The American Geophysical Union (AGU) Fall Meeting, one of the largest geoscience conferences, took place from December 9 to December 13 in Washington D.C., USA.
At this conference, two graduate students and one postdoctoral researcher from the HydroAI Laboratory at GIST participated in person. Subin Kim (Integrated master’s and Ph.D.) and Nayoung Kwon (Master’s) participated in the poster session on December 7, while Nguyen Hoang Hai (Postdoctoral researcher) gave his oral presentation on December 6.
Subin Kim presented her research on ‘Enhancing Land Data Assimilation by Considering Spatio-Temporal Error Dynamics of Satellite-based Soil Moisture Data: Integrating TCA and Deep Learning for accurate uncertainty estimation’. Nayoung Kwon composed her poster about the ‘Impact of Altered Snow Patterns on Spring Wildfires in Korean Peninsula Using Reanalysis Data in a Warming Climate’. “After presenting my research and sharing perspectives with others, I broadened my outlook by receiving valuable feedback from scholars. Additionally, presenting in front of others improved my overall presentation skills”, said Nayoung Kwon.
They also mentioned learning a lot not only during the presentation but also afterward. “I gained new ideas by viewing other posters and attending oral sessions related to my research. Additionally, there were many recent studies related to the SWOT mission, which helped me understand the current trends in hydrology and remote sensing”, Subin Kim said.
Nguyen Hoang Hai gave an oral presentation on ‘Characteristic Time of Groundwater Recharge as a Climate Indicator for Monitoring Flash Drought’. He also presented an i-Poster on behalf of Aigerim Bolatbekkyzy, an undergraduate researcher in the HydroAI laboratory, titled "Global-scale Satellite-based Agricultural Drought Monitoring from the Land-Atmosphere Interaction Perspective’.
“Although I could not participate in the entire AGU due to other commitments, it was valuable to meet scholars and share ideas”, said Nguyen Hoang Hai.
Not only the individuals who participated in AGU in person had achievements, but also other students who submitted their posters. The poster on ‘Development of Chlorophyll-a Prediction Model for Inland Reservoirs Using Satellite and Land Surface Model: Applying Deep Learning Approach’ by Seongjun Lee, a master’s degree student in the HydroAI Laboratory, caught the attention of researchers from Landsat. This led to an interview where Seongjun Lee introduced his own research on the Landsat homepage. “Thanks to the opportunity from AGU, I was able to introduce my research to the whole world”, Seongjun Lee expressed his appreciation.
