Discovering the Science & Principles Behind VMF Technology

Verification of Multispectral Forecast (VMF) Technology

​1. Overview

Leveraging satellite imaging to support natural resource exploration activities is not a new concept. Doing so in a value-adding, cost-saving and user-friendly manner has been a challenge for many years.

We are now in a New Era of Geospatial Intelligence.

Access to high-quality data is enabling scientists to develop new techniques in exploration for oil & gas and minerals. Providing new opportunities for companies searching for and developing natural resources with more exposure to complex environments increases the likelihood of cost-effective results.

VMF goes deeper into the multi-spectrum than any other very high-resolution commercial imaging satellite to unlock critical information through advanced analytic capabilities. We call it ‘Rethinking Exploration’.
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VMF (Verification of Multispectral Forecast) is a patented remote sensing technology designed to directly detect subsurface natural resources such as manganese, iron, copper, gold, and hydrocarbons. By leveraging fundamental scientific principles of spectroscopy and modern AI-based spectral analysis, VMF enables pinpoint identification of buried resource deposits remotely, without disturbing the surface or requiring physical access to the land.

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​2. Scientific Principles: Spectral Signatures

​At the heart of VMF Technology's detection capabilities lies the fundamental principle of spectral signatures—the unique electromagnetic "fingerprints" that different elements and compounds produce. Understanding how these signatures form requires examining the interaction between matter and electromagnetic radiation at the atomic level.

These signatures function as "fingerprints" that uniquely identify chemical elements and compounds. The specificity of these signatures enables precise identification of elements even when they exist in complex mixtures or are located beneath the Earth's surface.

2.1. Formation of Spectral Signatures
Spectral signatures are formed through two primary mechanisms:

• Absorption Spectra: When electromagnetic waves pass through matter, atoms can absorb specific wavelengths, causing electrons to jump to higher energy levels. The pattern of absorbed wavelengths (appearing as dark lines in a spectrum) is unique to each element and creates a distinctive "absorption signature."
• Emission Spectra: Conversely, when an atom's electrons return from higher to lower energy states, they release energy as photons at specific wavelengths. This creates bright emission lines in the spectrum, also uniquely characteristic of each element.

2.2. Electronic Configuration and Unique Signatures
The reason each element produces a unique spectral signature lies in quantum mechanics. Each element has a distinct electronic configuration—the specific arrangement of electrons in different energy levels or "shells" around the nucleus. These configurations determine the exact energy differences between electron states, which in turn dictate the precise wavelengths of light that can be absorbed or emitted.
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For example, hydrogen's simple electronic structure produces a distinctive pattern of spectral lines different from the more complex patterns of elements like lead, zinc or gold.

Figure 1: Absorption & Emission Spectra of Na, N, H & O on the Visible Spectrum Source: NASA, Webb Space Telescope (2021)

These differences are so specific that spectral analysis can distinguish between elements that are chemically similar but have different isotopic compositions or oxidation states.

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3. Applications of Spectroscopy in Science

Spectroscopy is a well-established scientific methodology used across multiple disciplines, from astronomy to medical diagnostics. The fundamental principle involves analyzing how matter interacts with electromagnetic radiation across various wavelengths. When electromagnetic waves interact with atoms or molecules, specific wavelengths are absorbed, transmitted, or reflected based on the target's atomic structure and molecular composition.

3.1. Spectroscopy in Astronomy
The scientific validity of spectroscopic analysis is perhaps most impressively demonstrated in the field of exoplanet research. Astronomers utilize high-resolution spectroscopy to analyze the atmospheric composition of planets orbiting distant stars, often tens or hundreds of light-years from Earth.
According to peer-reviewed research published in Nature Scientific Reports (2024), ground-based telescopes equipped with high-resolution spectrographs can detect specific molecular signatures in exoplanet atmospheres.

These instruments, operating at spectral resolutions (R = λ/Δλ) of 100,000 or higher, can identify individual absorption lines of compounds such as water vapor, methane, carbon dioxide, and even potential biosignature gases like molecular oxygen.

