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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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School of Civil and Environmental Engineering
Ph.D. Thesis Defense Announcement
Integrated Assessment of Multi-Sensor Gridded Data Products for Agricultural and Hydrological Applications
By
Husayn El Sharif
Advisors:
Dr. Aris P. Georgakakos (CEE), Dr. Jingfeng Wang (CEE)
Committee Members:
Dr. Rafael Bras (CEE), Dr. Emanuele Di Lorenzo (EAS), Dr. Grey Nearing (NASA)
Date & Time: 6:00PM, Monday, December 3rd, 2018
Location: Sustainable Education Building (SEB), 122
New remote sensing and gridded reanalysis data products from sources including the NASA Soil Moisture Active Passive (SMAP) Mission, Global Precipitation Measurement (GPM) Mission, North American Land Data Assimilation System (NLDAS), Parameter-elevation Relationships on Independent Slopes Model (PRISM), and others provide unprecedented fine resolution characterization of near-surface atmospheric variables (e.g. air temperature, precipitation, downwelling solar radiation, etc.) and surface-to-root-zone hydrologic variables (e.g. soil moisture, hydraulic conductivity, soil composition, etc.) with national to global coverage. When integrated with state-of-the-science process models, these novel data products have the potential to provide useful information for applications in agriculture management, drought assessment, irrigation planning, and hydrological (e.g. streamflow) assessments. This study investigates the value of integrating these new multi-sensor gridded data products for hindcasting and prediction of regional-scale crop yield, irrigation demand, monitoring of agricultural drought, and hydrological flows.
