AI + GIS
Exploring AI + GIS
We explore the integration of AI and geospatial technology in remote sensing, ecological forecasting and data services. The following are research and application directions; available capabilities, suitable datasets and validation methods are assessed for each project.
Explore five raster layers
Elevation, near infrared, vegetation, moisture and surface temperature.
The 3D raster view is unavailable on this device. Data is synthetic and illustrative.
AI-assisted remote sensing interpretation
Explore deep-learning approaches to land-cover classification, change detection and object extraction, assisting human interpretation and improving the efficiency and consistency of large-area, multi-temporal analysis.
Ecological assessment and forecasting
Combine long-term remote sensing and ground observations to explore ecological quality assessment and trend forecasting for environmental monitoring and spatial planning.
Intelligent spatiotemporal analysis
Explore spatiotemporal representation learning and relationship discovery across heterogeneous datasets to support regional simulation and scenario analysis.
Intelligent data search and Q&A
Explore language-model capabilities for natural-language data discovery, metadata understanding and usage guidance, making scientific data easier to access.