H007
Artificial Intelligence and Machine Learning for Water Quality Monitoring Using Remote Sensing I Posters

Monday, 7 December 2020: 04:00-20:59
Poster
Primary Convener:  Jinhui Jeanne Huang, Nankai University, Tianjian, China
Convener:  Dawei Han, University of Bristol, Civil Engineering, Bristol, United Kingdom
Primary Liaison:  Hongwei Guo, Nankai University, Environmental Science and Engineering, Tianjin, China
Chairs:  Jinhui Jeanne Huang, Nankai University, Tianjian, China, Dawei Han, University of Bristol, Civil Engineering, Bristol, United Kingdom and Hongwei Guo, Nankai University, Environmental Science and Engineering, Tianjin, China
OSPA Liaison:  Jinhui Jeanne Huang, Nankai University, Tianjian, China
 
Investigation of the Trends and Model Evaluations of multiple Hydrological Parameters over Global Arid Regions (756502)
Nikolay Todorov1, Wenzhao Li2, Hesham Mohamed El-Askary3, Thomas Piechota2 and Daniele Struppa2, (1)Chapman University, Computational and Data Sciences Graduate Program, Schmid College of Science and Technology, Chapman University, Orange, California 92866, USA, Orange, CA, United States, (2)Chapman University, Schmid College of Science and Technology, Orange, CA, United States, (3)Chapman University, Center of Excellence in Earth Systems Modeling & Observations, Orange, CA, United States
 
Modeling the Relationship Between Forest Cover, Temperature, and Water Quality in Paulins Kill River Watershed (775569)
Kevin Altamirano, Upstream Tech, Natel Energy Inc, Alameda, CA, United States and Alden Keefe Sampson, Upstream Tech, Alameda, CA, United States
See more of: Hydrology