--- title: Grupo Terrax description: Llevamos la innovación tecnológica a la agroindustria, minería, energía, gas y petróleo para maximizar sus operaciones y acelerar los resultados. image: https://grupoterrax.com/hubfs/terrax.jpg --- [Skip to main content](https://grupoterrax.com/en-us/#main-content) [![terrax1](https://grupoterrax.com/hs-fs/hubfs/terrax1.png?width=200&height=67&name=terrax1.png) ![terrax1](https://grupoterrax.com/hs-fs/hubfs/terrax1.png?width=200&height=67&name=terrax1.png)](https://grupoterrax.com/en-us/) - [About Us](https://grupoterrax.com/en-us/#nosotros) - [Agribusiness](https://grupoterrax.com/en-us/#agro) - [Mining](https://grupoterrax.com/en-us/#mineria) - [Environmental Impact](https://grupoterrax.com/en-us/#ambiental) - Show submenu for translations EN-US - [Español](https://grupoterrax.com/archivo) Open main navigation Close main navigation - [About Us](https://grupoterrax.com/en-us/#nosotros) - [Agribusiness](https://grupoterrax.com/en-us/#agro) - [Mining](https://grupoterrax.com/en-us/#mineria) - [Environmental Impact](https://grupoterrax.com/en-us/#ambiental) - Show submenu for translations EN-US - English (United States) - [Español](https://grupoterrax.com/archivo) - [Contact Us!](https://grupoterrax.com/en-us/#contacto) [Contact Us!](https://grupoterrax.com/en-us/#contacto) # Driving innovation across strategic economic sectors ##### We bring technological innovation to the agribusiness, mining, energy, and oil & gas sectors to maximize operations and accelerate results. ##### We utilize AI-powered technologies, neural networks, machine learning, and geospatial analysis to scale business capabilities and value chains. [Talk to an expert](https://grupoterrax.com/en-us/#contacto) [View success stories](https://grupoterrax.com/en-us/#exito) ![ChatGPT Image 20 jul 2025, 07\_27\_56 p.m.](https://grupoterrax.com/hs-fs/hubfs/ChatGPT%20Image%2020%20jul%202025%2c%2007_27_56%20p.m..jpg?width=1536&height=1024&name=ChatGPT%20Image%2020%20jul%202025%2c%2007_27_56%20p.m..jpg) We work with the industry-leading AI stack ![Microsoft-for-Startups-removebg-preview](https://grupoterrax.com/hs-fs/hubfs/Microsoft-for-Startups-removebg-preview.png?width=770&height=324&name=Microsoft-for-Startups-removebg-preview.png) ![python-logo-black-and-white-1](https://grupoterrax.com/hs-fs/hubfs/python-logo-black-and-white-1.png?width=1280&height=372&name=python-logo-black-and-white-1.png) ![PyTorch\_logo\_black.svg-modified](https://grupoterrax.com/hs-fs/hubfs/PyTorch_logo_black.svg-modified.png?width=2000&name=PyTorch_logo_black.svg-modified.png) ![tensorflow](https://grupoterrax.com/hs-fs/hubfs/7a11b0b0-f7b3-4c57-b79b-7ec4e27ff193-modified.png?width=768&height=251&name=7a11b0b0-f7b3-4c57-b79b-7ec4e27ff193-modified.png) ![keras-modified](https://grupoterrax.com/hs-fs/hubfs/keras-modified.png?width=1200&height=348&name=keras-modified.png) ## Terrax® Geospatial Analyzer ![terraxgeo2](https://grupoterrax.com/hs-fs/hubfs/terraxgeo2.png?width=403&height=174&name=terraxgeo2.png) Terrax Geo is a high-performance geospatial analysis solution. Built on technologies optimized for multispectral satellite imagery and big data processing, the platform deploys advanced algorithms, neural networks, predictive analytics, and AI to turn raw data into strategic intelligence. We aim to simplify complex tech, giving you direct access to the insights needed for efficient resource management. Terrax Geo delivers the indicators, simulations, and forecasts required to make data-driven decisions, cut costs, and drive superior results. ![](https://grupoterrax.com/hs-fs/hubfs/image-png.png?width=403&height=174&name=image-png.png) Terrax Explorer is our powerful, high-performance 3D engine, designed to transform complex geospatial datasets into immersive and seamless visual experiences directly within your browser. More than just a topographic rendering environment, Explorer acts as the interactive canvas