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SERVICES

VEDART RS^® EVALUATION TECHNOLOGY

REMOTE SENSING DATA INTERPRETATION

SERVICES

Identification of commercially promising targets using VEDART RS^® technology

Geological Due Diligence
Project audit and evaluation
Planning of geological exploration work
Assessment of solid mineral resources
Inventory counting in accordance with international standards
Feasibility study in accordance with the CRIRSCO standard

ELECTRA HRX — High-resolution electrical prospecting without grounding
Non-contact measurement of an electric field
Probing using the near-field method
Electroencephalography — Impedance method
IP, IP-M, IP-VES, IP-DP — the polarisation method
CBM, CSM — Charging method

Calculation of indices for mineral and rock complexes
Cluster analysis of satellite images
Supervised machine classification
Principal component analysis (PCA)
Geomorphological research and modelling
Analysis of satellite imagery in the thermal spectrum

Remote sensing data interpretation

We can reduce the search area by up to 90% within a short timeframe (from 30 days) using satellite analytics and geospatial analysis of satellite data.

Identifying promising ore zones across vast areas with minimal exploration costs — through the use of satellite data and automated analysis.

As mature mining districts become increasingly depleted, exploration is shifting toward remote regions with complex geological environments, making high-tech and cost-effective methodologies indispensable. Processing Earth Observation (EO) and remote sensing data is no longer merely a supporting tool, but a strategic technology that fundamentally transforms the mineral exploration paradigm. GeoJet Group leverages satellite analytics as a powerful engine to solve a core challenge: eliminating unproductive expenditure and focusing capital precisely on high-potential targets.

Our methodology slashes the initial target exploration area by up to 90% in just 30 days. This is achieved through the comprehensive interpretation and processing of vast satellite datasets using automated algorithms and machine learning. We uncover subtle, non-visible structural patterns and translate them into actionable, scientifically sound targets.

As a result, identifying prospective ore zones across vast, unexplored terrains requires minimal upfront field expenditure—laying a solid foundation for overall project economics.

What issues faced by subsoil users are addressed during the remote sensing data processing stage?

The analysis is limited to the site only

We cover areas outside the licence area, which enables us to assess geological potential within a broader — regional and structural — context.

Seasonal variation

We provide an analysis of ore potential and supply up-to-date data regardless of the time of year.

Restricted research conditions

We carry out research in all conditions — from mountain ranges to remote areas — regardless of terrain or distance.

The resolution of the source data is insufficient to draw accurate conclusions

We use satellite data at various levels of detail — selecting the optimal resolution for the task at hand and ensuring the reliability of the analysis.

How does remote sensing data interpretation work?

We evaluate the mineral potential of your property and identify target zones of ore accumulation using satellite imagery.

Our methodology leverages advanced technologies, including:

Multispectral and thermal analysis of satellite imagery (Sentinel, Landsat, ASTER, WorldView-3) — to identify mineralisation, tectonic faults and geochemical anomalies;
Calculation of mineral indices, PCA and cluster analysis — for a detailed analysis of rock formations, structural features, and zones of ore accumulation and distribution;
Morpho-structural and morphometric analysis — assessment of the morphostructural characteristics of the relief and the nature of neotectonic processes on the ore-bearing potential of the site;
Predictive modelling using machine learning — to identify areas of potential ore deposits;
A comparative analysis of spectra against USGS databases and previously studied ore occurrences — to enhance the reliability of the interpretation;
Data processing in SNAP, ArcGIS, Google Earth Engine and ERDAS Imagine — to create accurate models and visualisations.

The result is that the client receives a map of prospective ore zones and priority areas for further exploration, thereby reducing the time and cost of geological exploration work.

Focus on the most promising opportunities — without unnecessary expense

Remote sensing of the Earth helps to quickly identify potential ore-bearing areas and direct geological exploration work towards the most promising sites.

Fill in the form — we’ll explain how to apply this approach to your licence.

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Comprehensive assessment of ore potential using VEDART RS^{^®}

Initial Geological Data Analysis

Remote Sensing Data Interpretation

Multispectral analysis

Morpho-structural analysis and modelling

Target Localization for Exploration

GIS – support

What critical subsoil user challenges will we resolve using remote sensing data interpretation?

The use of satellite technology makes it possible to overcome the fundamental limitations inherent in traditional methods during the early stages of geological exploration.

