Climate change is fundamentally changing the way many sectors of the economy operate, and emphasizes the need for efficiency-enhancing solutions. Satellite monitoring of vegetation, as part of the trend of digitization, significantly increases the efficiency in insurance, agriculture, vegetation management and other areas where it is necessary to know the current vegetation coverage.
However, the unavailability of such data during cloudy periods (spring, autumn) and in cloudy areas (tropical regions, the Baltics, etc.), greatly limits its usability.
That is why World From Space (WFS) and Ximilar are building the LAICA service, which enables daily monitoring and prediction of vegetation status.
The service works by merging multiple types of satellite data using deep learning methods.
The project “LAICA – Satellite monitoring of vegetation development by artificial intelligence methods” (CZ.01.1.02 / 0.0 / 0.0 / 21_374 / 0027239) is co-financed by the European Union under the Operational Program Enterprise and Innovation for Competitiveness.