Disaster Risk Monitoring - entropy evaluation

Entropy-based system analyzes satellite data to detect and predict disaster risks in real time

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  • Romania

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  • Challenge #3: Disaster risk monitoring​

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Description

Github Repo: Disaster Risk Monitoring - Entropy Evaluation


Project Summary technical

Software: 

CDSE, OpenEO - APIs

OpenEO Python Client, NumPY, Rasterio, OpenCV, FastAPI, Pydantic, Uvicorn - SDKs

Hardware:

ESP32CAM, Raspberry Pi Zero W, LilYGo TTGO T-Beam 

Data: 

Copernicus, Sentinel 2L2A band B04, B08, NDVI Score, Shannon Entropy analysis, temporal variance



WHO WE ARE? 

Eliana Gabriela Postolache – leads the team by ensuring strong coordination, clear direction, and effective problem-solving, while also contributing to the development and management of CI/CD pipelines.

Anastasia Ciobanu – heads the software development, managing the technical implementation and system infrastructure.

Ștefan Alin Speteanu – is responsible for the hardware side, focusing on embedded systems and overall system integration.

Selin Birinci – supports the hardware development by contributing to system design, data analysis, and technical research.

Mihai Iulia Florentina – leads the creative direction, shaping the project’s presentation through storytelling, design, and pitch development.


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