When starlight passes through an exoplanet's atmosphere during transit, atmospheric molecules create distinctive spectral features by absorbing specific wavelengths. Scientists then compare these absorption patterns with laboratory spectral databases to identify the presence and concentration of various compounds.

​Figure 2: Spectroscopy to Identify Atmospheric Elements Present in Exoplanets Source: NASA, 2021

This technique has successfully characterised the atmospheric composition of numerous exoplanets, revealing details about their chemical makeup, temperature profiles, and potential habitability.

​3.1. Spectroscopy in Medical Science: MRI Spectroscopy
In the medical field, Magnetic Resonance Spectroscopy (MRS)[5] applies similar spectroscopic principles to diagnose and monitor various conditions. MRS works alongside traditional MRI to analyse the chemical composition of tissues rather than just providing anatomical images (Sitter et al., 2019).

Figure 3: Chemical shift imaging of glioblastoma: a) contrast-enhanced T1-weighted image, showing the volume specified for chemical shift imaging, and b) choline map from chemical shift imaging showing the choline level in the volume for spectroscopy. The colour chart illustrates the choline level, from low (blue) to high (red), and in this example, high levels of choline (red) can be seen in the medial portion of the glioblastoma.

MRS detects the unique resonance frequencies of different molecules within the body. For example, N-acetylaspartate, creatine, choline, and lactate each produce distinctive spectral peaks. By analysing these spectral patterns, medical professionals can identify abnormal metabolic processes associated with conditions like brain tumours, stroke, multiple sclerosis, and Alzheimer's disease without invasive procedures

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4. From Established Science to VMF Innovation

VMF Technology's approach is inspired by the established scientific methodologies used across multiple disciplines. The proven effectiveness of spectral imaging in astronomy and medical diagnostics has provided a robust scientific foundation for VMF technology.

VMF Technology has reverse-engineered these established spectroscopic principles to create a revolutionary approach for subsurface resource detection. While astronomy uses spectroscopy to look outward into space and medical science looks inward at the human body, VMF directs this technology downward to peer deep beneath the Earth's surface.

It's important to clarify that the scientific principles described in the astronomy and medical examples apply primarily to the visible spectrum of light, the absorption and emission spectrum illustrated in the previous images. However, for Earth's subsurface analysis, the visible spectrum contains too much noise for reliable interpretation.

Therefore, VMF Technology employs a more comprehensive multispectral imaging approach that incorporates multiple spectral ranges, such as the ultraviolet (UV) and infrared (IR) spectrums. The fundamental principles of spectral signatures remain consistent across these spectra, each element still produces characteristic absorption and emission patterns in each spectrum, but these signals are not visibly detectable on a conventional spectrometer.
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The proprietary aspect of VMF technology lies in the art of extracting and filtering valuable information from these "invisible" signals captured in satellite imagery, providing insights that conventional exploration methods cannot achieve.

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5. VMF Working Principle

Our system employs advanced multispectral satellite imaging to capture the electromagnetic signatures emanating from subsurface deposits. These signatures are detected through their distinctive spectral patterns across multiple regions of the electromagnetic spectrum.

The primary challenge in this application is signal differentiation, separating the target element's signature from the multitude of electromagnetic signals produced by various minerals, geological formations, and environmental factors. To address this, VMF utilizes proprietary AI-based processing algorithms that effectively filter and isolate the specific spectral signatures of target resources.

This technology uses special mathematical analysis based on the equations of renowned mathematicians like Navier-Stokes, Maxwell, Ostrogradsky, and Helmholtz. These equations are used to calculate vector potential and conduct analytical and statistical analysis. This helps to estimate the volume of the resource's deposit, reserve amount, content, and composition in an identified area.
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Through the filtration of the spectral signatures, we identify the signal of the desired element and plot it on a map. The color gradient represents the accumulation of that particular element in that spot, which may be from a perpendicular deposit below or from different depths, in which case the signals are aggregated perpendicularly to show a higher concentration at that spot. The concentration gradient moves from blue (lowest) to green to yellow to red (highest), creating comprehensive 2D heatmaps with location accuracy of ±3 meters.

