EARTH OBSERVATION · REMOTE SENSING · GEOAI

Turn satellite imagery into operational intelligence.

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.

Open data discovery · Commercial imagery · RS Model Builder · Python Studio · GeoAI
Satellite FinderAOI · date · cloud · mission
GeoAI ProcessingImagery → model → monitoring layer
50+ RS workflowspreprocessing · indices · texture · classification · modeling
Open satellite catalogLandsat · Sentinel family
Commercial imagerySAR · multispectral · hyperspectral options
Advanced = RS + GISfull iT Sensing plus GISCollab workspace
One connected EO workspace

A focused remote sensing workflow, not just a map viewer.

Search, process, model and interpret Earth observation data in one project-aware environment.

Satellite Finder

Search imagery by AOI, date, cloud cover, resolution and sensor category, then review scene footprints before acquisition.

AOI searchScene footprintMy Data

Spectral & Raster Analysis

Run spectral indices, raster math, band operations, texture, terrain and statistical workflows on cloud imagery.

IndicesGLCMRaster math
ML

Machine Learning

Build supervised, unsupervised and regression workflows for land cover, environmental variables and monitoring targets.

ClassificationRegressionValidation
AI

GeoAI

Run model-driven geospatial analysis and turn remote sensing imagery into reusable prediction and monitoring layers.

InferenceSegmentationPrediction
RS

RS Model Builder

Connect preprocessing, analysis and modeling nodes into repeatable visual workflows without rebuilding the same process every time.

Visual nodesReusable modelAutomation
Py

Python Studio

Move beyond predefined tools with a controlled Python workspace for custom raster processing, experiments and scientific workflows.

PythonProject layersCustom workflow
Satellite Data Catalog

Open data for everyday work. Commercial data when the project needs more.

Start with globally available open missions, then extend the same workflow to premium Earth observation data.

OPEN CATALOG

Free Landsat & Sentinel discovery

Search and work with open Earth observation datasets for routine monitoring, prototyping, research and operational analysis.

LandsatLong-term multispectral archive
Sentinel-2Optical multispectral monitoring
Sentinel-1Radar observation workflows
COMMERCIAL CATALOG

Higher capability imagery when required

Commercial catalog workflows are available for projects that require different sensing modes, spectral detail, or acquisition characteristics.

SARCommercial radar options
MultispectralPremium optical imagery
HyperspectralHigher spectral-detail options
Remote Sensing Engine

50+ tools across preprocessing, analysis, ML and GeoAI.

The public toolbox is organized by workflow so analysts can move from raw imagery to scientific and operational outputs.

PreprocessingPrepare analysis-ready imagery.
  • Clip, mask, reprojection
  • Resampling and alignment
  • Band stacking and mosaics
  • Radiometric / display preparation
Spectral AnalysisExtract spectral information.
  • Vegetation indices
  • Water / moisture indices
  • Built-up / soil indices
  • Custom raster formulas
Texture & FeaturesAdd spatial context.
  • GLCM family
  • Neighborhood statistics
  • Feature stacks
  • Derived predictors
ClassificationCreate thematic outputs.
  • Supervised classification
  • Unsupervised clustering
  • Training samples
  • Accuracy assessment
Machine LearningFit predictive models.
  • Random Forest workflows
  • SVM / nearest-neighbour
  • Regression modeling
  • Train / validate / predict
GeoAIModel-driven geospatial intelligence.
  • Raster inference
  • Segmentation workflows
  • Prediction layers
  • Reusable AI pipelines
RS Model BuilderVisual reusable workflows.
  • Chain analysis nodes
  • Project-aware inputs
  • Reusable configurations
  • Batch-style workflows
Python StudioCustom scientific processing.
  • Python raster workspace
  • Custom algorithms
  • Project layer access
  • Prototype advanced methods
Connected workflow

From imagery discovery to monitoring layer.

iT Sensing keeps satellite acquisition, analysis, model execution and final raster outputs under one project context.

1
Define AOIChoose the area that needs to be monitored.
2
Find imagerySearch open or commercial data.
3
Prepare imageryClip, stack, align and transform.
4
Analyze / ModelRS tools, ML, GeoAI or Python.
5
DeliverPublish analysis-ready monitoring outputs.
Simple annual pricing

Start with Remote Sensing. Add the complete GIS workspace at Advanced.

All plans use the same iT Sensing workflow. Advanced extends the workspace with the complete GIS capabilities of GISCollab.

Free Trial

Explore iT Sensing for 15 days before choosing a paid workspace.
$0/ 15 days
15-DAY FREE TRIAL
Cloud storage1 GB
Projects5
Collaborators3
  • Satellite Finder
  • Landsat & Sentinel catalog
  • Core raster visualization
  • Basic RS analysis
  • Project workspace
Start 15-Day Trial

Starter

For individual analysts and small monitoring teams.
$29/ year
FULL REMOTE SENSING
Cloud storage15 GB
ProjectsUnlimited
Collaborators5
  • Everything in Free
  • Spectral & texture tools
  • Raster preprocessing
  • Classification workflows
  • Commercial catalog access
Choose Starter

Advanced

For organizations that need both complete Remote Sensing and complete GIS collaboration.
$299/ year
REMOTE SENSING + FULL GIS
Cloud storage150 GB
ProjectsUnlimited
Collaborators20
  • Everything in Standard
  • Complete GISCollab GIS workspace
  • 100+ GIS analysis workflows
  • GIS Model Builder & PostGIS tools
  • GIS Survey Mobile collaboration
Choose Advanced
Free Trial / StarterCore and full Remote Sensing workflows for individual users and small teams.
StandardAdvanced RS with Machine Learning, GeoAI, RS Model Builder and Python Studio.
AdvancedEverything in iT Sensing plus the complete GIS workspace from GISCollab.

Cloud Credits for premium data and heavy processing

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.

Need more?Custom storage, collaborators, data access or processing capacity.
Contact us
Use Cases

Earth observation for repeatable operational monitoring.

Use the same platform across sectors without rebuilding the imagery-to-analysis workflow.

AgricultureVegetation condition, crop variability, moisture and field monitoring.
ForestryCanopy, land-cover change, disturbance and biomass-related analysis.
Mining & EnergySite monitoring, land change, infrastructure and environmental observation.
Government & EnvironmentRegional monitoring, land use, hazards, water and policy-support mapping.
Frequently Asked Questions

What to know before choosing a plan.

The open-data workflow highlights Landsat and Sentinel missions. Commercial catalog workflows are available for SAR, multispectral and hyperspectral imagery where suitable products are available.
Advanced includes the complete iT Sensing Remote Sensing workspace plus the full GIS workspace from GISCollab, including GIS analysis, collaboration, GIS Model Builder and related GIS capabilities.
Cloud Credits are separate from the annual subscription and are intended for variable-cost services such as commercial imagery, larger GeoAI processing and compute-intensive analysis.
Standard and Advanced highlight Python Studio for custom scientific raster workflows when predefined tools are not enough.
Yes. Organizations needing more storage, collaborators, commercial data capacity or processing can request a custom configuration.

Build your next Earth observation workflow in the cloud.

Start with open satellite data, then scale into premium imagery, GeoAI and full GIS when the project grows.

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