4 datasets found

A large-scale dataset containing 8,468 image pairs collected between 1990 and 2020, each with a size of 416 × 416 and a spatial resolution of 30 m/pixel.

Airborne hyperspectral images can be used to map the land cover in large urban areas, thanks to their very high spatial and spectral resolutions on a wide spectral domain.

Accurate land cover information is crucial for a wide range of applications, including environmental monitoring and management, urban planning, and monitoring.

The LoveDA dataset contains high-spatial-resolution images from three different cities, focusing on improving the generalization capability of model from different urban and...