PROBA-V Super-Resolution dataset

The PROBA-V Super-Resolution dataset is the official dataset of <strong>ESA's Kelvins</strong> <strong>competition for "PROBA-V Super Resolution"</strong>. It contains satellite data from 74 hand-selected regions around the globe at different points in time. The data is composed of radiometrically and geometrically corrected Top-Of-Atmosphere (TOA) reflectances for the RED and NIR spectral bands at <strong>300m</strong> and <strong>100m</strong> resolution in Plate Carrée projection. The <strong>300m</strong> resolution data is delivered as <strong>128x128</strong> grey-scale pixel images, the <strong>100m</strong> resolution data as <strong>384x384</strong> grey-scale pixel images. Additionally, a quality map is provided for each pixel, indicating whether the pixels are concealed (i.e. by clouads, ice, water, missing information, etc.). The goal of the challenge can be described as <strong>Multi-Image Super-resolution</strong>: Construct a single high-resolution image out of a series of more frequent low resolution images. Detailed information about the related competition can be found at https://kelvins.esa.int/proba-v-super-resolution. A publication about the generation of this dataset exists as well: <strong>Märtens M., Izzo D., Krzic A. and Cox D.</strong> "Super-resolution of PROBA-V images using convolutional neural networks." Astrodynamics 3.4 (2019): 387-402. (arxiv version)