where our analytical models—based on multispectral satellite imagery and artificial intelligence—converge. This engine allows you to navigate the terrain with absolute precision, draw custom study polygons, and project the results of complex algorithms in real time. Terrax Explorer is the technology that translates massive predictive analysis into a clear, actionable three-dimensional visualization for strategic decision-making. High-Precision 3D Rendering: An immersive visual environment that allows you to explore topography and terrain with complete fluidity. Multispectral Analytical Projection: The engine is optimized to overlay and render the results of advanced geospatial models. AI-Driven Visualization: Terrax Explorer translates complex data processed by our artificial intelligence algorithms into understandable visual layers. It enables the real-time observation of automated detection for physical terrain variables and key environmental patterns crucial for industrial operations and monitoring.   ![](https://grupoterrax.com/hs-fs/hubfs/image-png-1.png?width=115&height=115&name=image-png-1.png)   ![screencapture-explorernatureapp-terraxgeospatial-2026-04-18-13\_37\_44](https://grupoterrax.com/hs-fs/hubfs/screencapture-explorernatureapp-terraxgeospatial-2026-04-18-13_37_44.jpg?width=550&height=358&name=screencapture-explorernatureapp-terraxgeospatial-2026-04-18-13_37_44.jpg)   - ![energia](https://grupoterrax.com/hs-fs/hubfs/energia.jpg?width=3950&height=2154&name=energia.jpg) High-Voltage Grid Monitoring - ![mineria2](https://grupoterrax.com/hs-fs/hubfs/mineria2.jpg?width=3840&height=1950&name=mineria2.jpg) Smart Mining With Reduced Risk - ![oilandgas](https://grupoterrax.com/hs-fs/hubfs/oilandgas.jpg?width=3840&height=1950&name=oilandgas.jpg) Efficiency in Oil and Gas - ![agroindustria](https://grupoterrax.com/hs-fs/hubfs/agroindustria.jpg?width=3456&height=2516&name=agroindustria.jpg) More Productive and Precise Agribusiness - ![parques2](https://grupoterrax.com/hs-fs/hubfs/parques2.jpg?width=3850&height=2829&name=parques2.jpg) Monitored Parks and Nature Reserves - ![contaminacion](https://grupoterrax.com/hs-fs/hubfs/contaminacion.jpg?width=3541&height=2687&name=contaminacion.jpg) Water Pollution Monitoring ## Use Cases for Mineral Exploration and Geological Studies ⛏️ 🪨 🪙 ![PHAI](https://grupoterrax.com/hs-fs/hubfs/PHAI.jpeg?width=638&height=838&name=PHAI.jpeg) #### Phyllic Alteration This model identifies hydrothermal alteration zones associated with minerals such as sericite, muscovite, kaolinite, alunite, and quartz—typical of porphyry or epithermal environments. These minerals are frequently linked to the presence of gold, copper, and silver, making this model a key indicator for defining priority mineral exploration areas. ![CLAY](https://grupoterrax.com/hs-fs/hubfs/CLAY.jpg?width=686&height=827&name=CLAY.jpg) #### Clays This model detects the concentration of clay minerals such as kaolinite, illite, and smectite, which serve as markers for argillic alteration. Their presence is associated with hydrothermal processes and mineral accumulations of economic interest, providing valuable data for geological mapping, mineral prospecting, and land-use planning. ![FEAI](https://grupoterrax.com/hs-fs/hubfs/FEAI.jpg?width=623&height=825&name=FEAI.jpg) #### Ferric Alteration This model reveals areas with high concentrations of iron oxides, such as hematite, goethite, and limonite, which are indicative of surface oxidation and hydrothermal alteration. These zones are often related to the secondary mineralization of iron, copper, and gold, making this a fundamental model for identifying favorable structures and for environmental monitoring. ![LITIO](https://grupoterrax.com/hs-fs/hubfs/LITIO.jpg?width=773&height=823&name=LITIO.jpg) #### Lithium This model identifies zones with potential for lithium-bearing pegmatites, applying spectral ratios that highlight the presence of