PROBA-V Super-Resolution dataset (Q6696063)

The PROBA-V Super-Resolution dataset is the official dataset ofESAs Kelvinscompetition for PROBA-V Super Resolution. 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 at300mand100mresolution in Plate Carre projection. The300mresolution data is delivered as128x128grey-scale pixel images, the100mresolution data as384x384grey-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 Multi-Image Super-resolution: 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 athttps://kelvins.esa.int/proba-v-super-resolution. A publication about the generation of this dataset exists as well: MrtensM., Izzo D., Krzic A. and Cox D.Super-resolution of PROBA-V images using convolutional neural networks. Astrodynamics 3.4 (2019): 387-402. (arxiv version)