The spatial intelligence layer of MAGNET4WATER. See the system, build the data model, then simulate. Federated access to 145+ provider domains, 530+ service endpoints, 17K+ unique layers (73K+ layer records) — plus 3D site characterization powered by VTK and Cesium. Site characterization is the first model: the act of selecting, fusing, rendering, and interpreting data is already a defensible understanding of the system, before any physics model runs.
Open by design. DataNET federates thousands of live geospatial layers across 530+ endpoints from 145+ providers — USGS, NASA, NOAA, ESA, USDA, EPA, BGS, IGRAC, MRLC, Stanford, Cornell CUGIR, VLIZ, and many more — through standard protocols (WMS, WFS, WCS, OGC API, ArcGIS REST).
Metadata as a first-class citizen. Every layer carries sources, abstracts, resolution, limitations, versions, publishers, references, and search keywords — because raw data without provenance isn't usable for serious work.
Your data stays yours. Bring your own data via your GeoServer node; it stays on your infrastructure. Transfer any data → any model → any field with one click. Nothing is locked in.
Each DataNET site / watershed / portfolio is configured to the specific needs of the user - in terms of water domain(s), modeling requirements, data availablility, etc. Complete documentation is included with a DataNET purchase order, including Quick Tutorials for first time tasks, and Realtime Help for per-element reference as you build.
Step-by-step walkthroughs — from finding layers in the Data Library to building a complete data-enabled groundwater model. Includes the end-to-end DataNET-based Groundwater Model example (Maple Creek, ND) showing flexible data routing, federation, and USGS 3DEP LiDAR capability.
Realtime Help is more than a reference library — it's the knowledge layer of the platform. Modeling concepts, governing science, numerical methods, per-element operational help, visualization guidance, and the foundational engine references — organized hierarchically so you can stop at any depth and still have what you need. Especially deep on federated data access patterns, GIS protocols, metadata standards, site characterization workflows, and VTK/Cesium 3D fusion.