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6. VMF Workflow Process

6.1. Stage 1: 2D Spectral Survey
The initial phase of our workflow begins when we receive coordinates of the target area and identification of the resource of interest. We deploy our partner satellites to obtain either a tasking or an archive image of the given coordinates. Using VMF’s proprietary and patented multispectral filtration software in our Data Centre, we filter out all unnecessary signals to isolate the spectral signature of the desired element.
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If we successfully identify the signal of the required element, we plot it on a map with its relative intensity. This is represented by a color gradient (heatmap) which corresponds to the relative level of concentration of atoms of the desired element perpendicularly below that point.
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It's important to note that this concentration may exist at one depth or at multiple depths below that very point, in which case the signals are aggregated at that point on the map.

Figure 4: VMF 2D Scan Samples (for illustrative purposes only)

For minerals, we typically scan for a single element. However, for hydrocarbons, the process is more complex. Since hydrocarbons are compounds of multiple elements, we run separate scans for each constituent element and then overlap these results. The points where all element signatures coincide indicate the presence of the hydrocarbon. This process is repeated for each element, with the results superimposed to create a comprehensive map of hydrocarbon deposits.

Key Performance Parameters:

• Location accuracy ± 3m
• Detection depth range (up to 8,000 m)
• Processing timeline (2-3 months)

Once we've identified areas of interest in the 2D analysis, we proceed to a more detailed three-dimensional survey. This phase utilizes angular satellite images, off-nadir images, which help us capture the direction of signals from multiple angles.

​6.2. Stage 2: 3D Volumetric Analysis
In this phase, satellite sensors capture multispectral data at different angles relative to the target area. Each dataset is processed to isolate the directional vectors of the target element's spectral signature. With signals captured from multiple angles, it becomes a matter of geometrically calculating the depth of the signal source through triangulation.

This triangulation process is mathematically analogous to how modern GPS systems determine three-dimensional positions by analysing signal vectors from multiple satellites. VMF’s proprietary algorithms process this multi-angular spectral data to construct a comprehensive three-dimensional model of subsurface resources.​

Figure 5: Diagrammatic representation of VMF 3D Scan

​Figure 6: VMF 3D Scan Samples (for illustrative purposes only)

Key Performance Outputs from 3D Stage:

• Estimated Volume of Deposit (based on spectral molar mass and density – upto 75% accurate in tons and over 90% accurate in cubic meters)
• Depth, Thickness, and Number of Layers (slicing every 1.5m)
• Grade / Purity of Element (applicable for metallic minerals, upto 75% precise in g/t or % as required)
• Subsurface Coordinates (x, y, z) of high-concentration zones with ± 3 m accuracy
• 3D Spatial Geometry of the deposit body
• Drilling Reference Points for optimal extraction planning

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7. Value Proposition

For mining & exploration companies, VMF technology addresses a significant economic challenge: the substantial capital invested annually in non-productive exploration efforts. By providing definitive data on deposit presence, precise location, depth, and volume, VMF substantially reduces exploration risk and optimizes capital allocation.

Key Benefits:

• Know What Lies Deeper — Before You Drill: If a resource is found at a certain depth, our report shows whether it continues deeper and at what grade. This comprehensive underground view helps you decide if deeper mining makes economic sense without additional drilling costs.
• Revamp Old Mines and Find Missed Hotspots: Closed or low-priority mines may still contain untapped zones that were missed by conventional exploration. VMF can detect these non-invasively, helping you identify valuable resources in existing mining areas.
• Assess New Blocks Before Investment: For new potential blocks, VMF can scan any area in just 1.5 months and identify which ones show strong potential, allowing you to prioritize your investments efficiently.
• Drill Only Where It Matters: Conventional drilling is expensive and time-consuming. VMF provides the same information at a fraction of the cost—3x faster and 3x more accurate. You'll still drill, but more strategically, with complete information on optimal extraction depths.

​The technology maintains consistent performance across diverse geographical and environmental conditions with zero environmental impact. The non-invasive methodology requires no physical access to survey areas, eliminating disruption to ecosystems, communities, and biodiversity, while circumventing requirements for environmental clearance permits.

