Field Boundary Detection in Satellite Imagery Using the SAM2 Model | by Mahyar Aboutalebi, Ph.D. ๐ŸŽ“ | Nov, 2024

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Step-by-Step Tutorial on Applying Segment Anything Model Version 2 to Satellite Imagery for Detecting and Exporting Field Boundaries in Agricultural Areas

  1. ๐ŸŒŸ Introduction
  2. ๐Ÿท๏ธ Segment Anything Model
  3. ๐Ÿš€ Setup Google Colab
  4. ๐Ÿ›ฐ๏ธ Load Clear Sentinel-2 Images
  5. ๐ŸŒ Apply SAM2 on Sentinel-2 Images
  6. ๐Ÿ“„ Conclusion
  7. ๐Ÿ“š References

๐ŸŒŸ Introduction

Manually drawing field boundaries is one of the most time-consuming tasks, and its accuracy depends on the performance of the person doing it. However, accurate boundary detection has applications in many areas. For example, letโ€™s assume you want to train a machine learning algorithm to analyze the relationship between vegetation indices from satellite images and crop yields on a farm. The first input youโ€™ll need is a shapefile of the farm, which typically has to be drawn manually. Drawing one shapefile may only take a few minutes, but what if you need to draw boundaries for 1,000 farms? Thatโ€™s when the process becomes very time consumingโ€ฆ

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