New opportunities for developing high spatial resolution land products derived from gap free Landsat reflectance time series in Google Earth Engine

Alvaro Moreno1, Emma Izquierdo2, Marco P Maneta3, Gustau Camps-Valls4, Nathaniel Robinson5, Jordi Muñoz6, Nicholas Clinton7, Fernando Sedano8 and Steven W Running1, (1)University of Montana, Numerical Terradynamic Simulation Group (NTSG), Missoula, MT, United States, (2)BOKU University of Natural Resources and Life Sciences, Institute of Surveying, Remote Sensing and Land Information, Vienna, Austria, (3)University of Montana, Geosciences, Missoula, MT, United States, (4)Universitat de València, Image Processing Laboratory (IPL), Burjassot, Spain, (5)Panthera, New York, MT, United States, (6)University of Valencia, Image Processing Laboratory (IPL), Burjassot, Spain, (7)Google Inc., Mountain View, CA, United States, (8)University of Maryland, Washington, DC, United States