Towards a Global Monitoring of Land-Surface Phenology Processes using Dense Time-Series of Landsat 8 and Sentinel-2 Images
Claudia Roeoesli1, Rogier de Jong1, Marc Paganini2, Andrew K Skidmore3, Roshanak Darvishzadeh3, Abebe Ali3, Tiejun Wang3, Uta Heiden4, Valentin Ziel5, Sander Mucher6, Michiel van Eupen6, Brian O'Connor7, Ilse Geijzendorffer8, Anis Guelmami8, Lea Hallik9, Ruben Van De Kerchove10, Richard Kidd11 and Michael E Schaepman1, (1)University of Zurich, Remote Sensing Laboratories, Department of Geography, Zurich, Switzerland, (2)European Space Research Institute, Frascati, Italy, (3)University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, Netherlands, (4)German Aerospace Center DLR Oberpfaffenhofen, German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany, (5)German Aerospace Center DLR, Oberpfaffenhofen, German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany, (6)Wageningen University and Research Centre, Earth Observation and Environmental Informatics, Wageningen, Netherlands, (7)UN Environment World Conservation Monitoring Centre, Cambridge, United Kingdom, (8)Research Institute for the conservation of Mediterranean Wetlands, Tour du Valat, Le Sambuc, Arles, France, (9)University of Tartu, Tartu Observatory, Tartu, Estonia, (10)VITO, Mol, Belgium, (11)Earth Observation Data Centre for Water Resource Monitoring EODC, Vienna University of Technology, Wien, Austria