Overcoming challenging conditions for field research

Organising fieldwork in high-altitude areas, the Arctic, the taiga, deserts or regions with a complex political situation involves enormous logistical challenges, risks to personnel and exorbitant costs. Our solution completely eliminates these barriers. We conduct a detailed analysis regardless of the terrain, remoteness, or level of infrastructure development in the area. Satellite imagery provides information on hard-to-reach areas, allowing work to begin immediately, without risks and without months of expedition preparation.

Eliminating dependence on the season and weather conditions

In most regions, the field season is limited to just a few months of the year. Waiting for favourable conditions, for the snow to melt or for river levels to fall can result in a whole year being lost and project deadlines being missed. Our technology ensures a continuous analytical process 365 days a year. This allows us to provide up-to-date data and maintain a high pace of work, giving the client a strategic advantage in the form of time savings.

Extending the analysis beyond the licensed area

Limiting the analysis to the boundaries of a licence area is a classic mistake that leads to a misunderstanding of the regional geological context. Ore-forming systems often extend for tens or hundreds of kilometres, regardless of licence boundaries. We work with the appropriate spatial scale, analysing the prospects of your licence area within the context of a larger structural unit — an ore cluster, metallogenic zone or belt. This allows us to understand its position relative to known deposits and major ore-controlling structures and, consequently, to objectively assess its potential and priority within your asset portfolio.

Working with data of varying resolutions for projects of any scale

Relying solely on publicly available low-resolution data may not be sufficient to draw accurate conclusions, whilst commissioning detailed imagery for the entire area is not economically viable. We employ a multi-scale approach, intelligently combining data of varying levels of detail:

Regional scale: We use Sentinel and Landsat data to analyse large-scale features and identify general patterns.
Local scale: Where necessary, we utilise WorldView-3 data to conduct a detailed analysis of key prospective areas and to finalise the details prior to fieldwork.

This approach ensures that the level of detail in the data always matches the task at hand, thereby ensuring the highest possible accuracy of the analysis at optimal cost.

How is remote sensing data processed at Geojet Group?

Our methodology is a multi-stage process that transforms ‘raw’ satellite data into finished forecast maps and specific targets for field research.

Selection of images and pre-processing procedures

We work with imagery from various satellite systems. In the first stage, we compile libraries of satellite imagery tailored to the specific objectives and site conditions. All remote sensing data undergoes the necessary pre-processing procedures, ensuring it can be used correctly in subsequent stages of analysis.

Selection and application of a range of methods

To extract as much geologically significant information as possible from satellite imagery, we select and apply a range of methods, including:

Interpretation of images across different ranges;
Generation and interpretation of various index images: Iron Oxide Index, Clay Index, Quartz Index and other indices for identifying lithological complexes;
The creation of false-colour images, such as composites of various index and infrared images, and their interpretation;
The application of classification procedures;
Application of the principal component method and the creation of major and minor principal component plots;
Development of machine learning classifiers;
Interpretation based on spectral characteristics;
Analysis of Thermal Anomalies.

Structural and geomorphological studies

To obtain the most comprehensive information possible about the geological structure of the area, we also carry out structural and geomorphological studies — an analysis of the terrain using digital models, which includes:

Geomorphological analysis;
Morphometric modelling and reconstruction of the history of landform development;
Modelling of residual structures and the degree of denudation;
Linear analysis.

Data verification

We do not operate in an information and geological vacuum. Identified targets are verified by comparing spectra with reference libraries and data on previously studied ore occurrences in the region, which significantly enhances the reliability of the interpretation.

Integration and Visualization

All the processed data is integrated into a geoinformation system and converted into a series of thematic maps in GIS formats, which form the core output of our research and serve as a guide for field teams.

The deliverables of our collaboration

The client receives not just a collection of attractive images, but a comprehensive analytical report that includes:

A map of promising areas and specific local targets for fieldwork, ranked by degree of promise.
Thematic maps clearly illustrating the distribution of key performance indicators.
Coordinates of targets for their rapid verification using field methods.
Recommendations on the best approaches for further research.

This enables a significant reduction in the time required and a substantial cut in the costs of subsequent stages of geological exploration, by focusing these efforts specifically on the areas identified through high-tech analysis.

Focus your fieldwork on the most promising areas — without unnecessary costs or wasted time.

Earth Observation is your strategic instrument for data-driven decision-making at the earliest stage. It enables you to screen out up to 90% of non-prospective ground, ensuring your exploration capital is deployed precisely where it yields results.

Submit a request for a consultation, and our experts will explain how remote sensing technology can help you assess the potential of your concession area and save resources.