-A A +A
Cloud detection is a critical issue for satellite optical remote sensing, since potential errors in cloud masking can be translated directly into significant uncertainty in the retrieved downstream geophysical products. The problem is particularly challenging when only of a limited number of spectral bands is available, and thermal infrared bands are lacking. This is the case of Proba-V instrument, for which the European Space Agency (ESA) carried out a dedicated Round Robin exercise, aimed at intercomparing several cloud detection algorithms to better understand their advantages and drawbacks for various clouds and surface conditions, and to learn lessons on cloud detection in the VNIR and SWIR domain for land and coastal water remote sensing. The present contribution is aimed at a thorough quality assessment of the results of the cloud detection approach we proposed, based on Cumulative Discriminant …
International Society for Optics and Photonics
Publication date: 
9 Oct 2019

Umberto Amato, Maria Francesca Carfora, Guido Masiello, Carmine Serio

Biblio References: 
Volume: 11152 Pages: 1115207
Remote Sensing of Clouds and the Atmosphere XXIV