36 citations · 170 across the 34 of their papers we have counts for
6 papers · 1 filter
GeoAI in Social Science
Wenwen Li
GeoAI, or geospatial artificial intelligence, is an exciting new area that leverages artificial intelligence (AI), geospatial big data, and massive computing power to solve problem…
Assessment of a new GeoAI foundation model for flood inundation mapping
Wenwen Li, Hyunho Lee, Sizhe Wang +2
Vision foundation models are a new frontier in Geospatial Artificial Intelligence (GeoAI), an interdisciplinary research area that applies and extends AI for geospatial problem sol…
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features
Wenwen Li, Chia-Yu Hsu, Sizhe Wang +2
This paper introduces a real-time GeoAI workflow for large-scale image analysis and the segmentation of Arctic permafrost features at a fine-granularity. Very high-resolution (0.5m…
Semantic Similarity Measure of Natural Language Text through Machine Learning and a Keyword-Aware Cross-Encoder-Ranking Summarizer -- A Case Study Using UCGIS GIS&T Body of Knowledge
Yuanyuan Tian, Wenwen Li, Sizhe Wang +1
Initiated by the University Consortium of Geographic Information Science (UCGIS), GIS&T Body of Knowledge (BoK) is a community-driven endeavor to define, develop, and document geos…
GeoGraphViz: Geographically Constrained 3D Force-Directed Graph for Knowledge Graph Visualization
Sizhe Wang, Wenwen Li, Zhining Gu
Knowledge graphs are a key technique for linking and integrating cross-domain data, concepts, tools, and knowledge to enable data-driven analytics. As much of the worlds data have…
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
Chia-Yu Hsu, Wenwen Li
Improving the interpretability of geospatial artificial intelligence (GeoAI) models has become critically important to open the "black box" of complex AI models, such as deep learn…