The land cover maps were developed at Boston University in Boston, Mass., using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on NASA’s Terra satellite.

In addition to the new 2021 data, 10-meter land-use and land-cover data for 2017, 2018, 2019, and 2020 is included, illustrating five years of change across the planet.

Google and the World Resources Institute created Dynamic World, a near real-time land cover dataset built through deep learning to show what’s on the surface of the planet.

Researchers from Chiba University and Nagoya University, Japan, have developed a highly accurate land cover map for Siberia, providing insights into climate change and predictions. Using advanced ...

The refined land cover data would, therefore, help scientists monitor these major changes, serving as a foundational tool for predicting and managing these changes in the coming decades.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce computational time in land cover mapping, particularly for vegetation.

As new satellite images become available, the AI system classifies land cover types in near-real-time by detecting combinations of nine different land cover types — water, flooded vegetation ...

Esri released a 2020 global land-cover map last year as well as a high-resolution 2050 global land-cover map, showing how earth’s land surfaces might look 30 years from now. With the planned annual ...