9 datasets found

The Indian Pines dataset contains 16 land cover types, which leaves 200 bands to be used for experiments after removing noise and water absorption bands.

National Land Cover Database (NLCD) for the conterminous United States.

The dataset contains twelve land cover types, namely, Fallow land, Built-up-area, Dense Vegetation, Fenugreek, Fodder, Gram, Mustard, Oat, Pea, Sparse Vegetation, Spinach and...

The Pavia University dataset was acquired by ROSIS airborne sensor over the University of Pavia, Italy, in 2003. The original HSI comprises 610×340 pixels and 115 spectral bands.

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 Canadian Cropland Dataset is a multitemporal patch-based dataset of Canadian croplands, enriched with labels retrieved from the Canadian Annual Crop Inventory.

National Land Cover Database (NLCD) dataset

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...

The Salinas dataset was acquired over the Salinas Valley in California and gathered by the AVIRIS sensor.