CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2
César Aybar, Lesly Bautista, David Montero, Julio Contreras, Daryl Ayala, Fernando Prudencio, Jhomira Loja, Luis Ysuhuaylas, Fernando Herrera, Karen Gonzales, Jeanett Valladares, Lucy A Flores, Evelin Mamani, Maria Quiñonez, R Pantoja Fajardo, Wendy Espinoza, Antonio Limas, Roy Yali, Alejandro Alcántara, Martin Leyva, Raúl Loayza‐Muro, B. Willems, Gonzalo Mateo‐García, Luis Gómez-Chova
Abstract
Detecting and screening clouds is the first step in most optical remote sensing analyses. Cloud formation is diverse, presenting many shapes, thicknesses, and altitudes. This variety poses a significant challenge to the development of effective cloud detection algorithms, as most datasets lack an unbiased representation. To address this issue, we have built CloudSEN12+, a significant expansion of the CloudSEN12 dataset. This new dataset doubles the expert-labeled annotations, making it the largest cloud and cloud shadow detection dataset for Sentinel-2 imagery up to date. We have carefully reviewed and refined our previous annotations to ensure maximum trustworthiness. We expect CloudSEN12+ will be a valuable resource for the cloud detection research community.