Near real-time flood mapping is performed using data from satellites such as Sentinel-1, Sentinel-2, Landsat, and PlanetScope. This method allows for the timely monitoring and mapping of floods, enabling early detection and response efforts.
We can cost-effectively process years of satellite imagery, specifically Sentinel-1 data collected from 2015, using Google Cloud Scalable processors. This enables accurate flood inundation predictions and early detection of potential flooding, benefiting communities, businesses, and governments.
We are currently creating a customized chatbot using the Chat-GPT-2 model for a specific application. Our fine-tuning process involves incorporating domain-specific tokens and training data to enhance the model's performance. The chatbot will generate specialized text that provides valuable insights for decision-makers and stakeholders and disseminate critical information to the general public.
Hard work since 2000
Ready to provide solution and community based work flows
Real time flood mapping and energy solutions
New financial model for phase two expansions
We innovate new Technologies
Enable informed decision-making using geospatial data, scalable remote sensing, and a cloud-based computing platform for modeling, all powered by AI-enabled analytics.