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Click on the Project for the details and description, submit the project documents for each project using the Project Submission Form

Foundation Level (Beginner-Friendly)

1. Urban Heat Island Analysis
Analyze urban heat patterns using satellite thermal imagery and demographic data to identify vulnerable communities and recommend mitigation strategies.

Key Components:

  • Acquire Landsat thermal infrared data from USGS Earth Explorer

  • Process satellite imagery using QGIS or ArcGIS for temperature extraction

  • Overlay demographic data from census sources

  • Create heat vulnerability index combining temperature and social factors

  • Generate interactive web maps using Leaflet or ArcGIS Online

Skills Gained: Satellite image processing, spatial analysis, web mapping, environmental modeling

2. Land Use Change Detection
Monitor and quantify land use changes over time using multi-temporal satellite imagery to assess deforestation, urbanization, or agricultural expansion.

Key Features:

  • Download historical Landsat or Sentinel imagery spanning 10-20 years

  • Perform image classification using supervised machine learning

  • Apply change detection algorithms (post-classification comparison)

  • Quantify changes in different land cover classes

  • Create time-series visualizations and change maps

Skills Gained: Time-series analysis, image classification, change detection, environmental monitoring

Medium Level (Intermediate)

3. Precision Agriculture Monitoring System
Develop a comprehensive crop monitoring system using drone imagery, satellite data, and IoT sensors to optimize agricultural practices.

Key Components:

  • Collect high-resolution drone imagery using multispectral cameras

  • Calculate vegetation indices (NDVI, EVI, SAVI) for crop health assessment

  • Integrate weather data and soil sensors for environmental monitoring

  • Develop prescription maps for variable rate application

  • Create farmer-friendly mobile application for field management

Skills Gained: Precision agriculture, multispectral analysis, mobile app development, sensor integration

4. Flood Risk Assessment and Early Warning System
Build a comprehensive flood risk assessment system using digital elevation models, rainfall data, and hydraulic modeling.

Key Features:

  • Process LiDAR data to create high-resolution digital elevation models

  • Analyze historical rainfall patterns and climate projections

  • Implement hydraulic modeling using HEC-RAS or similar tools

  • Develop real-time monitoring using stream gauge data

  • Create early warning system with automated notifications

Skills Gained: Hydrological modeling, risk assessment, early warning systems, climate data analysis

Expert Level (Advanced)

5. AI-Powered Disaster Response Platform
Create an intelligent disaster response system that uses satellite imagery and machine learning to assess damage and coordinate relief efforts.

Key Components:

  • Implement real-time satellite imagery acquisition and processing

  • Develop deep learning models for damage assessment using CNN architectures

  • Create automated damage mapping and quantification algorithms

  • Build decision support system for resource allocation

  • Integrate with emergency response protocols and communication systems

Skills Gained: Deep learning, disaster management, real-time processing, decision support systems

6. Climate Change Impact Assessment Platform
Develop a comprehensive platform for analyzing climate change impacts using multi-source remote sensing data and climate models.

Key Features:

  • Process long-term satellite datasets (30+ years) for trend analysis

  • Integrate climate model projections with observational data

  • Analyze ecosystem responses to climate variability

  • Develop species distribution models under climate change scenarios

  • Create interactive visualization tools for stakeholder engagement

Skills Gained: Climate science, ecosystem modeling, long-term trend analysis, stakeholder engagement

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