Hydrologic Remote Sensing

Yang Hong is a professor of hydrometeorology and remote sensing in the School of Civil Engineering and adjunct professor in the School of Meteorology, University of Oklahoma. Currently, he also serves as honorary chair professor at Tsinghua University, Beijing, China. Previously, he was a research scientist at NASA’s Goddard Space Flight Center and a postdoctoral researcher at University of California, Irvine. Dr. Hong currently directs the HyDROS Lab (http://hydro.ou.edu) at the National Weather Center and also serves as the codirector of WaTER (Water Technology for Emerging Regions) Center. He is a faculty member of the Advanced Radar Research Center and is also an affiliated member of the Center for Analysis and Prediction of Storms at the University of Oklahoma. His areas of research span the wide range of hydrology–meteorology–climatology, with a particular interest in bridging the gap among water–weather–climate–human systems across scales in space and time. He has developed and taught subjects such as remote sensing retrieval and applications, advanced hydrologic modeling, climate change and natural hazards, engineering survey/measurement and statistics, land surface modeling, and data assimilation systems for hydrologic cycle and water systems under a changing climate. Dr. Hong has served on several international and national committees, review panels, and editorial boards of several journals. He has served as chair of the AGU-Hydrology Section Technical Committee on Precipitation (2008–2012) and has been an editor of numerous journals. He is a two-time recipient of the NASA Group Achievement Award "For Significant Achievement in Systematically Promoting and Accelerating the Use of NASA Scientific Research Results for Societal Benefits" and "For Global Precipitation Measuring Mission Post-launch Performance" by the NASA Headquarter Administrator in 2008 and 2015, respectively. He also received the 2014 University Regents’ Award for Superior Research "For Superior Accomplishments in Research and Creative Activity, and Professional and University Service." He has extensively published in journals of remote sensing, hydrology, meteorology, and hazards and has disseminated several technologies to universities, governmental agencies, and private companies. Dr. Hong earned a PhD major in hydrology and water resources with a PhD minor in remote sensing and spatial analysis at the University of Arizona (2003), an MS (1999) in environmental sciences, and a BS (1996) in geosciences at Peking (Beijing) University, China.

"I teach Remote Sensing for Hydrology for graduate students and Ph.D. students. This book will be a perfect text book and reference book for the course. I believe this book will be a valuable textbook or reference book for senior undergraduates or graduate students with emphasis, interest, or major in remote sensing and/or hydrology." — Hongjie Xie, University of Texas at San Antonio, USA

• Satellite Remote Sensing Observations. Satellite Remote Sensing for Global Precipitation Monitoring. Diurnal Variability of Precipitation in West Africa Monsoon Region. ET Mapping Utilizing Remote Sensing Data. Soil Moisture Estimation Using Active and Passive Remote Sensing Techniques. Remote Sensing Streamflow Estimation via AMSR-E and TMI. Remote Sensing for Surface and Ground Water Observation. Total Water Storage Observed by GRACE. Modeling and Data Assimilation. The Coupled Routing and Excess Storage (CREST) Distributed Hydrological Mode. AMMAS Land Surface Model Intercomparison over West Africa. Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan. Hydroclimatology of Lake Victoria Region Using Hydrologic Model and Satellite Remote Sensing Data. Microwave Satellite Data for Hydrologic Modeling in an Ungauged Basin in Africa. Assimilating the Passive Microwave Streamflow Signals for Improving the Hydrological Predictions in Okavango River Basin, Africa. Statistical and Hydrologic Evaluation of Satellite Precipitation Products for Mountainous Basin. Capacity Building. Real Time Operation Hydrological Monitoring and Forecasting System for Local Decision Makers. Satellite Remote Sensing Drought Monitoring and Predictions Over the Globe. Capacity Building Efforts in Hydrological Modeling for Africa - Workshops about CREST Mode. Capacity Building for Pakistan Hydrometeorologic Hazards. Cloud-Based Cyber-Infrastructure for Disaster Monitoring sand Mitigation Mobile Device Apps for Empowering Citizen Scientists.