MATLAB helps geoscientists investigate and understand the interactions, preconditions, and trends related to Earth, ocean, and atmosphere dynamic systems. With MATLAB, you can:

  • Import and manage geo-data from various sources and data portals in a range of formats
  • Create 2D and 3D maps and visualizations
  • Use built-in tools and develop custom algorithms to process time series and images, perform advanced geospatial analyses, and build predictive models
  • Share code and models, enabling other researchers to access, reproduce, and build upon your work

Data Access

You can access and integrate diverse geoscience data from portals that are compatible with MATLAB. MATLAB supports various data formats, letting you import, process, and analyze datasets—from satellite imagery to climate records to seismological and hydrological data. Accessing data with MATLAB, you can:

Satellite image of Boston, Massachusetts.

Mapping and Visualization

Use MATLAB built-in tools to create custom plots, graphs, and interactive maps with multiple data layers. You can create 3D terrain models, real-time simulations, and geological visualizations using various data sources like digital elevation models (DEMs), satellite imagery, and waveform data. With these visualization tools, you can:

Hyperspectral data cube depicting color representations in images, including RGB, false colors, and CIR.

Data Analysis and Modeling

Explore MATLAB capabilities and toolboxes to process and analyze Earth, ocean, and atmospheric data for applications in seismology, ocean and climate science, hydrology, agriculture, and more. Use MATLAB to:

  • Explore and filter seismic waveforms, hydrological time series, or audio signals and automatically generate code with the Signal Analyzer app
  • Interactively implement image segmentation and AI techniques to classify regions from satellite images (Blog)
  • Analyze and visualize climate data with Climate Data Toolbox

Sharing

You can package your scripts, functions, and data into shareable files, create dynamic interactive live scripts, and generate comprehensive reports.

Examples of sharing MATLAB code and outputs with colleagues:

Live script of past precipitation from September 20, 1955 and future precipitation on September 20, 2041.