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8. Scientific Validation from External Experts – Gubkin University

​VMF Technology has been reviewed by Gubkin University, a leading institution in the field of geophysics and resource exploration. Their analysis provides additional scientific validation of the VMF approach, particularly regarding the fundamental mechanisms underlying VMF multispectral scanning technology.

​Gubkin Russian State University of Oil and Gas, established in 1930 in Moscow, is Russia’s premier institution for petroleum engineering and energy studies. Known globally for its strong academic foundation and close ties with the oil and gas industry, Gubkin University has produced generations of leading geologists, engineers, and scientists who have shaped energy exploration in Russia and beyond. With cutting-edge research facilities, international collaborations, and a curriculum deeply aligned with industry needs, it is widely regarded as a centre of excellence in hydrocarbon exploration, production, and advanced geosciences.

Figure 7: Independent Verification Report on VMF Technology. Source: Gubkin University & Neftegaz ECO Centre (2017)

According to Gubkin University's assessment, VMF Technology operates on fundamental principles of wave-particle duality in electromagnetic wave theory. Their analysis confirms several key aspects of VMF’s technological approach:

• Core-to-Surface Thermal Radiation Analysis: Gubkin's assessment confirms that VMF technology utilizes the Earth's core as a natural radiator in the infrared (thermal) range. As these thermal waves propagate from the core to the surface, they interact with atomic structures in the Earth's crust, creating distinctive spectral signatures.
• Absorption and Reradiation Processes: The university's analysis verifies that VMF technology captures the processes of absorption and reradiation of electromagnetic waves by different atomic substances in specific spectral ranges. This aligns with VMF’s explanation of how elements exhibit characteristic electromagnetic absorption patterns based on their atomic structure.
• Spectral Transfer to Reflected Light: Their assessment confirms that the accumulated spectral components from subsurface materials transfer to reflected visible light at the surface, which can then be captured through digital satellite imagery and processed using advanced spectral mathematical methods.

8.1. Measurement & Analysis Methodology
Gubkin University's technical review also validates VMF’s methodological approach:

• Multi-parameter Analysis: Their assessment confirms VMF technology measures relative spectral molar mass of specific atoms in the Earth's crust column up to 8km depth, analyses atomic combinations and valencies, and accounts for soil density in calculating electromagnetic wave propagation.
• Comprehensive Data Processing: The university verifies the VMF approach of using standard digital satellite imagery combined with specialized spectral mathematical processing methods and noise reduction algorithms to isolate the specific signals of target elements.
• Dimensional Modelling: Gubkin University confirms VMF’s progression from 2D planar approximation to 3D volumetric modelling for comprehensive resource visualization.

8.2. Data Reliability Confirmation
Particularly significant is Gubkin University's validation of VMF’s data reliability mechanisms:

• Multiple Spectral Markers: Their assessment confirms VMF’s use of multiple spectral markers for each atomic subtype, enhancing signal differentiation and accuracy.
• Oxidation State Analysis: The university verifies VMF’s method of analysing different oxidation states of the same element to improve the approximation of the relative spectral molar mass.
• Parallel Processing Method: Gubkin University confirms the effectiveness of VMF’s "parallel addition/subtraction" methodology for processing typical/atypical atomic subtypes with appropriate weighting coefficients.

This independent technical validation from Gubkin University reinforces the scientific foundations of VMF Technology and provides additional confidence in its capabilities for precise subsurface resource detection.

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9. Comparative Study: VMF vs Aeromagnetic Survey in Namibia

A comparative geophysical study published on January 10th, 2025, was conducted by Starseed Global FZCO in the Sinclair region of Namibia to evaluate the performance of VMF Technology alongside traditional aeromagnetic surveys for Gold (Au) and Copper (Cu) mineralisation detection. The goal was to assess the accuracy, depth capability, and actionable insights offered by both methods in a real exploration context.

9.1. Area of Study
The Sinclair mining concession was previously explored using an aeromagnetic survey conducted by Xcalibur, a leading airborne geophysics company. Their survey identified magnetic anomalies and structural trends that could potentially host mineralised zones. VMF Technology was independently applied to the same area, without any prior knowledge of Xcalibur's findings.

