Our Solutions

An overview of our advanced solutions and the way they can be beneficial for you.


Crop Yield Prediction

Big datasets obtained from satellite imageries and model outputs within statistical- and process-based models to provide accurate and specific predictions on crop yields at regional and field scales.

Drought Analysis

A combination of data sources, models, and techniques to understand the past, current and future impacts of drought on different sectors considering the context of climate change.


Crop Classification

Advanced AI algorithms and satellite imageries to accurately identify and classify different types of crops in a given area, providing valuable insights for agricultural management and crop monitoring.​

Hydrological Forecast​

Numerical/Physical models, weather data, and other inputs to predict the future behavior of different hydrological variables, such as river flow, groundwater levels, and soil moisture contents.


Climate Change Impact Assessment

The process of evaluating the scientific evidence of past and current climate changes, projecting future changes and evaluating the impacts of these changes on natural and human systems.

Spatial-Temporal Analysis

Interpreting the patterns, and interactions of phenomena that change in both space and time, with the use of geographical information, data visualization, and statistical methods.


Simulation & Optimization

The use of mathematical models, computer-based methods, and algorithms to imitate the behavior of a system or process and find the best solution or outcome among a set of possible scenarios or inputs.

Numerical Weather Prediction

The process of using mathematical models of the atmosphere and oceans, along with data from observations, to predict weather patterns and forecast future weather conditions.