measurement of segmented water body areas using pixel values and aspect ratios from satellite images.

Contributions

• Presents a novel, reusable, and relatively inexpensive technique for continuous water body monitoring.
• Enhances real-time environmental monitoring to aid governments and stakeholders in addressing water scarcity and associated risks.
• Offers an effective and timely solution compared to existing expensive and less efficient approaches for water body tracking.

Funding

• Not explicitly mentioned in the provided text.

Citation

@article{Maiti2026Deep,
  author = {Maiti, Mayank and Bharatula, Sita Devi and Reddy, B. Naresh Kumar},
  title = {Deep Learning-Driven Water Body Mapping Using Yolo Framework},
  journal = {Lecture notes in networks and systems},
  year = {2026},
  doi = {10.1007/978-3-032-14194-1_9},
  url = {https://doi.org/10.1007/978-3-032-14194-1_9}
}