2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Paper Detail

My Schedule Add to My Schedule
Paper Title DOWN-SCALING MODIS VEGETATION PRODUCTS WITH LANDSAT GAP FILLED SURFACE REFLECTANCE IN GOOGLE EARTH ENGINE
Paper IdentifierFR1.R6.9
Authors Alvaro Moreno-Martinez, Universitat de València, Spain; Emma Izquierdo-Verdiguier, University of Natural Resources and Life Sciences (BOKU), Austria; Gustau Camps-Valls, Universitat de València, Spain; Marco Maneta, University of Montana, United States; Jordi Muñoz-Marí, Universitat de València, Spain; Nathaniel Robinson, University of Montana, United States; Jose E. Adsuara, Manuel Campos, Javier García-Haro, Adrian Perez, Universitat de València, Spain; Nicholas Clinton, Google, United States; John Kimball, Steven W. Running, University of Montana, United States
Session Image and Data Fusion II
Session Time Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Presentation Time
[This Paper Only]		 Fri, 02 Oct, 13:20 - 13:30 UTC
Fri, 02 Oct, 21:20 - 21:30 China Standard Time (UTC +8)
Fri, 02 Oct, 15:20 - 15:30 Central Europe Time (UTC +2)
Fri, 02 Oct, 06:20 - 06:30 Pacific Daylight Time (UTC -7)
Presentation Mode Virtual
Topic Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Image and Data Fusion