Advanced Environmental Forecasting Using Satellite Data

Overview:
We are looking for developers to build predictive models for forest fire prediction, vegetation decline, and urban heat island analysis using data from Sentinel satellites. Urgent need for backend development, followed by frontend integration and report generation.

Objectives:

1) Predict forest fires.
2) Monitor vegetation decline.
3) Analyze urban heat islands.

Data Sources:
Sentinel satellite multispectral images (temperature, moisture, vegetation).
For archive data of Sentinal Satellite:- https://bhoonidhi.nrsc.gov.in/bhoonidhi/index.html#

Tools & Technologies:
Rasterio, Python, Flask/Django, PostgreSQL/PostGIS

Optional:
Orbitron, wxtoimg, AirSpy

Project Phases:

Backend Development (3 days): API creation, data processing.
Frontend & Integration: Post-backend.
Report Generation: Detailed analysis and visualizations.

Skills Required:
Backend (Python, Flask/Django), geospatial data processing, frontend (React.js/Angular), machine learning, and report writing.

Budget: Negotiable.

Contact:
Please share your portfolio and relevant experience.