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Satellite Imagery Intelligence & Multispectral Analysis

Optical, multispectral and SAR satellite data combined with AI and machine learning to deliver scalable geospatial intelligence anywhere on Earth.

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Overview

Wide-Area Intelligence From Orbit

AAMS delivers advanced satellite imagery intelligence and multispectral analysis globally, combining high-resolution optical, multispectral, and SAR data with AI and machine learning. We source imagery from more than twenty leading commercial and government satellite missions and select the right sensor, resolution and revisit rate for every project.

Our analysts apply machine learning to classify land cover, calculate vegetation and water indices, detect change over time and model flood extent, even under cloud cover. Integrated with UAV, LiDAR and ground survey data, our satellite analytics give governments, infrastructure owners, utilities and environmental programs scalable geospatial intelligence across Saudi Arabia, the Middle East and beyond.

Enquire Now Explore capabilities ↓
  • Very-high-resolution optical
  • Multispectral
  • Synthetic aperture radar (SAR)
  • Optical video
  • Digital elevation models
  • Machine learning classification
  • Change detection
  • Flood modelling

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Optical resolution from very-high-resolution satellites

20+

Commercial and government satellite missions sourced

SAR

All-weather, day and night radar imaging

Global

Coverage for remote and cross-border projects

What we deliver

Core Capabilities

Optical, radar and video sensors, processed through AI and machine learning workflows, so every project gets the right resolution, revisit and analysis.

01 / Optical

Very-High-Resolution Optical & Multispectral Imagery

We supply sub-meter optical imagery from leading very-high-resolution satellites including WorldView, Pleiades, SuperView, KompSAT, SkySat and Gaofen, alongside medium-resolution missions such as SPOT, Sentinel, Landsat and Planet for wider coverage and frequent revisits.

Multispectral bands go beyond what the eye can see. We use them to calculate vegetation and water indices, assess crop and habitat health, map soil moisture and identify surface materials, turning raw imagery into measurable indicators for planning, agriculture and environmental monitoring.

  • Sub-meter optical
  • Multispectral bands
  • NDVI & water indices
  • Archive & new tasking
Satellite imagery of a lake and surrounding agricultural land used for multispectral analysis Multispectral imagery
02 / Radar

SAR Imaging Through Cloud, Dust & Darkness

Synthetic aperture radar (SAR) satellites such as Capella, ICEYE, TerraSAR-X, RADARSAT and Sentinel-1 capture imagery day or night and through cloud, haze and dust. That makes SAR the dependable choice when optical satellites cannot see the ground, or when monitoring must continue without interruption.

We use SAR for ground and infrastructure deformation monitoring, flood and inundation mapping, maritime and coastal surveillance, and detecting objects and change across large or inaccessible areas.

  • All-weather capture
  • Day or night
  • Deformation monitoring
  • Maritime surveillance
Radar satellite in orbit above Earth collecting synthetic aperture radar imagery SAR satellite
03 / GeoAI

AI Land Cover Classification & Change Detection

Machine learning models trained on regional conditions classify land cover, built-up areas, vegetation, water and bare ground automatically across thousands of square kilometers. Repeated over time, the same models flag new construction, encroachment, land degradation and infrastructure change for fast, consistent reporting.

Outputs are delivered as GIS-ready layers and dashboards that slot straight into municipal, utility and environmental planning systems, giving decision-makers current, evidence-based views of what is happening on the ground.

  • Land cover maps
  • Automated change detection
  • Urban growth monitoring
  • GIS-ready layers
High-resolution satellite view of an urban district used for land cover classification Change detection
04 / Hydrology

AI-Driven Flood Modelling & Impact Assessment

By combining satellite-derived elevation models with SAR flood mapping and AI, we model flood extent, depth and risk, then assess the impact on roads, buildings, utilities and agricultural land. Because radar sees through cloud, we can map active flood events while they are still unfolding.

Flood intelligence supports emergency response, insurance and damage assessment, drainage and infrastructure design, and long-term resilience planning for cities and wadi catchments.

  • Flood extent mapping
  • Elevation models
  • Damage assessment
  • Resilience planning
Color-coded digital elevation model showing terrain and drainage for flood modelling Flood modelling

Applications

Where AAMS Delivers Value

Satellite intelligence scales from a single site to an entire country, giving decision-makers a consistent, up-to-date picture of the ground.

  1. 01

    Urban Planning & Smart Cities

    Land use mapping, urban growth monitoring and infrastructure inventories that feed municipal planning and smart city platforms.

  2. 02

    Environmental Monitoring

    Vegetation health, desertification, mangrove and coastal habitat tracking using multispectral indices and time-series analysis.

  3. 03

    Agriculture & Water Resources

    Crop health, irrigation performance and water body monitoring to support food security and resource management.

  4. 04

    Disaster Response & Flood Risk

    Rapid flood extent mapping, damage assessment and recovery monitoring, including under cloud cover with SAR.

  5. 05

    Infrastructure & Utilities

    Corridor monitoring, encroachment detection and ground deformation tracking along pipelines, power lines, roads and rail.

  6. 06

    Mining & Natural Resources

    Regional exploration mapping, site development tracking and environmental compliance monitoring.

  7. 07

    Maritime & Coastal Surveillance

    Shoreline change, port development and vessel detection along coastlines and offshore areas.

  8. 08

    Digital Elevation Models

    Satellite-derived terrain models for regional planning, hydrology and preliminary engineering studies.

FAQ

Satellite Imagery Questions, Answered

Not sure which approach suits your project? Our team can recommend the right method, equipment and deliverables.

What is the difference between satellite imagery and aerial imagery?

Satellite imagery covers very large areas quickly and can be captured anywhere without flight permissions, making it ideal for regional mapping, monitoring and change detection. Aerial imagery from aircraft and drones offers higher resolution and accuracy for engineering-grade mapping. Many projects combine both. Read our guide to satellite imagery vs aerial imagery.

What is multispectral analysis used for?

Multispectral sensors record light in bands beyond the visible spectrum, such as near-infrared. We use these bands to calculate indices like NDVI for vegetation health and water indices for mapping water bodies and moisture, supporting agriculture, environmental monitoring and land management.

Can satellites capture imagery through clouds?

Optical satellites cannot see through cloud, but synthetic aperture radar (SAR) satellites can. SAR captures imagery day or night in almost any weather, which is why we use it for flood mapping and continuous monitoring when optical imagery is unavailable.

How does AI improve satellite image analysis?

Machine learning models classify land cover, extract features and detect change automatically across very large areas. This turns imagery into consistent, measurable layers far faster than manual interpretation, and makes repeated monitoring practical at a regional or national scale.

What resolution satellite imagery can AAMS provide?

We source optical imagery at sub-meter resolution from very-high-resolution satellites, as well as medium-resolution imagery for wider coverage and frequent revisits. The right resolution depends on the features you need to detect and the size of your area of interest.

Can satellite data be combined with drone and LiDAR surveys?

Yes. We integrate satellite analytics with UAV, airborne LiDAR and ground survey data, using satellites for wide-area context and monitoring and higher-resolution methods where engineering accuracy is required. See our aerial mapping and LiDAR survey services.

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