Free Trial
- Satellite Finder
- Landsat & Sentinel catalog
- Core raster visualization
- Basic RS analysis
- Project workspace
Discover open and commercial Earth observation data, process imagery with cloud Remote Sensing tools, build machine-learning and GeoAI workflows, and deliver monitoring-ready results without assembling a separate desktop processing stack.
Search, process, model and interpret Earth observation data in one project-aware environment.
Search imagery by AOI, date, cloud cover, resolution and sensor category, then review scene footprints before acquisition.
Run spectral indices, raster math, band operations, texture, terrain and statistical workflows on cloud imagery.
Build supervised, unsupervised and regression workflows for land cover, environmental variables and monitoring targets.
Run model-driven geospatial analysis and turn remote sensing imagery into reusable prediction and monitoring layers.
Connect preprocessing, analysis and modeling nodes into repeatable visual workflows without rebuilding the same process every time.
Move beyond predefined tools with a controlled Python workspace for custom raster processing, experiments and scientific workflows.
Start with globally available open missions, then extend the same workflow to premium Earth observation data.
Search and work with open Earth observation datasets for routine monitoring, prototyping, research and operational analysis.
Commercial catalog workflows are available for projects that require different sensing modes, spectral detail, or acquisition characteristics.
The public toolbox is organized by workflow so analysts can move from raw imagery to scientific and operational outputs.
iT Sensing keeps satellite acquisition, analysis, model execution and final raster outputs under one project context.
All plans use the same iT Sensing workflow. Advanced extends the workspace with the complete GIS capabilities of GISCollab.
Your subscription defines workspace capacity. Cloud Credits are separate and can be used for commercial imagery purchases, larger GeoAI jobs and compute-intensive processing. This keeps normal annual plans predictable while high-cost tasks remain pay-as-you-use.
Use the same platform across sectors without rebuilding the imagery-to-analysis workflow.
Start with open satellite data, then scale into premium imagery, GeoAI and full GIS when the project grows.