​9.2. Comparative Findings

Figure 8: (A) Tilt derivative showing the enhanced aeromagnetic response. (B) The relationship between Cu (%) intensity and the structures gleaned from filtered aeromagnetic data. The high Cu intensity coincides with areas of low magnetic on the TDR image.

Figure 9: Ternary image of the three principal components of radiometric data correlated with the Gold mineralization and the outline gleaned from VMF Technology.

• Correlation of Targets: VMF successfully identified the same key mineralized targets that were highlighted in the aeromagnetic survey. This validates the effectiveness of VMF in detecting potential ore zones, even though it uses an entirely different method of detection (direct spectral analysis rather than magnetic susceptibility).
• Additional Target Identification: Notably, VMF Technology also identified several additional high-concentration zones that were not detected in the aeromagnetic data. This indicates VMF’s superior sensitivity in detecting direct elemental signatures of copper and gold, rather than relying on associated magnetic features.
• Depth of Exploration: While aeromagnetic surveys are typically limited by their sensitivity to shallow to moderate depths and rely on indirect magnetic proxies, VMF was able to model mineralization volumes and positions down to 3.4 km in this study. This deeper penetration is critical in greenfield exploration, where deposits may not be near the surface.
• Output Precision: The VMF model provided not just anomaly locations but also detailed estimates of volume, concentration, and depth. These outputs were aligned with previously drilled results and structural interpretations, adding confidence in their practical application for drilling decisions.

 
9.3. Interpretation Advantage
VMF Technology’s ability to directly detect atomic spectral signatures enables greater reliability and actionable detail, particularly in terrains with low magnetic contrast or complex lithologies, where traditional magnetic surveys can be inconclusive or misleading. The Namibia study confirmed VMF’s edge in both target resolution and economic decision support, allowing stakeholders to prioritize drilling with greater certainty.

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10. Conclusion: Rethinking Exploration from Space

VMF Technology represents a paradigm shift in subsurface exploration. Grounded in the well-established scientific principles of spectroscopy and remote sensing, and independently validated by leading geophysical institutions, VMF provides a proven method for direct detection of mineral and hydrocarbon deposits, without disturbing the ground.

Its ability to bypass traditional exploration bottlenecks site access, environmental clearances, and high drilling costs, makes it especially valuable in today’s resource landscape. By delivering accurate, actionable intelligence at speed, VMF helps resource companies reduce risk, prioritize investment, and accelerate discovery.
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What was once considered uncertain and time-consuming can now be approached with surgical precision. VMF is not just an innovation in exploration, it is a redefinition of what is scientifically and operationally possible.

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11. References

Ahrer, E.-M., Alderson, L., Batalha, N. M., Batalha, N. E., Bean, J. L., Beatty, T. G., Bell, T. J., Benneke, B., Berta-Thompson, Z. K., Carter, A. L., Crossfield, I. J. M., Espinoza, N., Feinstein, A. D., Fortney, J. J., Gibson, N. P., Goyal, J. M., Kempton, E. M.-R. ., Kirk, J., Kreidberg, L., & López-Morales, M. (2022). Identification of carbon dioxide in an exoplanet atmosphere. Nature, 614, 1–3. https://doi.org/10.1038/s41586-022-05269-w

Hustak, L. (2021, July 2). Absorption and Emission Spectra of Various Elements. WebbTelescope.org.  https://webbtelescope.org/contents/media/images/01F8GF9E8WXYS168WRPPK9YHEY
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NASA. (2024, October 29). How We Find and Characterize - NASA Science. Science.nasa.gov. https://science.nasa.gov/exoplanets/how-we-find-and-characterize/

Sitter, B., Sjøbakk, T. E., Larsson, H. B. W., & Kvistad, K. A. (2019). Klinisk MR-spektroskopi av hjernen [Review of Klinisk MR-spektroskopi av hjernen]. Tidsskrift for Den Norske Legeforening. https://doi.org/10.4045/tidsskr.17.1099

Surangkhana Rukdee. (2024). Instrumentation prospects for rocky exoplanet atmospheres studies with high resolution spectroscopy. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-78071-5