spodumene, lepidolite, and petalite—minerals associated with lithium, tantalum, and tin. This approach enables the mapping of favorable areas within granitic and hydrothermal systems, contributing to early-stage prospecting and the prioritization of targets in energy exploration. ![URANIO](https://grupoterrax.com/hs-fs/hubfs/URANIO.jpg?width=623&height=592&name=URANIO.jpg) #### Uranium This model detects zones with potential for uranium mineralization by identifying hydrothermal alterations and spectral signatures associated with uraninite, autunite, and torbernite. These assemblages frequently occur alongside iron and copper in granitic or fracture-controlled systems with intense hydrothermal activity. The model allows for the delineation of favorable areas for uranium and associated metal prospecting, integrating spectral, structural, and geological criteria. ![AMD](https://grupoterrax.com/hs-fs/hubfs/AMD.jpg?width=1270&height=1014&name=AMD.jpg) #### Acid Mine Drainage This model enables the detection and monitoring of acid effluents from active or abandoned mines by combining spectral analysis with AI-driven classification. It identifies areas affected by the oxidation of metallic sulfides—primarily pyrite and pyrrhotite—alongside the presence of dissolved iron and sulfates. This TerraX model is essential for environmental assessment, temporal tracking of contaminated waters, and the sustainable management of mining liabilities. ![SOM](https://grupoterrax.com/hs-fs/hubfs/SOM.jpeg?width=472&height=626&name=SOM.jpeg) #### Self-Organizing Map for Exploration This model utilizes unsupervised neural networks to integrate and analyze multiple geospatial data sources, such as satellite imagery, geophysical, and geochemical data. This approach enables the identification of hidden patterns, anomalous zones, and mineral assemblages that are not evident through conventional analysis. Furthermore, it generates smart exploration maps, facilitating the detection of potential mineralized zones and optimizing field campaign planning. ![Monitoreo](https://grupoterrax.com/hs-fs/hubfs/Monitoreo.jpg?width=2186&height=1270&name=Monitoreo.jpg) #### Mining Monitoring This model enables the supervision of active mining areas and environmental liabilities through multi-temporal satellite imagery and AI analysis. It detects the expansion of extraction fronts, changes in waste rock piles, and variations in tailings and acid drainage, providing key information for environmental management, operational traceability, and sustainable mining planning. ![EGMS](https://grupoterrax.com/hs-fs/hubfs/EGMS.jpg?width=1196&height=778&name=EGMS.jpg) #### Ground Movement Monitoring This model enables the detection and analysis of ground movements with millimetric precision through Satellite Radar Interferometry (InSAR) techniques. The model integrates data to monitor subsidence, landslides, mining deformations, and structural stability. Its application is essential for geotechnical risk management, environmental oversight, and infrastructure planning in sensitive areas. ![mapa-movil](https://grupoterrax.com/hs-fs/hubfs/mapa-movil.jpg?width=1266&height=1075&name=mapa-movil.jpg) Success Story - San Juan, Argentina ## From Data to Value: Concrete Results in Mining **Success Story: San Juan, Argentina** In San Juan, we deployed the **TerraX® Geospatial Analyzer** across an area spanning tens of thousands of hectares. The multi-spectral analysis enabled us to: - **Identify zones of high phyllic alteration**, consistent with geological mineralization contexts. - **Prioritize over 5,000 hectares** of high geological potential, reducing uncertainty and accelerating decision-making. - **Integrate multi-source indicators**—including soil, climate, topography, and vegetation—to assess feasibility and plan upcoming prospecting and exploration campaigns. ## Agribusiness Report 🌽 🌾 🚜 ## Seamlessly monitor all key agricultural variables with