The Role of False Color Composites and AI in Mineral Exploration

 In standard satellite images, the Earth is shown in natural colors, similar to how we see it with the naked eye. To broaden that perspective, in TerraEye we have implemented False Color Composites (FCC). FCC images utilize different spectral bands that are invisible to human vision, highlighting geological features based on how materials reflect light at various wavelengths. The technique works by assigning different spectral bands to red, green, and blue (RGB) channels giving the new colored composites of the analysed region. FCC images highlight surface features related to mineralization that may otherwise go undetected in standard imagery. This process allows for the identification of different rock types and mineralization zones based on their spectral characteristics.

When enhanced with AI-powered algorithms, spectral indices, and lineament maps, FCC analysis provides highly precise insights that streamline the mineral discovery process.


Interpreting FCC for Mineral Exploration

FCC is especially useful in the early stages of mineral exploration as it helps to better understand the surface geology of the explored area. Visualization of different FCC may help to distinguish structures that were not recognized with the use of standard satellite imagery or early geological mapping.

False Color Composites and the power of satellite data in TerraEye

The combination of False Color Composites, AI analysis, spectral indices, and lineament mapping greatly enhances the efficiency and accuracy of mineral exploration. This synergy of different techniques aims to give you the most insights into your explored property by highlighting lithologies, mineralization zones, linear structures, and spectrally similar areas.

The aim is simple – fast, precise and cost-effective mineral deposit discovery. Use our carefully predefined False Color Composites to get a new perspective on your property.

For more information on how TerraEye’s FCC and AI solutions can support your exploration projects, contact us today.

app.terraeye.co
terraeye.co

Popular posts from this blog

Unlock the Power of Satellite Data, Remote Sensing, and Artificial Intelligence with TerraEye

Image
TerraEye revolutionizes mineral exploration and environmental monitoring by integrating advanced artificial intelligence (AI) into its platform. By transforming vast amounts of raw satellite data into actionable insights, TerraEye enables faster, more accurate, and cost-effective decision-making processes. Decoding AI in Geology At TerraEye, we believe that AI should be a transparent tool, not a black box. Our AI solutions are designed to help uncover insights that might have been missed, providing clarity rather than confusion. We collaborate closely with expert exploration geologists who contribute their knowledge to train and refine our algorithms. This partnership ensures that our AI is grounded in real-world expertise, enhancing its effectiveness and reliability. AI Clustering for Geological Analysis One of the major AI applications in TerraEye’s platform is its use of AI-based clustering algorithms, such as K-means , for lithological mapping. This process involves applying machin...
Read more

Lineament Maps – What They Are and How They Are Created

Image
TerraEye introduces a lineament detection algorithm based on Digital Elevation Model (DEM) data. This approach allows for the identification of surface expressions of linear structures, which can be part of local geological formations significant for mineralization. As such, lineament data serves as an important input in the analysis of areas for potential mineral resources. The detection process is carried out using the Canny edge detection algorithm (Mohammadpour et al., 2020), which has proven to be effective for this purpose. In this version, the results are generated from a DEM derived from the global Copernicus GLO-30 dataset. The Canny algorithm operates in several stages: first, it filters noise to eliminate irrelevant details, then identifies and selects pixels where DEM values change sharply. From these selected pixels, lines are created, and in the final step, thresholding allows for the extraction of strong and clear edges or more subtle ones depending on the settings. The ...
Read more

Navigating TerraEye: An In-Depth Guide to Mineral Exploration Using Sentinel-2 and EMIT Data

Image
  In the complex field of mineral exploration, the ability to analyze vast amounts of satellite data accurately and efficiently is a key competitive advantage. TerraEye, a cloud-based application, provides advanced tools to process and interpret satellite data, particularly from Sentinel-2 and EMIT sensors. This blog post offers a detailed guide on how to navigate TerraEye, focusing on data processing and how to interpret the results of automated analyses. Additionally, we'll cover how to order additional datasets and request further processing of your Area of Interest (AOI) directly within the app. How to Get Started with TerraEye Getting started with TerraEye is straightforward: Sign Up: Create an account on the TerraEye website by entering your details and agreeing to the terms of service. Log In: Use your credentials to access the TerraEye dashboard. Explore Demo Sites: Familiarize yourself with TerraEye’s features by exploring the demo sites available on your dashboard. Cre...
Read more