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

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Paper Title GeoNEX: A geostationary earth observatory at NASA Earth eXchange: Earth monitoring from operational geostationary satellite systems
Paper IdentifierMO2.R14.1
Authors Ramakrishna Nemani, NASA Ames Research Center, United States; Weile Wang, Hirofumi Hashimoto, Andrew Michaelis, Thomas Vandal, ARC-CREST/NASA Ames Research Center, United States; Alexei Lyapustin, NASA Goddard Space Flight Center, United States; Jia Zhang, Carnegie Mellon University, United States; Tsengdar Lee, NASA/HQ, United States; Satya Kalluri, NOAA, United States; Hideaki Takenaka, Japan Aerospace Exploration Agency, Japan; Atsushi Higuchi, Kazuhito Ichii, Chiba University, Japan; Shuang Li, Guiyang Education University, China; Jong-Min Yeom, Korea Aerospace Research Institute, KARI, Korea (South)
Session Time Series Analysis
Session Time Mon, 28 Sep, 14:30 - 16:30 UTC
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Presentation Time
[This Paper Only]		 Mon, 28 Sep, 14:30 - 14:40 UTC
Mon, 28 Sep, 22:30 - 22:40 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 16:40 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 07:40 Pacific Daylight Time (UTC -7)
Presentation Mode Virtual
Topic Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Change Detection and Multi-Temporal Analysis