regular, data-driven insights ![reporte3](https://grupoterrax.com/hs-fs/hubfs/reporte3.png?width=848&height=400&name=reporte3.png)   ![NDVI](https://grupoterrax.com/hs-fs/hubfs/1.png?width=286&height=256&name=1.png) #### NDVI **Normalized Difference Vegetation Index**  This index is a measure of healthy, green vegetation. The combination of its normalized difference formulation and the use of the highest chlorophyll absorption and reflectance regions makes it robust across a wide range of conditions. ![LAI](https://grupoterrax.com/hs-fs/hubfs/2.png?width=286&height=258&name=2.png) #### LAI **Leaf Area Index** This index is used to estimate foliage cover and to predict crop growth and yield. ![GCI](https://grupoterrax.com/hs-fs/hubfs/3.png?width=286&height=258&name=3.png) #### GCI **Green Chlorophyll Index** This index is used to estimate leaf chlorophyll content across a wide variety of plant species. ![SBI](https://grupoterrax.com/hs-fs/hubfs/4.png?width=282&height=258&name=4.png) #### SBI **Soil Brightness Index** This index acts as an indicator of organic matter, sand content, and salinity. It enables the analysis of soil degradation and erosion—key factors for agricultural sustainability. ![NDMI](https://grupoterrax.com/hs-fs/hubfs/5.png?width=286&height=260&name=5.png) #### NDMI **Normalized Difference Moisture Index** This index is used to determine vegetation water content and is ideal for detecting water stress in plants. Healthy vegetation exhibits high NDMI values, while low values indicate that plants are under stress due to a lack of moisture. ![NDWI](https://grupoterrax.com/hs-fs/hubfs/6.png?width=288&height=260&name=6.png) #### NDWI **Normalized Difference Water Index** This index is used to differentiate water bodies from dry land areas and to map surface water features. On maps, it is typically represented in shades of blue. ![WBI](https://grupoterrax.com/hs-fs/hubfs/7.png?width=278&height=258&name=7.png) #### WBI **Water Band Index** This index is used to quantify relative water content at the leaf level.   ![MSI](https://grupoterrax.com/hs-fs/hubfs/8.png?width=286&height=260&name=8.png) #### MSI **Moisture Stress Index** This index is used to analyze canopy water stress, predict productivity, and perform biophysical modeling. High index values indicate greater water stress in plants and lower moisture content in both soil and foliage. ![IA1](https://grupoterrax.com/hs-fs/hubfs/9.png?width=504&height=456&name=9.png) #### AI-Driven Crop Yield **AI Model for Crop Yield Inference** This AI-based model is designed to estimate and infer crop yields using multi-source data. It enables the generation of accurate, scalable predictions at the field level and identifies high- and low-productivity zones to optimize management decisions, contributing to a more efficient and sustainable management of the analyzed territory. ![IA2](https://grupoterrax.com/hs-fs/hubfs/10.png?width=472&height=418&name=10.png) #### AI Crop Classification **AI Model for Potential Crop Inference** An artificial intelligence model trained on multi-spectral satellite imagery and agronomic reference data to identify and classify potential crops within a study area. It utilizes supervised learning algorithms to distinguish spectral patterns associated with different crops and generate probability or distribution maps. This model enables the assessment of agricultural suitability, rotation planning, and soil-use optimization based on specific field conditions.       ![Datos Climáticos](https://grupoterrax.com/hs-fs/hubfs/111.png?width=573&height=859&name=111.png) #### Climate Analysis **Climate Data Module** A climate analysis module that integrates key meteorological variables—temperature, precipitation, solar radiation, wind, and dew point—to characterize the environmental behavior of a region over time. It enables the assessment of seasonality, the detection of anomalies, and the correlation of atmospheric conditions with crop development or soil productivity. ![112](https://grupoterrax.com/hs-fs/hubfs/112.png?width=1412&height=552&name=112.png) #### Soil Analysis **Soil Data Module** A module that integrates fundamental edaphic variables—bulk density, organic matter, pH, cation exchange capacity (CEC), texture (clay, silt, and sand), and nitrogen content—to characterize soil structure and fertility. These indicators enable the assessment of productive capacity, water and nutrient retention, and land suitability for various crops. The model facilitates agronomic decision-making focused on sustainability and optimized soil management at the field level. ## Environmental Impact & Carbon Footprint 🌲⛰️🪵 ![AOD](https://grupoterrax.com/hs-fs/hubfs/AOD.jpg?width=800&height=924&name=AOD.jpg) #### AOD **Aerosol Optical Depth** The model measures the concentration of atmospheric aerosols and their effect on solar radiation. This variable indicates how much solar light is absorbed or scattered by suspended particles, enabling the assessment of pollution levels and the atmosphere’s energy balance. ![NO2](https://grupoterrax.com/hs-fs/hubfs/NO2.jpg?width=853&height=916&name=NO2.jpg) #### NO2 **NO₂ – Nitrogen Dioxide** The model quantifies the presence of nitrogen dioxide, a pollutant derived from vehicular and industrial combustion. Its values allow for the estimation of urban and industrial pollution levels and their influence on the formation of tropospheric ozone. ![CH4](https://grupoterrax.com/hs-fs/hubfs/CH4.jpg?width=804&height=908&name=CH4.jpg) #### CH4 **CH₄ – Methane** The model evaluates concentrations of this greenhouse gas, which has a global warming potential more than 25 times higher than that of CO₂. It enables the identification of both natural and anthropogenic emission sources, contributing to the calculation of the global carbon footprint. ![CO](https://grupoterrax.com/hs-fs/hubfs/CO.jpg?width=824&height=914&name=CO.jpg) #### CO **CO – Carbon Monoxide** The model detects incomplete combustion emissions in urban and industrial sectors. Although its direct climate impact is lower, it plays a key role in ozone formation and atmospheric chemistry. ![Monitoreo](https://grupoterrax.com/hs-fs/hubfs/Monitoreo.jpg?width=2186&height=1270&name=Monitoreo.jpg) #### Mining Monitoring This model enables the supervision of active mining areas and environmental liabilities through multi-temporal satellite imagery and AI analysis. It detects the expansion of extraction fronts, changes in waste rock piles, and variations in tailings and acid drainage, providing key information for environmental management, operational traceability, and sustainable mining planning. ![AMD](https://grupoterrax.com/hs-fs/hubfs/AMD.jpg?width=1270&height=1014&name=AMD.jpg) #### Acid Mine Drainage This model enables the detection and monitoring of acid effluents from active or abandoned mines by combining spectral analysis with AI-driven classification. It identifies areas affected by the oxidation of metallic sulfides—primarily pyrite and pyrrhotite—alongside the presence of dissolved iron and sulfates. This TerraX model is essential for environmental assessment, temporal tracking of contaminated waters, and the sustainable management of mining liabilities. ## Contact Us We’ll reach out to show you how our technology can drive transformation across your industry. ![satelite](https://grupoterrax.com/hs-fs/hubfs/satelite.png?width=1024&height=1536&name=satelite.png) #### Fill out the form below ![Color logo - no background](https://grupoterrax.com/hs-fs/hubfs/Color%20logo%20-%20no%20background.png?width=2000&name=Color%20logo%20-%20no%20background.png) - [About Us](https://grupoterrax.com/en-us/#nosotros) - [Agribusiness](https://grupoterrax.com/en-us/#agro) - [Mining](https://grupoterrax.com/en-us/#mineria) - [Environmental Impact](https://grupoterrax.com/en-us/#ambiental) ©2026 Terrax® Group. Todos los derechos reservados.