On September 26th, the Research Centre for Artificial Intelligence in Geomatics (RCAIG) hosted an inaugural Monthly Workshop at The Hong Kong Polytechnic University, gathering a vibrant community of researchers dedicated to advancing knowledge in the field. The workshop was hosted by lab director Prof. Qihao Weng, Chair Professor of Geomatics and Artificial Intelligence, and chaired by Dr. Pir Mohammad, a Research Assistant Professor in the center. This workshop provides a platform for lab researchers to showcase their projects, sparking stimulating discussions and collaborative ideas.
Dr. Yijie Wu shared her latest advancements in explainable GeoAI, where she utilized 3D pretrained models for urban point cloud analysis to enhance the interpretation of land surface temperature predictions using the SHAP framework. Meanwhile, Dr. Ali Ismaeel’s presentation highlighted the intersection of remote sensing and AI, detailing how these technologies can effectively map understory microclimates to deepen our understanding of forest stomatal conductance amid the challenges of climate change.
Dr. Baoling Gui introduced an innovative metric system designed to elucidate the regulatory mechanisms of urban green spaces on surface temperatures, validated across a range of climates in more than 200 cities worldwide. Dr. Rui Sun illustrated potential impacts and outlined her aim to disentangle how fire use in agriculture-driven deforestation contributes to warming, along with the mechanisms and factors that control this process. Dr. Binbin Li presented how ICESat-2 laser altimeter data and other remote sensing tools can be leveraged to analyze inconsistencies in risks across major global river delta areas.
Dr. Peiyi Yin emphasized the importance of selecting appropriate proxies in phenological research while stressing the need for comprehensive studies into the underlying biophysical mechanisms. Dr. Abbas Haider focused on analyzing compound climate extremes in East and South Asia and understanding their spatial and temporal dynamics using machine learning methods, followed by discussions on explainable AI.
Doctoral student, Miss Lihong Wang reported on her earlier research, which developed accurate precipitation and rainfall erosivity data for her study area, alongside conducting spatio-temporal analyses. Mr. Ziyun Yan’s research concentrates on enhancing satellite image time series representations through a multi-task self-supervised training strategy, analyzing their unique characteristics and distinctiveness in the process.
Professor Qihao Weng, Director of the JC STEM Lab of Earth Observations and RCAIG, offered constructive feedback on each presentation, highlighting directions for further research and depth of inquiry. Additionally, researchers engaged in discussions, posing questions that stimulated ideas for future studies.
RCAIG remains committed to fostering a collaborative environment where innovative research thrives. Through these monthly workshops, we aim to not only share knowledge but also inspire new avenues of exploration in the ever-evolving fields of artificial intelligence and geomatics.
Dr. Yijie Wu shared her latest advancements in explainable GeoAI, where she utilized 3D pretrained models for urban point cloud analysis to enhance the interpretation of land surface temperature predictions using the SHAP framework. Meanwhile, Dr. Ali Ismaeel’s presentation highlighted the intersection of remote sensing and AI, detailing how these technologies can effectively map understory microclimates to deepen our understanding of forest stomatal conductance amid the challenges of climate change.
Dr. Baoling Gui introduced an innovative metric system designed to elucidate the regulatory mechanisms of urban green spaces on surface temperatures, validated across a range of climates in more than 200 cities worldwide. Dr. Rui Sun illustrated potential impacts and outlined her aim to disentangle how fire use in agriculture-driven deforestation contributes to warming, along with the mechanisms and factors that control this process. Dr. Binbin Li presented how ICESat-2 laser altimeter data and other remote sensing tools can be leveraged to analyze inconsistencies in risks across major global river delta areas.
Dr. Peiyi Yin emphasized the importance of selecting appropriate proxies in phenological research while stressing the need for comprehensive studies into the underlying biophysical mechanisms. Dr. Abbas Haider focused on analyzing compound climate extremes in East and South Asia and understanding their spatial and temporal dynamics using machine learning methods, followed by discussions on explainable AI.
Doctoral student, Miss Lihong Wang reported on her earlier research, which developed accurate precipitation and rainfall erosivity data for her study area, alongside conducting spatio-temporal analyses. Mr. Ziyun Yan’s research concentrates on enhancing satellite image time series representations through a multi-task self-supervised training strategy, analyzing their unique characteristics and distinctiveness in the process.
Professor Qihao Weng, Director of the JC STEM Lab of Earth Observations and RCAIG, offered constructive feedback on each presentation, highlighting directions for further research and depth of inquiry. Additionally, researchers engaged in discussions, posing questions that stimulated ideas for future studies.
RCAIG remains committed to fostering a collaborative environment where innovative research thrives. Through these monthly workshops, we aim to not only share knowledge but also inspire new avenues of exploration in the ever-evolving fields of artificial intelligence and geomatics.
