| Paper Title | FORECASTING VEGETATION HEALTH IN THE MENA REGION BY PREDICTING VEGETATION INDICATORS WITH MACHINE LEARNING MODELS |
|---|---|
| Paper Identifier | WE2.R10.9 |
| Authors | Sachi Perera, Wenzhao Li, Computational and Data Sciences Graduate Program, United States; Erik Linstead, Chapman University, United States; Hesham Elaskary El-Askary, Center of Excellence of Earth Observations and Modeling, United States |
| Session | Remote Sensing for Forest and Vegetation Structure, Health and Growth II |
| Session Time |
Wed, 30 Sep, 14:30 - 16:30 UTC Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8) Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2) Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7) |
| Presentation Time [This Paper Only] |
Wed, 30 Sep, 15:50 - 16:00 UTC Wed, 30 Sep, 23:50 - 00:00 China Standard Time (UTC +8) Wed, 30 Sep, 17:50 - 18:00 Central Europe Time (UTC +2) Wed, 30 Sep, 08:50 - 09:00 Pacific Daylight Time (UTC -7) |
| Presentation Mode | Virtual |
| Topic | Land Applications: Forest and Vegetation: Application and Modelling |