🌍 New YouTube Video Alert: Detecting Oil Spills Using SAR Data! 🛢️✨

I’m excited to share my latest video on Space Remote Sensing and GIS, where I demonstrate how to detect and map oil spills using SAR data with the ESA SNAP Sentinel-1 Toolbox and ArcGIS Pro.

🎥 In this video, I guide you through:
✅ Preprocessing SAR Data: Steps like radiometric calibration, speckle filtering, and terrain correction.
✅ Oil Spill Detection: Applying thresholding techniques to distinguish oil spill areas from clean water.
✅ Vector File Extraction: Exporting the results as shapefiles for further analysis and visualization in ArcGIS Pro.

Scientific Process Overview:

Understand SAR Backscatter: Oil spills appear as dark patches due to reduced backscatter caused by their smoothing effect on water surface waves.
Preprocessing: Correcting the raw Sentinel-1 data for precise analysis.
Thresholding & Segmentation: Differentiating oil spill regions based on intensity levels.
Vectorization: Converting the detected oil spill areas into a vector format for GIS applications.
💡 Whether you’re a GIS enthusiast, an environmentalist, or someone curious about the power of satellite data in addressing environmental challenges, this video is packed with actionable insights.

🔗 Watch the full video here.
📌 Don’t forget to like, comment, and subscribe to Space Remote Sensing and GIS for more cutting-edge geospatial tutorials!

Let’s explore how technology and remote sensing can help tackle environmental issues like oil spills. 🌿💻

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