Satellite Data-based Flood Forecast Web App
Budget: €3,000 – €5,000 EUR
I am seeking an experienced developer to create a web application that retrieves satellite data from the European Union's Copernicus system and utilizes it to forecast flood probabilities across Europe. The application should display this data on an interactive map, highlighting regions at high risk of flooding over the coming period.
Requirements:
Data Collection:
Integration and processing of satellite data from the Copernicus open-access resources (e.g., water level, soil moisture, and other flood-relevant data).
Real-time or near-real-time data acquisition through available APIs or other methods.
Data Analysis:
Implement algorithms to analyze data and generate flood risk forecasts.
Integration with flood forecasting models, either existing ones or custom-built, to provide accurate predictions.
Web Interface:
Interactive map displaying flood risk levels across Europe (low, medium, high).
Users should be able to click on specific regions for detailed flood forecast information and data sources used for the prediction.
Automated Updates:
The platform should automatically update with new data from Copernicus, ensuring predictions are always current.
Technical Requirements:
Familiarity with the Copernicus Open Access Hub and satellite data handling.
Experience in web development technologies (such as JavaScript, Python, Django or Flask for the backend, and Leaflet or Mapbox for mapping).
Data analysis skills and proficiency with machine learning tools if needed.
If you have experience in this area, please send your resume and examples of similar projects you have worked on.
The application should support user accounts with login functionality, allowing personalized settings and saved data. The application should utilize existing flood forecasting models available from reputable sources. Include an email notification system for users to receive updates on flood forecasts. Users will receive flood forecast updates via email daily. The interactive map should display flood risk levels at the city level. The project should be completed within 1-3 months. Provide basic statistics such as predicted water levels and historical flood data. The application will primarily use the Copernicus Open Access Hub for real-time data acquisition. The application should provide flood forecasts for all European countries. Include predictive analytics dashboards to visualize trends and predictions.
Requirements:
Data Collection:
Integration and processing of satellite data from the Copernicus open-access resources (e.g., water level, soil moisture, and other flood-relevant data).
Real-time or near-real-time data acquisition through available APIs or other methods.
Data Analysis:
Implement algorithms to analyze data and generate flood risk forecasts.
Integration with flood forecasting models, either existing ones or custom-built, to provide accurate predictions.
Web Interface:
Interactive map displaying flood risk levels across Europe (low, medium, high).
Users should be able to click on specific regions for detailed flood forecast information and data sources used for the prediction.
Automated Updates:
The platform should automatically update with new data from Copernicus, ensuring predictions are always current.
Technical Requirements:
Familiarity with the Copernicus Open Access Hub and satellite data handling.
Experience in web development technologies (such as JavaScript, Python, Django or Flask for the backend, and Leaflet or Mapbox for mapping).
Data analysis skills and proficiency with machine learning tools if needed.
If you have experience in this area, please send your resume and examples of similar projects you have worked on.
The application should support user accounts with login functionality, allowing personalized settings and saved data. The application should utilize existing flood forecasting models available from reputable sources. Include an email notification system for users to receive updates on flood forecasts. Users will receive flood forecast updates via email daily. The interactive map should display flood risk levels at the city level. The project should be completed within 1-3 months. Provide basic statistics such as predicted water levels and historical flood data. The application will primarily use the Copernicus Open Access Hub for real-time data acquisition. The application should provide flood forecasts for all European countries. Include predictive analytics dashboards to visualize trends and predictions.