Leading Geospatial Technology

Advanced Geoanalytics Platform

Rezatec has pioneered a class-leading, end-to-end geoanalytics software platform capable of aggregating vast and diverse Big Data sets from multiple sources of satellite, airborne and ground-based remotely sensed information.

Through our unique mapping, measuring and monitoring techniques, high-value data products are output from our proprietary platform to provide critical support for commercial, environmental and social decision-making.

The geographical software platform captures a wide range of landscape characteristics in high spatial and temporal resolution and provides layers of georeferenced information and associated analysis.

Data products including advanced landscape insights are provided to clients via a user-friendly web-based dashboard, uniquely tailored to individual requirements. Access is then permitted on a subscription basis with regular updates and a team of experts to assist in utilising and interpreting the analysis.









Image: Copernicus Sentinel data (2015)/ESA

Platform Features

Data On Demand

On demand geospatial data analysis

  • Secure delivery of geospatial visualisation and data analytics in a portal environment
  • Dynamic update of “map, measure, monitor” analytics driven by area of interest, resolution and time series scope
  • Personalized dashboards to end-user requirements
  • A wide range of pre-processed, high-value data products
  • On demand and scalable, subscription-based access

Flexible Data Analysis

Dynamic predictive analysis

  • Update of landscape change/asset yield models via dynamic observation updates
  • Multi-device data upload & download capabilities
  • Creation of new models and assimilation of existing models

Multiple Data Sources

Processed data leverages all major Earth Observation satellite and airborne sensor types

  • Active: SAR (Sentinel 1) / LiDAR
  • Passive: Multispectral (e.g. Landsat) / Hyperspectral / Thermal
  • Airborne/UAV
  • Ground Observation

Viable Commercial Credentials

Cost-effective and scalable

  • Typically lower cost than traditional ground-based mapping, measuring and monitoring methods
  • Highly scalable across spatial ranges
  • Flexible frequency of updated data
  • Incorporate existing and third party data

Advanced Technology & Techniques


Geospatial Data +

The positional information (imagery and data) captured by remote sensors related to the geographical systems on Earth is known as geospatial data. Although sometimes called Geo-Data or GIS data. The data is then connected to specific coordinates to create georeferenced data that can be used in analysis of very close-scale or vast areas.

Earth Observation +

Earth Observation (EO) can be defined as the gathering of information about planet Earth’s physical, chemical and biological systems using remote sensing technologies such as satellites and aerial sensors supplemented with ground-based observations. It is used to monitor, detect and assess changes in natural and built environments.

Remote Sensing +

Remote Sensing is a term that encompasses the collection of data from sensors that are remotely accessed to enable constant monitoring of the captured information. Recently Earth Observation has become more technologically advanced supporting different remote sensing data acquisition techniques including:

  • Satellite (for example, multispectral data can be used for monitoring and detecting change in vegetation health, and SAR data to measure soil moisture and topography)
  • Aerial and Unmanned Aerial Vehicles (UAVs) (for example, UAVs can be used to measure plant growth through a crop’s growing cycle)
  • Ground observations (for example, smartphone apps are used to collect field data to dynamically verify remote sensing data such as evidence of illegal logging)