Scientific Data (Dec 2022)
CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2
- Cesar Aybar,
- Luis Ysuhuaylas,
- Jhomira Loja,
- Karen Gonzales,
- Fernando Herrera,
- Lesly Bautista,
- Roy Yali,
- Angie Flores,
- Lissette Diaz,
- Nicole Cuenca,
- Wendy Espinoza,
- Fernando Prudencio,
- Valeria Llactayo,
- David Montero,
- Martin Sudmanns,
- Dirk Tiede,
- Gonzalo Mateo-García,
- Luis Gómez-Chova
Affiliations
- Cesar Aybar
- Image Processing Laboratory, University of Valencia
- Luis Ysuhuaylas
- High Mountain Ecosystem Research Group, National University of San Marcos
- Jhomira Loja
- High Mountain Ecosystem Research Group, National University of San Marcos
- Karen Gonzales
- High Mountain Ecosystem Research Group, National University of San Marcos
- Fernando Herrera
- High Mountain Ecosystem Research Group, National University of San Marcos
- Lesly Bautista
- High Mountain Ecosystem Research Group, National University of San Marcos
- Roy Yali
- Research Group on Artificial Intelligence, Pontifical Catholic University of Peru
- Angie Flores
- High Mountain Ecosystem Research Group, National University of San Marcos
- Lissette Diaz
- High Mountain Ecosystem Research Group, National University of San Marcos
- Nicole Cuenca
- High Mountain Ecosystem Research Group, National University of San Marcos
- Wendy Espinoza
- High Mountain Ecosystem Research Group, National University of San Marcos
- Fernando Prudencio
- Sub-directorate of Atmospheric and Hydrospheric Sciences, Geophysical Institute of Peru
- Valeria Llactayo
- High Mountain Ecosystem Research Group, National University of San Marcos
- David Montero
- Remote Sensing Centre for Earth Systems Research (RSC4Earth), Leipzig University
- Martin Sudmanns
- Department of Geoinformatics – Z_GIS, University of Salzburg
- Dirk Tiede
- Department of Geoinformatics – Z_GIS, University of Salzburg
- Gonzalo Mateo-García
- Image Processing Laboratory, University of Valencia
- Luis Gómez-Chova
- Image Processing Laboratory, University of Valencia
- DOI
- https://doi.org/10.1038/s41597-022-01878-2
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 17
Abstract
Measurement(s) clouds extension Technology Type(s) machine learning with photo-interpretation. Factor Type(s) Copernicus Sentinel-2 images Sample Characteristic - Environment geosphere Sample Characteristic - Location all the world
