9 datasets found

SatlasPretrain: A large-scale dataset for remote sensing image understanding

Land cover classification is a key application for remote sensing and Earth observation (EO) data, as it provides essential information for various domains, such as urban...

The AI4Arctic Sea Ice Challenge Dataset is a benchmark for deep learning-based sea ice mapping. It provides a large-scale dataset for training and testing sea ice classification...

Sentinel-2 sea ice classification dataset for training a deep learning model to classify polar sea ice as thick/snow-covered, young/thin, or open water.

SEN12MS: A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion.

BigEarthNet is a large-scale Sentinel-2 dataset collected from a total of 125 Sentinel-2 tiles covering areas of 10 countries in Europe. The dataset was prepared with data from...

A lightweight deep learning-based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features

The dataset is used for oceanic eddy detection and classification from Sea Surface Height (SSH) maps.

The dataset used in this study is a 24-hour ambient population grid derived from LandScan USA Population Database 2019.