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 MODELING EARLY INDICATORS OF GRAPEVINE PHYSIOLOGY USING HYPERSPECTRAL IMAGING AND PARTIAL LEAST SQUARES REGRESSION (PLSR)
Paper IdentifierWE1.R6.10
Authors Matthew Maimaitiyiming, University of Missouri-Columbia, United States; Maitiniyazi Maimaitijiang, Saint Louis University, United States; Paheding Sidike, Purdue University Northwest, United States; Vasit Sagan, Saint Louis University, United States; Zoë Migicovsky, Dalhousie University, Canada; Daniel Chitwood, Michigan State University, United States; Peter Cousins, Nick Dokoozlian, E. & J. Gallo Winery, United States; Allison Miller, Saint Louis University, United States; Misha Kwasniewski, University of Missouri-Columbia, United States
Session Model Inversion and Parameter Estimation
Session Time Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Presentation Time
[This Paper Only]		 Wed, 30 Sep, 13:30 - 13:40 UTC
Wed, 30 Sep, 21:30 - 21:40 China Standard Time (UTC +8)
Wed, 30 Sep, 15:30 - 15:40 Central Europe Time (UTC +2)
Wed, 30 Sep, 06:30 - 06:40 Pacific Daylight Time (UTC -7)
Presentation Mode Virtual
Topic Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR): Estimation and Regression