Workshop: Unlocking the Power of Satellite Data with Deep Learning

*** Lunch should be taken care by the attendee ***

In this workshop, we dive deep into the world of satellite data and its vast potential. From environmental monitoring to urban planning and disaster response, satellite imagery has become a critical tool in various industries. This hands-on workshop will focus on leveraging deep learning models to analyze satellite data effectively.

1. Introduction to Satellite Data (20 mins)

• Overview of satellite imagery (optical, SAR, multispectral, etc.).
• Applications of satellite data across industries.

2. Basics of Deep Learning for Satellite Data (30 mins)

• Introduction to convolutional neural networks (CNNs) for image analysis.
• Popular frameworks and tools: TensorFlow, PyTorch.
• Pre-trained models and transfer learning.

3. Hands-on Session: Building a Satellite Data Classifier (60 mins)

• Dataset preparation (e.g., from Sentinel-2 or Landsat).
• Annotating and preprocessing satellite images.
• Training a CNN model to identify land cover types.

4. Advanced Techniques (45 mins)

• Semantic segmentation with U-Net for change detection.
• Object detection models (YOLO, Faster R-CNN) for infrastructure analysis.
• Time-series analysis using recurrent networks (LSTMs).

5. Use Case Discussion and Challenges (30 mins)

• Real-world projects leveraging satellite data and AI.
• Challenges in satellite data analysis (e.g., resolution, cloud cover).

6. Q&A and Closing Remarks (15 mins)

• Open floor for questions and discussions.
• Networking and resource sharing.

#### Who Should Attend:

• Data scientists and AI enthusiasts interested in remote sensing.
• Professionals in geospatial, environmental, and urban planning sectors.
• Students and researchers looking to explore AI applications in satellite data.