AVIRIS-NG hyperspectral data used in this study was acquired on 8 February, 2016 through an aerial campaign over Anand district in Gujarat, Ahmedabad (India).

Four remote sensing datasets were used for classification with both small and large training samples.

Self-supervised remote sensing images change detection at pixel-level.

Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data.

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...

Remote sensing image scene classification with self-supervised paradigm under limited labeled samples.

2020 IEEE GRSS Data Fusion Contest

Synthesizing remote sensing imagery from land cover maps and auxiliary raster data

This dataset is used for forest AGB prediction in Tanzania. It includes Sentinel-1 data, ALS data, and ground reference data.

This dataset is used for forest AGB prediction in Tanzania. It includes Sentinel-1 data, ALS data, and ground reference data.

This dataset is used for forest AGB prediction in Tanzania. It includes Sentinel-1 data, ALS data, and ground reference data.

Hyperspectral images

High-resolution remote sensing images

Remote sensing techniques for soil organic carbon estimation: A review.

NWPU-RESISC45 dataset was collected from more than 100 countries and regions in the world, consists of 31,500 remote sensing images.

A high-resolution satellite dataset with 6 land-use classes, annotated according to the land-use types, which can facilitate future studies in this field.

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

The AID dataset is a benchmark dataset for performance evaluation of aerial scene classification.

UCMerced land use dataset for remote sensing image scene classification